84324 i This report was prepared by a core team comprised of Marcel Ionescu- Heroiu, Sebastian Burduja, Dumitru Sandu, Ștefan Cojocaru, Brian Blankespoor, Elena Iorga, Enrico Moretti, Ciprian Moldovan, Titus Man, Raularian Rus and Roy van der Weide. The report benefited from thoughtful comments by peer reviewers Christine Kessides, Jean- Francois Marteau, Guido Licciardi, Mariana Iooty, Kirsten Hommann, Koen Delanghe, Ramona Bere, and Florentina Iugan. The team would like to thank Elisabeth Huybens, Indermit Gill, and Uwe Deichmann for the advice, support, and guidance provided throughout the elaboration of this report. The team would also like to thank the counterparts in the Ministry of Regional Development and Public Administration, for the timely feedback, the support offered in the elaboration of this study, and the excellent collaboration throughout. Last but not least, the team thanks the Romanian National Institute of Statistics for the close cooperation in providing critical data. The findings, interpretations, and conclusions expressed in this report do not necessarily reflect the views and position of the Executive Directors of the World Bank, the European Union, or the Government of Romania. th December 26 , 2013 Table of Contents List of Acronyms ............................................................................................... iv List of Figures ..................................................................................................... v List of Tables ..................................................................................................... ix Executive Summary ......................................................................................... xii Introduction ....................................................................................................... 1 On Economic Growth ......................................................................................... 1 Productivity as a Factor of Human Industriousness ............................................ 3 Productivity as a Factor of Capital Investments .................................................. 4 Productivity as a Factor of Exogenous Technological Change ............................ 5 Productivity as a Factor of Endogenous Technological Change .......................... 6 An Economy is the Sum of Its People – All of Its People ..................................... 7 The Role of Innovation Jobs in Driving Growth in the New Economy ................. 8 Innovation as Engine of Economic Growth ....................................................... 10 The Multiplier Effect.......................................................................................... 12 Why is the Multiplier So Large? ........................................................................ 13 Enabling Productivity and Competitiveness ..................................................... 15 Good Institutions ............................................................................................... 15 Access to Opportunities .................................................................................... 16 Good Quality of Life .......................................................................................... 17 The Dimensions of Development ..................................................................... 18 Density – Why Economic Mass Matters ............................................................ 18 Distance – Why Proximity to Markets Matters ................................................. 24 Division – Why Regional Integration Matters ................................................... 31 Market Forces Shaping Urban Development .................................................... 35 Scale Economies and Agglomeration – Why Growth Takes Place Where Growth Is Already Happening ........................................................................................ 35 Factor Mobility and Migration – Why It Is Easier to Enable Access to Existent Opportunities than to Create New Opportunities ............................................ 40 Transport Costs and Specialization – Why Falling Transport Costs have Led to Increased Localization not Dispersion ............................................................... 46 The Role of Public Institutions ......................................................................... 53 Urbanization – Cities as Economic Engines ....................................................... 54 Define Functional Urban Areas...................................................................... 54 Better Connectivity and Accessibility in High-Density Rural Areas ................ 56 Strong Institutions for more Remote Rural Areas ......................................... 60 Help Growth Poles Become Larger ................................................................ 61 Expand Cities’ Economic Mass ...................................................................... 68 Improving quality of life in cities – Building people magnets ........................... 74 Cities for people vs. cities for cars ................................................................. 81 Getting from point A to point B ..................................................................... 84 The beautiful city ........................................................................................... 91 Territorial Development – Solutions for Lagging and Leading Areas ................ 95 Romania’s lagging regions ............................................................................ 96 A Local Human Development approach to defining lagging regions .......... 100 i Dynamics in territorial human development .............................................. 104 Local development dynamics in their (micro)regional frame ..................... 105 Regional effects in rural local development ................................................ 107 A rising tide lifts all boats ............................................................................ 108 Urban development can drive rural development ....................................... 111 Improving mobility for people living in lagging areas ................................. 113 What kind of infrastructure is needed in Romania ...................................... 117 Where should new infrastructure be developed ......................................... 131 Proposals for regional infrastructure .......................................................... 137 Benefits of new infrastructure development .............................................. 143 Institutions that foster mobility ...................................................................... 148 Extension of Public Utility Services .............................................................. 150 Rehabilitation of infrastructure networks ................................................... 153 Prioritizing investments in public utility infrastructure ............................... 155 Institutional improvements for better service delivery ............................... 157 Integrating Marginalized Communities – Targeted Efforts for Inclusive Growth ......................................................................................................................... 160 Marginalization: Key Facts and Persistent Challenges ................................ 161 Definition, Identification, and Typology ...................................................... 161 Common Challenges .................................................................................... 165 Roma and Non-Roma Poor .......................................................................... 166 Broader Mobility Challenges for Minority Groups ....................................... 172 The Case for Integrating Marginalized Communities .................................. 173 Integrated Solutions for Inclusive Growth ................................................... 177 Regional Integration – From Periphery to Hub ............................................... 181 Trade Flows – The Broad Picture ................................................................. 183 Continue the Integration into EU Markets .................................................. 188 South-East Integration (SEI) ........................................................................ 194 Reduce and eliminate trade barriers ........................................................... 200 Aim to “Integrate” with Distant Regions ..................................................... 201 Bibliography .................................................................................................. 203 Annex 1. Economic sectors with the highest share of intra-county and inter- county commuting, in 2002 ............................................................................ 207 Annex 2. List of Economic Sectors by Average Wage they Offer .................... 209 Annex 3. Job Creating Sectors ......................................................................... 211 Annex 4. Driving buffers for major cities in Romania ...................................... 212 Annex 5. Concentrated economic sectors in Romania, in 2010 ...................... 220 Annex 6. Shift-Share analysis for Romania’s growth poles ............................. 225 Annex 7. Proposed TEN-T Rail Network .......................................................... 234 Annex 8. Improvement of access times to Western border, Bucureşti, and Constanţa, when TEN-T rail infrastructure will be finalized ............................ 235 Annex 9. The Local Human Development Index (LHDI) methodology ............ 238 Annex 10. Local Human Development Index by counties and residence, for 2002 and 2011 ................................................................................................. 240 Annex 11. Predictors of communes’ development, 2002, 2011 ..................... 241 ii Annex 12. Regional gravity models with Euclidean distance .......................... 242 Annex 13. Gravity fields of large cities and urban connectivity of localities as predictors of local human development ......................................................... 246 iii List of Acronyms CLLD Community-Led Local Development GDP Gross Domestic Product EBRD European Bank for Reconstruction and Development EC European Commission ERDF European Regional Development Funds ESF European Social Fund EU European Union EUR Euro IPP Romanian Institute for Public Policy IURCON Urban Connectivity Index LHDI Local Human Development Index M&E Monitoring and Evaluation MIT Massachusetts Institute of Technology MRDPA Ministry of Regional Development and Public Administration NGO Non-Governmental Organization OECD Organization for Economic Cooperation and Development PPP Public-Private Partnership PUS Public Utility Services R&D Research and Development RON New Leu (Romanian currency) ROP Regional Operational Programme SEI South-East Integration TEN-T Trans-European Transport Network TND Traditional Neighborhood Design TOD Transit-Oriented Development TRACE Tool for Rapid Assessment of City Energy UNESCO United Nations Educational, Scientific and Cultural Organization USD US Dollar (US currency) WB World Bank WDI World Development Index WDR World Development Report iv List of Figures Figure 1. For much of our history, economic growth has gone hand in hand with population growth .................................................................................................. 2 Figure 2. Romania fares relatively well in terms of average number of hours worked weekly, in 2011 .......................................................................................... 3 Figure 3. City Population as Share of National Population in Selected Cities ....... 19 Figure 4. Centralized Economies underwent Forced Urbanization ....................... 20 Figure 5. Level of dependency on state budget transfers of Romanian municipalities, towns and communes ................................................................... 21 Figure 6. Romania's Recent Suburbanization ........................................................ 22 Figure 7. Firm Revenues by District in Romania, in 2011 ...................................... 23 Figure 8. The link between urbanization and level of development across Romanian counties (in 2010) ................................................................................ 24 Figure 9. Economic Production per Square Mile in the US shows patterns of concentration ........................................................................................................ 25 Figure 10. GDP per Capita across Counties in Romania, 2009 .............................. 26 Figure 11. 2007 data on Regional GDP per Capita in the EU shows the development bridge connecting Romania to the economic heart of Europe ....... 27 Figure 12. The Carpathian Mountains lengthen the distance to Western Europe28 Figure 13. București has rapidly distanced itself from the rest of the country ..... 28 Figure 14. GDP per capita across counties, in 2000, 2005, and 2010 ................... 29 Figure 15. Most counties have begun to catch up to the EU average since 1995 30 Figure 16. Evolution of Spatial Disparities in Living Standards, Select Countries.. 31 Figure 17. Romania shows one of the highest rates of increase in GDP per Capita across EU Regions, 2000-2007. ............................................................................. 33 Figure 18. Increased regional Integration can shift Romania’s position from a peripheral market to a central trade hub ............................................................. 33 Figure 19. Most counties have become less prominent in Romania's economy .. 37 Figure 20. Distribution of employees across Romania, 2011 ............................... 38 Figure 21. Distribution of employees in high-paying sectors, by locality, 2011 ... 38 Figure 22. The software industry, like other growing industries in Romania, is increasingly localized............................................................................................. 39 Figure 23. New housing units, 1990-2011 ............................................................. 41 Figure 24. Commuting patterns in Romania, by county, in 2002 .......................... 42 Figure 25. Labor mobility across county borders, by locality, in 2002 .................. 42 Figure 26. Romania was in the top-10 remittance receiving countries in 2008 (in US$ million) ........................................................................................................... 44 Figure 27. The number of Romanian students abroad has been growing ............ 44 Figure 28. Romanian students are spread across many OECD states, 2010 ......... 45 Figure 29. Evolution of Global Trade, by 3-digit Product Groups.......................... 46 Figure 30. Share of total exports by locality in Romania, 2010 ............................. 48 Figure 31. Share of exports going to the EU by locality in Romania, 2010 ........... 49 Figure 32. Exports may benefit from connective infrastructure to the EU ........... 49 Figure 33. Exports to non-EU trading partners, in 2010 ....................................... 51 Figure 34. Distribution of Municipalities, Towns, and Communes (in 2011) ........ 55 Figure 35. Some of the densest counties are also some of the least urban ......... 57 Figure 36. Types of dense rural agglomerations ................................................... 57 Figure 37. High density rural areas are usually clustered around cities (in 2011) 58 v Figure 38. The New Urbanizers (in 2011) .............................................................. 59 Figure 39. Density profile or Romanian communes (in 2011) ............................... 61 Figure 40. Zipf Distribution in Selected Countries, for 2010 ................................. 62 Figure 41. Zipf Distribution in Romania, for 2010 ................................................. 63 Figure 42. Zipf Distribution in Romania, for 2012 ................................................. 64 Figure 43. Distribution of Employees in Job-Growth Sectors................................ 67 Figure 44. Urban economic areas are larger than administrative boundaries...... 68 Figure 45. The topography of Cluj-Napoca ........................................................... 70 Figure 46. Prices per square meter for apartments in select localities, in 2012 ... 71 Figure 47. One-hour rail access areas for selected cities shows several areas of potential focus ...................................................................................................... 73 Figure 48. Directions of the New Urbanism: TDA and TOD principles .................. 78 Figure 49. Traffic accidents involving death or physical injuries in Romania ........ 82 Figure 50. Quality of life indicators in selected European cities, in 2009 ............. 85 Figure 51. Minutes per day spent travelling to work in 3 Romanian cities, in 2009 ............................................................................................................................... 87 Figure 52. Minutes per day spent travelling to work in 5 European cities, in 2009 ............................................................................................................................... 87 Figure 53. Means of transport primarily used to commute in selected cities, in 2009 ...................................................................................................................... 88 Figure 54. Number of passengers transported by public transport (in 1,000) ...... 90 Figure 55. Evolution of green areas (in hectares) per capita in major Romanian cities ...................................................................................................................... 93 Figure 56. Satisfaction with green spaces in selected cities.................................. 94 Figure 57. Romania's lagging regions .................................................................... 97 Figure 58. Wage distribution by locality, in 2010 .................................................. 98 Figure 59. Wage distribution by county, in 2010 .................................................. 99 Figure 60. Counties with higher share of concentrated sectors, in 2010 ........... 100 Figure 61. The Local Human Development Index, by counties, in 2002 ............. 101 Figure 62. The Local Human Development Index, by counties, in 2011 ............. 102 Figure 63. Local human development is closely related to GDP/capita at county level ..................................................................................................................... 103 Figure 64. Leading and lagging hierarchies in human development diverge slightly from economic ones ........................................................................................... 103 Figure 65. A long lasting territorial disparity in Romania between urban and rural infant mortality rate, 1990-2011......................................................................... 107 Figure 66. The Local Human Development Index at the locality level, for 2002 . 108 Figure 67. The Local Human Development Index at the locality level, for 2011 . 109 Figure 68. Cities are key drivers of development in Romania ............................. 110 Figure 69. Proximity to major connective infrastructure matters in development ............................................................................................................................. 110 Figure 70. Urban connectivity and local human development 2011 (averages for communes by counties) ...................................................................................... 112 Figure 71. Lagging areas generate the most migrants ........................................ 114 Figure 72. Mobility is key for people living in lagging areas ................................ 115 Figure 73. 2008-2011 Shift-Share analysis for the Iaşi Metropolitan Area ......... 116 Figure 74. 2008-2011 Shift-Share analysis for the Cluj Metropolitan Area......... 116 Figure 75. The development of connections to the West is underway .............. 118 Figure 76. Passenger Cars per 1,000 people, in 2009 ........................................ 120 vi Figure 77. Romania has an under-developed road infrastructure network ....... 121 Figure 78. Insufficient and haphazard roads development ................................ 122 Figure 79. Map of investment in roads infrastructure from ERDF – 2012 .......... 122 Figure 80. Roads endowment is not linked to economic performance .............. 123 Figure 81. A higher need for roads in the West, but the East is catching up ...... 124 Figure 82. Motorway network proposed by the Government in 2006 ............... 125 Figure 83. Romania seems to have an over-supply of rail infrastructure ........... 126 Figure 84. Railway Passengers Carried, in 2010 (in million passenger-kilometer) ............................................................................................................................. 127 Figure 85. Passenger rail traffic, in 2007 ............................................................. 128 Figure 86. Rail freight traffic, in 2007 .................................................................. 128 Figure 87. Number of passengers carried by air, in selected countries .............. 129 Figure 88. Airports in Europe .............................................................................. 129 Figure 89. The busiest airports in Romania ......................................................... 130 Figure 90. Population gravitational model .......................................................... 132 Figure 91. Economic mass gravitational model ................................................... 133 Figure 92. Economic gravitational model, with existent infrastructure (left) and with proposed highway and expressway network (right) ................................... 135 Figure 93. Share of county expenditures on transport as compared to national expenditures on transport, in 2009* .................................................................. 136 Figure 94. Demographic gravitational model, with existent infrastructure (left) and with proposed highway and expressway network (right) ............................ 137 Figure 95. Demographic (left) and economic (right) gravity model for the West Region ................................................................................................................. 138 Figure 96. Demographic (left) and economic (right) gravity model for the Center Region ................................................................................................................. 139 Figure 97. Demographic (left) and economic (right) gravity model for the North- East Region .......................................................................................................... 140 Figure 98. Demographic (left) and economic (right) gravity model for the North- West Region ........................................................................................................ 140 Figure 99. Demographic (left) and economic (right) gravity model for the South Region ................................................................................................................. 141 Figure 100. Demographic (left) and economic (right) gravity model for the South- East Region .......................................................................................................... 142 Figure 101. Demographic (left) and economic (right) gravity model for the South- West Region ........................................................................................................ 143 Figure 102. Travel time to the Western border with current road infrastructure ............................................................................................................................. 144 Figure 103. Travel time to the Western border with proposed road infrastructure ............................................................................................................................. 144 Figure 104. Travel times to Bucureşti with current road infrastructure ............. 146 Figure 105. Travel times to Bucureşti with proposed road infrastructure .......... 146 Figure 106. Travel times to Constanţa with current road infrastructure ............ 147 Figure 107. Travel times to Constanţa with proposed road infrastructure ........ 147 Figure 108. Leading regions have poorer school performance than lagging regions, in 2011 ................................................................................................... 149 Figure 109. Endowment with public service infrastructure ................................ 151 Figure 110. Cities and their surroundings have better basic services endowment ............................................................................................................................. 152 vii Figure 111. Public transport infrastructure has been crumbling, particularly in smaller cities and towns ...................................................................................... 154 Figure 112. Localities which have expanded public transport (outside Bucureşti) ............................................................................................................................. 154 Figure 113. Counties with the largest contracted sums under OP Environment, for solid waste management projects (in 2012) ....................................................... 155 Figure 114. OP Environment investments in urban heating systems (in 2012) .. 156 Figure 115. Monitoring system for local public utility services ........................... 159 Figure 116. Location of Roma communities in Cluj-Napoca ............................... 163 Figure 117. Average household size (top left), unemployed population (top middle), households connected to the sewage system (top right) vs. distribution of Roma in Cluj-Napoca (bottom) ....................................................................... 164 Figure 118. Distribution of Roma population in 2012 (preliminary results) ....... 168 Figure 119. Romania 2002 Poverty Map ............................................................. 168 Figure 120. The correlation between poverty and presence of Roma................ 169 Figure 121. Distribution of Hungarian population in 2012 ................................. 173 Figure 122. Economic and fiscal benefits of integration in select countries ....... 176 Figure 123. Share of exports to the EU over time ............................................... 184 Figure 124. Comparative evolution of GDP, imports, and exports ..................... 184 Figure 125. Top importers’ share of Romania’s total exports ............................. 185 Figure 126. Top exporters’ share of Romania’s total imports ............................. 185 Figure 127. Categories of export goods over time (in 1,000 USD) ...................... 187 Figure 128. Structure of exports in 2000............................................................. 187 Figure 129. Structure of exports in 2011............................................................. 188 Figure 130. Infrastructure development has not kept up with changes in trade 188 Figure 131. How major exports were transported in 2011 ................................. 189 Figure 132. Outline of the A1, A2, and A3 Highways .......................................... 191 Figure 133. Passengers per airport in selected countries ................................... 193 Figure 134. Remittances have outpaced FDI in recent years (in bln. USD) ......... 194 Figure 135. Regional demographic gravity model ............................................... 195 Figure 136. A bridge at Turnu Măgurele could enable increased trade between Romania and Bulgaria ......................................................................................... 200 Figure 137. Time to export/import (in 2012) ...................................................... 200 Figure 138. Comparison of trade logistics performance indexes (in 2012) ........ 201 viii List of Tables Table 1. GDP per Capita in Selected EU Countries and Cities (in Euro PPP) .......... 32 Table 2. Typology of scale economies ................................................................... 36 Table 3. Top migrant sending countries, 1990 vs. 2000 ........................................ 43 Table 4. Top exports and imports of goods in Romania, 2010 ............................. 47 Table 5. Romania’s main trading partners, by share of total exports (in 2009) .... 50 Table 6. Demographic Shifts in Major Romanian Cities ........................................ 65 Table 7. Number of employees by city, in 2011 .................................................... 65 Table 8. Number of Employees in High-wage Sectors, in 2011 ............................. 66 Table 9. Local and regional indicators for major cities in Romania ....................... 69 Table 10. The upward movement of Romanian counties on the scale of local human development, 2002-2011 ........................................................................ 105 Table 11. Community leaders and laggards in the Romanian system of local human development ........................................................................................... 106 Table 12. The most (left) and the least (right) connected communes in Romania ............................................................................................................................. 113 Table 13. Passenger Transport by Modes (in 1,000s) ......................................... 118 Table 14. Passenger-Kilometers by Transport Modes (in millions) ..................... 119 Table 15. Modal Split of Passenger Transport, in 2007 (including passenger cars) ............................................................................................................................. 119 Table 16. Goods Transport by Mode (in thousand tons) .................................... 120 Table 17. Ease of Dealing with Construction Permits and Registering Property, in 2012 .................................................................................................................... 148 Table 18. Synopsis on models of public utility services management and related cost/investment information – 2012 .................................................................. 158 Table 19. Rural population of Romania by poverty type of locality and development region ............................................................................................ 170 Table 20. Poverty has different structures .......................................................... 170 Table 21. There are common and specific factors for the three types of community rural poverty .................................................................................... 171 Table 22. Romania’s largest exporters ................................................................ 199 ix Romania: Regions, main cities, and major infrastructure Executive Summary This report builds on the framework developed in the World Bank’s World Development Report 2009: Reshaping Economic Geography. The purpose of the report is to serve as input to a number of strategic documents prepared by the Ministry of Regional Development and Public Administration and the Romanian Government: The National Territorial Development Strategy, The Regional Development Strategy, The Regional Operational Programme 2014-2020, and The EU Partnership Agreement. The key building blocks of the argument made in this report are that Density, Distance, and Division (the 3Ds, as laid out in the WDR 2009) matter for development. More specifically, growth in most countries is driven by a few dynamic urban centers with high economic density (i.e., a high concentration of economic activity); lagging regions benefit when the distance to places with high economic density is reduced; and the country as a whole is better off in the long run if divisions with surrounding countries (e.g., “thick borders” and restrictive trade policies) are reduced or eliminated. In short, a country’s economic development can be understood as the product of two key factors: the economic mass of cities and the closeness to centers with large economic mass, both within national borders and abroad. In this vein, this report argues that four critical priorities are key for Romania in the short and medium term: 1) good connective infrastructure, internally and with European/global economic centers; 2) stronger institutions in lagging areas (e.g., education, healthcare, land markets, water and sewage system, etc.); 3) measures targeted at marginalized communities throughout the country; and 4) quality of life investments in the most dynamic and competitive cities. These priorities are summarized in the graph below based on geographic reach and the development level of different areas in Romania. Key investment priorities in Romania differ across leading and lagging areas Shorten the distance to large markets globally by improving infrastructure and International encouraging cross-border flows of people, capital, and ideas Intervention level Improve connections between leading and lagging areas within Romania to enable Regional efficient concentration of resources and spillover effects Improve connective Foster good institutions infrastructure between cities (basic services infrastructure, & surrounding areas Local education, health, land markets, etc.) Promote quality-of-life investments Design and implement targeted measures for marginalized groups Lagging Leading Area Area Level of economic development xii The main report provides a detailed discussion of these various policy areas. A summary of the key recommendations is provided below, with the important caveat that the priorities mentioned are not meant as a prescriptive list of recommended investments, but as examples of a potential path to achieve Romania’s sustainable and inclusive development. INTERNATIONAL LEVEL – Shorten the distance to large markets globally by improving infrastructure and encouraging cross-border flows of people, capital, and ideas. Given that 70% of Romania’s exports go to Western Europe, it is critical to improve links to the West. As this report shows, an increasing share of Romania’s trade is dependent on road infrastructure, yet the country still has one of the least developed road networks in Europe. Most importantly, in 2013, a highway connection to the Western border was yet to be established. The gravity models below were developed to determine which infrastructure links are most needed, looking at synergies between different cities, taking the existent infrastructure into consideration (left map) and the road network proposed by the National Spatial Plan (right map). A Priority 0 can be inferred from these figures. Economic gravitational model, with existent infrastructure (left) and with proposed highway and expressway network (right) Priority 0: Completion of the A1 Highway (Corridor IV) and the A3 Highway (the Transylvania Highway and the Comarnic-Brașov Highway) As the map on the right shows, there are two corridors that seem to be a highest-ranking priority – the A1 and A3 highways. Of the two, the A3 Highway would make more sense from an economic efficiency point of view, as it connects some of Romania’s most dynamic urban centers – București, Ploiești, Brașov, Târgu Mureș, Cluj-Napoca, and Oradea (i.e., 3 of the 7 growth poles and 2 of the 13 urban development poles in Romania) – with each other and to the West. From a financial efficiency point of view, however, it is the A1 highway that makes the most sense, as it is part of the TEN-T network and is eligible for EU funding. The map below indicates the course the A1 and A3 highways will follow and the topography they will cross once finished. It is important to note that A1 xiii connects Pitești to Sibiu through the Carpathian Mountains. However, the gravity model above indicates that a Brașov-Sibiu highway connection would also be needed in order to fully leverage the strong synergies between the two cities. The A1 and A3 Highways With respect to increasing exchanges with non-EU countries, Romania should aim to become a trade hub for the EU and beyond, overcoming current limitations derived from its peripheral position within the European common market. The solution for encouraging growth in all directions (i.e., not just westward) is to reduce divisions between Romania and neighboring countries like Moldova, Serbia, and the Ukraine, and further toward Turkey, Russia, and Central Asia. REGIONAL LEVEL - Improve connections between leading and lagging areas within Romania to enable efficient concentration of resources and positive spillover effects. A second priority should be the development of connective infrastructure to the most dynamic areas in Romania – i.e., the growth poles. On the one hand, improved accessibility to the growth poles will enable firms that invest there to leverage a larger, stronger labor market. On the other hand, better connections to these cities will offer a larger pool of people better access to the opportunities that these dynamic centers offer (e.g., jobs, education, healthcare, culture, entertainment, airports, etc.). xiv This connective infrastructure should be prioritized based on the actual economic density of the respective regions. The table below gives an indication of the economic prowess of the largest functional urban areas in Romania (i.e., București and the 7 growth poles, and the areas around those cities that can be accessed within a 20-minute, 40-minute, and 60-minute drive from the city centers and their borders, respectively). It is clear that the functional urban area of București is the most important in Romania, with around 40%-50% of firm revenues reported there. As such, a key priority going forward would be to further improve connections to București, in addition to the A1, A2, and A3 highways that radiate westward, northward, and eastward from the capital. Local and regional indicators for major cities in Romania Driving time buffer from city center 60 min. from 20 min. 40 min. 60 min. city border Population 350,000 452,000 767,000 945,000 Timişoara % of National Firm Revenues 3.16% 3.41% 5.43% 6.00% Population 360,000 482,000 620,000 905,000 Cluj-Napoca % of National Firm Revenues 3.29% 3.48% 3.71% 4.47% Population 328,000 423,000 582,000 943,000 Iaşi % of National Firm Revenues 1.47% 1.52% 1.60% 2.20% Population 302,000 470,000 787,000 1,080,000 Craiova % of National Firm Revenues 1.43% 1.60% 2.70% 2.94% Population 312,000 492,000 620,000 716,000 Constanţa % of National Firm Revenues 2.51% 4.12% 4.54% 4.67% Population 328,000 485,000 615,000 868,000 Braşov % of National Firm Revenues 2.65% 2.83% 2.98% 3.54% Population 305,000 556,000 2,724,000* 3,554,000* Ploieşti % of National Firm Revenues 2.89% 3.44% 43.17%* 47.24%* Population 1,842,000 2,150,000 2,525,000 4,020,000 Bucureşti % of National Firm Revenues 37.82% 41.15% 41.61% 50.58% Data Source: National Institute of Statistics and ListăFirme *Includes figures for Bucuresti and its surroundings Priority 1: Complete the București Ring Road The second most developed area after București is Ilfov County, which surrounds the capital. To enable better connections between the communities in Ilfov and those in București, and to facilitate a full traffic bypass around the capital, it is critical to complete București’s Ring Road. This would allow better access to the capital for an additional 2 million people that live within a one-hour drive. Priority 2: Extend București’s Public Transport System to the wider metropolitan area Because the cost of living and land prices have grown continuously in București, many people and companies have moved to the outskirts of the capital city, in Ilfov County. Ilfov is in fact one of the fastest growing areas (both in demographic and in economic terms) in Romania, and having better links in and with this area is critical. This could entail, for example, an extension of the metro network, which has recently become eligible for EU funding, and an extension of the bus, tramway, and trolleybus networks from București to the metropolitan area. The xv same argument could hold for other major cities, depending on their density profiles, flows of people/firms, etc. In addition, investments in bicycle and pedestrian paths would ensure the development of sustainable transport options for wider metropolitan areas. In addition to better connections to the areas immediately surrounding București, it is critical to also improve connections between the functional area of the capital and some of the lagging areas in Romania. Such connections would enable people in those lagging areas an easier access to the key opportunities that București offers (jobs, education, healthcare, transport hubs, culture, entertainment, etc.). Obviously, connective infrastructure investments should be prioritized based on the number of people who would get connected. The demographic gravitational maps below indicate the areas where the proposed highway and expressway network in the National Spatial Plan would enable the most significant synergies. It becomes immediately obvious that one of the areas that would benefit most from improved road networks is the North- East Region. Demographic gravitational model, with existent infrastructure (left) and with proposed highway and expressway network (right) Priority 3: Consider building the Moldova Highway The North-East Region is one of the least developed regions in Romania and also one of the regions with the highest population densities in the country. Developing a highway, or maybe an expressway in a first phase, between București and Suceava-Botoșani, would not only enable people in the North-East Region better access to the opportunities in the capital, but also function as a vehicle for the urbanization of the region. Although it is one of the most densely populated in Romania, the North-East Region is also one of the poorest and least urbanized. A potential Moldova Highway could enable key cities in the area (e.g., Iași, Bacău, Vaslui, Piatra Neamț, Suceava, Botoșani, Roman, etc.) to gain demographic mass through improved connections to the rural hinterland. Priority 4: Consider building the Craiova-Pitești Highway Two other regions that are less developed compared to the rest are the South and South-West. The București-Constanța Highway, which was recently xvi completed, provides a transport backbone for a number of key areas in the South Region. The București-Pitești Highway provides another important link in the region and it could be continued with a connection to Craiova. As the table above has shown, there are around 1 million people living within a one-hour drive of Craiova and they stand to benefit greatly from improved connections within the South-West Region and to the capital city. Priority 5: Improve connective infrastructure to Cluj-Napoca and Timișoara Outside București, there are two cities that have set themselves apart in terms of their positive growth trajectories – Cluj-Napoca and Timișoara. The former is the only large city in Romania that has registered a growing population (albeit slightly) at the last Census and it has the largest economic mass within a 20- minute access area. Timișoara forms, together with Arad, the second-largest economic zone in Romania (after București). What would be most needed in these areas should ideally be decided locally. Current dynamics, as highlighted by the gravity models above, point to a number of potential sub-priorities: Priority 5.1: Build a highway connection between Cluj-Napoca and Sebeș Cluj-Napoca has strong connections to Târgu Mureș in the east and to Alba Iulia and Sebeș to the south. The completion of the Transylvania Highway (covered under Priority 0) would significantly improve access times between Cluj-Napoca and Târgu Mureș. The Cluj-Napoca – Sebeș Highway would improve connections to a number of dynamic economic areas in Alba County and would also provide a link between the proposed A1 and A3 motorways. Priority 5.2: Develop a high-speed rail between Timișoara and Arad Timișoara and Arad form the largest economic zone outside București -Ilfov. The two cities are already connected by a highway and it would make sense to improve public transport connections – e.g., through a high-speed rail. LOCAL LEVEL – Foster good institutions in lagging areas (basic services infrastructure, education, health, land markets, etc.); – Improve connective infrastructure between cities and their surrounding areas to expand their economic mass; – Design and implement targeted measures for marginalized and minority groups to support their participation as active parts of the economy; – Promote quality-of-life investments in leading areas to help attract and retain people. Large scale, high impact investments need to be doubled by local projects that aim to enable people’s access to basic living standards and opportunities in their area. Particularly in lagging areas, it is critical to nurture good institutions that provide the same start in life to all people, regardless of their location. While economic activity may not be spread evenly across space (it is usually concentrated in a number of dynamic urban centers), it is critical that everybody xvii has access to similar basic services such as good quality education, proper healthcare, functioning land markets, running water and sewage, etc. The map below provides an indication of the location of the more developed and less developed areas in Romania. The East and the South tend to be less developed, with a higher incidence of poor and very poor localities. As this report shows, these areas tend to also have a lower share of people with access to water, sewage, electricity, or central heating. They also tend to have an educational and health infrastructure that is in need of maintenance and upgrade – usually because localities in lagging areas have fewer resources at their disposal for investments in the infrastructure they manage. The 2011 Local Human Development Index at the locality level reveals poorer areas in the South and East, and wealthier areas around major cities Data source: Dumitru Sandu Note: The blank spots indicate localities for which no data was available Priority 6: Achieve basic life standards in lagging areas Ensuring that all people have access to quality public services is a critical way of creating the premises for a more productive workforce. If people do not have to spend additional time getting clean water, accessing healthcare, or getting to school, they have more capacity to dedicate to realizing their full productive potential. It is therefore critical to invest in educational and healthcare infrastructure, as well as in basic public services such as water, sewage, and sanitation. xviii As the map above indicates, the regions where such investments are most needed are the North East, the South East, the South, and the South West. There are, however, pockets of poverty in the other regions as well. Investments in achieving basic life standards should also take into consideration operation and maintenance (O&M) costs, and should be prioritized accordingly. For example, if water and sewage networks cannot cover their costs through the tariffs they charge, they ultimately risk deterioration. In this respect, it is important to keep in mind the polarizing force of cities. For example, the extension of water and sewage networks should be prioritized around larger urban areas, as operating costs in peri-urban localities can be subsidized by the center city’s budget. Priority 7: Improve the definition and administration of functional urban areas For cities to play a developing and polarizing role they need to be understood as dynamic functional areas. Cities, especially the most dynamic ones, are not self- contained and, in order to most effectively serve as growth engines, they need to be understood as part of functional urban areas. As the map below shows, the localities with the most significant population growth are those situated around large urban areas. Failing to define functional urban areas can undermine even the best local strategies and can ultimately lead to suboptimal development outcomes. For example, a city may have a very good General Urban Plan focusing on sustainable growth patterns with the aid of clear planning regulations. However, if surrounding localities do not also have the same planning regulations in place, the effects will be suboptimal, as development around the center city will continue in an unregulated manner. Similarly, the fact that most suburban areas continue to be defined as rural areas can lead to the wrong policy solutions. For example, the new Census results have prompted many to talk about policy measures aimed at tackling the reverse urban-to-rural migration that seems to be taking place in Romania. A look at the data shows, however, that most of the urban-rural reverse migration is in fact the result of a suburbanization process – i.e., people moving to the suburbs of București, Cluj -Napoca, Timișoara, Constanța, Iași, and Ploiești, with most of these suburbs still wrongly defined as rural areas. Properly categorizing functional urban areas would also require the identification of adequate institutional solutions for their management. In this vein, the Growth Poles report talks about the potential of having Metropolitan Development Agencies, which would function much like Regional Development Agencies do, and would focus on the planning and management of functional urban areas. These Metropolitan Development Agencies could be tasked to do the planning for functional urban areas and to implement projects at the metropolitan level. xix Romania has recently experienced a suburbanization process Data Source: National Institute of Statistics Priority 8: Enable dynamic cities to enlarge their demographic and economic mass To act as economic engines at the regional level, dynamic functional urban areas should be helped to expand their economic and demographic mass. If a company decides to invest in an urban center but cannot draw needed resources from a large enough labor market, it is important to enable easy access to the regional labor pool. At the same time, easier access to these center cities also means that xx a larger number of people have access to the opportunities that these cities offer (e.g., jobs, education, healthcare, culture, entertainment, etc.). Growth poles in Romania have had positive economic dynamics with a significant share of new investments located in peri-urban areas. For these cities it will be important to expand metropolitan public transport systems (ideally to areas with a high enough population density and with strong commuter flows), to invest in the development of new connective infrastructure (e.g., new roads and rail connections), and to invest in the upgrade (e.g., transforming a normal road in an expressway) and proper maintenance of existing infrastructure. Such investments should be prioritized based on careful analysis of local and regional trends, and according to a set of clear criteria (e.g., the availability of resources to maintain and operate the new or upgraded infrastructure). Priority 9: Target dedicated measures at marginalized and minority groups Economic growth essentially results from connecting people to opportunities and enabling them to realize their full potential. But, everywhere around the world, and Romania makes no exception, there are people who face special challenges in sharing the benefits of development. They are marginalized, disenfranchised, and often overlooked by policies that are meant to promote growth. Interestingly, marginalization is not always proportional to distance from economic mass: indeed, many poor communities reside in the proximity of large cities and sometimes right in the downtown areas (e.g., historical centers). Still, despite this fact, they remain unable to access educational and professional opportunities that would allow them to break the vicious cycle of poverty and reap the benefits of truly inclusive, sustainable growth. Moreover, these marginalized groups often represent a significant share of the total population, and enabling them adequate access to opportunities would not only make social sense, but it would also generate economic benefits given their potential contribution to local, regional, and national development. To address challenges faced by marginalized groups and integrate them into the larger Romanian economic system, it is important to go beyond investments in hard infrastructure (e.g., roads, public transportation, schools, hospitals, social housing). Soft measures (e.g., anti-discrimination approaches, education, public media campaigns, etc.) have to complement infrastructure investments to ensure that marginalized groups share the benefits of prosperity and ultimately shed the aura of marginalization. In addition, even for hard investments, it is critical to involve marginalized groups in the process of designing and implementing projects in order to strengthen their sense of ownership and empowerment. Priority 10: Promote quality of life investments in leading areas Innovation jobs have a significant role in not only driving local and regional growth, but also in spurring the development of other economic sectors (i.e., they have a high multiplier effect). As such, local authorities throughout the world undertake quality of life investments to attract skilled people and firms that do innovation work. Usually, a larger pool of innovating companies and workers goes hand in hand with a more developed local economy. Within Romania, only a handful of cities (e.g., București, Cluj-Napoca, Timișoara, or Iași) have managed to encourage and sustain the growth of local xxi innovation sectors. These cities are in a competition (internally, but also globally) for the country’s brightest people. These are also places where investments in quality of life (e.g., good public transport infrastructure, parks, cultural buildings, pedestrian areas, or bike paths) would make the most sense. However, quality of life investments do not only have economic benefits (such as attracting and retaining qualified people and innovative firms), but can also have social and environmental benefits. For example, investments in pedestrian areas, energy efficiency, bike paths, and public transport networks can help discourage the use of private cars (thus decreasing greenhouse gas emissions) and can enable easier access to opportunities for poor and marginalized groups. As such, this type of investments can and should be considered by a larger range of cities, beyond just the most developed ones. That said, it is important to place investments in quality of life within a clear list of priorities. When a significant part of a city’s or a metropolitan area’s population still does not have access to running water and sewage, one would have to reconsider having as a top priority the development of, say, an integrated network of bike paths. Ultimately, it is important to note that the list of priorities above should not be seen as a rigid or exhaustive set of critical needs for Romania’s growth. There are a number of elements that are highly relevant to a country’s development and to boosting cities’ competitiveness more broadly (e.g., a well-functioning higher- education sector, a good business environment, strong research and development, etc.), which have not been discussed here in detail. These issues are beyond the scope of this study, which focuses primarily on economic geography issues and hard infrastructure investment needs, in line with the mandate and focus of the Ministry of Regional Development and Public Administration – the key audience of the current work. Indeed, a number of topics would require separate in-depth treatment and would further bolster the arguments made by this report. For example, globally, cities that have been most successful in transforming themselves and climbing up the value ladder tend to have universities (and often university clusters) that work proactively with the private sector to apply research findings, identify demand for innovations, and develop the local labor force accordingly. In this vein, it would be interesting to see where Romanian universities are located and how they perform in this regard. Similarly, an in-depth discussion about entrepreneurship and its regional patterns would add an important perspective to the current work. For its part, government could enable a rise in entrepreneurship levels by investing in business infrastructure (e.g., incubators) and by ensuring ease of entry through simplified taxation and licensing. Also, markets play a critical role in spurring entrepreneurship – usually, places with a higher demographic and economic mass tend to also have a higher incidence of entrepreneurial activities. In this context, it would also be important to acknowledge that, while Romania has witnessed a rapid transition to a market economy, the lack of a tradition of entrepreneurship and SMEs during the communist period has hindered bottom- up economic development. For several decades, the centrally planned localization of productive activities and the distribution of productive capacities did not reflect market dynamics. That said, in the transition to a market xxii economy, some regions and cities, supported in part by geographic conditions, were able to make progress and diversify their economic base, while others maintained their specialization in sectors based on their physical endowments. Without attempting to provide an exhaustive account of Romania’s development path forward, this report makes a strong argument for nurturing competitive cities as engines of sustainable and inclusive growth. The following chapters introduce the key concepts that underlie the essential vision of this work (drivers of economic productivity, dimensions of development, and corresponding market forces), insisting on the role that public institutions can play in fostering Romania’s growth through local-, regional-, and international-level interventions. The fundamental hope is that the current report, along with the rich quantitative data provided as supporting evidence, will constitute a key reference point in the critical, ongoing conversation about Romania’s urban development. xxiii Introduction This report describes solutions for improving the competitiveness of Romanian cities. More specifically, the aim is to enable cities to spur sustainable and inclusive economic growth in Romania. Growing economies around the world teach a simple lesson: cities are an economy’s most powerful growth engines. Worldwide, cities are responsible for Cities are an economy’s around 70% of global GDP and, within the EU, they are responsible for 67% of most powerful growth GDP. As such, it is of critical importance to determine how Romania’s cities can engines become more efficient and effective economic growth engines promoting sustainable and inclusive economic growth. Often times, discussions about city competitiveness start from a limited understanding of economic growth and the key drivers behind it. As such, before evaluating the competitiveness of Romanian cities in depth, this report begins in chapter 1 with a description of the definition and understanding of economic growth based on the latest available knowledge. Further, chapter 2 follows the framework developed by the World Bank for the World Development Report 2009: Reshaping Economic Geography, describing the three main dimensions of development: density, distance, and division; it also includes preliminary observations on Romania’s recent urban development trends. The third chapter evaluates several key market forces – scale economies and agglomeration, factor mobility and migration, and transport costs and specialization – along with potential ways for harnessing them. The fourth chapter makes recommendations for public interventions aimed at promoting and sustaining long-term economic growth. On Economic Growth Economic growth is a product of two factors: population growth and productivity growth. In simple terms, population growth translates into more people producing and consuming greater quantities of goods and services. Productivity growth translates into a higher average output for each individual who is part of Economic growth is a the economy (e.g., more cars per auto plant worker, more popular songs per product of two factors: singer, or more widely purchased software programs per developer). As such, population growth population growth and productivity growth are inter-related and and productivity complementary. The former creates the conditions to boost productivity growth because, without population growth, there will be no additional demand for the extra goods and services produced by each individual in the economy. Similarly, productivity increases have enabled welfare premiums that have allowed population numbers to grow. Ever since the dawn of the industrial age, economic expansion has gone hand in hand with population increases. Since population growth was typically a given, economists have not spent too much time factoring this into their models. Much of their attention has focused instead on the conditions that lead to productivity increases. In fact, much of economic theory deals with this specific topic. 1 Currently, for the first time in post-industrial history, developed countries Most developed face a situation in which their population, especially their middle-class, is countries now have a shrinking. Nobody is quite sure how this demographic shift is affecting these shrinking population and countries’ economies, but it is safe to assume that the impact will be significant. almost all have a It may even turn out that the reduction of the middle-class in the developed shrinking middle-class world, which has triggered shrinkage in the global markets, is one of the main underlying conditions for the 2008 global economic crisis. Figure 1. For much of our history, economic growth has gone hand in hand with population growth Source: Maddison, Angus. 2003. The World Economy: Historical Statistics. OECD Publishing. Note: GDP and GDP/Capita figures are in million 1990 International Geary-Khamis dollars For Romania and its cities, demographic decline may also have significant implications. In 1988, before the 1989 Revolution and the toppling of the communist regime, the average fertility rate (births per woman) in the country stood at 2.3 – above the 2.1 level required for population replacement. In 1990, After 1989, the fertility the fertility rate dropped to 1.8, and in the new millennium it has hovered rate in Romania dropped around 1.3. Some of the after-effects of this demographic shift are already from 2.3 to 1.3 present. For example, enrollment in tertiary education has grown continuously after the 1989 Revolution, from around 235,000 students in 1990 to around 907,000 students in 2007. This has helped fuel a burgeoning services sector, in need of people with higher education. However, in 2008, when the 1990 generation entered college, tertiary enrollment started to shrink. By 2011, it had dropped 40% compared to the 2007 peak, reaching 540,000 students. Obviously, with fewer people attending and graduating from colleges and universities, cities’ economies stand to suffer, as they have a smaller labor pool to draw from. The implications can be even more dramatic, as population decline will also translate into shrinking domestic markets, which in the absence of growing, vibrant export markets can reduce local productivity. Policies to boost population growth are, however, beyond the scope of this report and remain a topic for other fields. Still, for the purpose of this analysis, the current demographic context underscores the importance of assessing productivity growth and its main potential drivers in Romania. Cities play a particularly important role in this respect. 2 Much ink has flown and many Nobel Prizes have been awarded for studies on the underlying causes of productivity growth and, by extension, of economic growth. The thinking on the subject has evolved with the global economy, but theory has usually remained one or two steps behind practice. As such, our understanding of economic growth today is inevitably incomplete. Nonetheless, reviewing the evolution of our understanding of the subject bring us closer to understanding how cities in Romania can become more competitive. And, indeed, the story of economic growth is inherently the story of productivity. Productivity as a Factor of Human Industriousness Up to the 1940s, much of the world understood productivity as a direct result of human industriousness. That is, the harder a person works, the more productive she is likely to be. For many people, this continues to be the default Up to the 1940s, much understanding of productivity. Thus, the economic prowess of the United States, of the world understood Western Europe, and Japan, is often attributed to the character of the people productivity as a direct living there. Romanians may think, for example, that Germans are better off than result of human they are because they work harder. In fact, a survey conducted by the Pew industriousness Research Center (2012), indicates that people in Britain, France, Spain, Italy, Poland, and the Czech Republic do think that Germans are the hardest-working people in Europe. At the other end of the spectrum, most Europeans think that the Greeks are the least hard working. As statistics indicate, however (see figure below), Greeks worked, on Countries that are average, the longest weeks in the EU in 2011. Romanians, along with workers thought to have the from other new Member States are also among the hardest working Europeans – hardest working people well above the EU average. In fact, the countries that are most well off and most do not necessarily productive in Europe also tend to work less in terms of average number of hours confirm this perception per week. Figure 2. Romania fares relatively well in terms of average number of hours worked weekly, in 2011 Source: EuroStat These data prove that the extra hour spent at the office does not necessarily translate into higher productivity. At the same time, the argument that some nations are more inclined to work hard is also dismissed. The implication is that we must look beyond the notion of hard work to understand the true drivers of productivity. 3 Productivity as a Factor of Capital Investments Roy Harrod and Evsey Domer laid the foundations of economic growth theory in the 1940s. They developed a mathematical model, which showed that productivity increases could be achieved through investments in capital. To help illustrate this model, we take the hypothetical example of Ion – a typical farmer in Romania. He owns two plots of land that he works day in and day out. Originally, he owned only one plot, but with hard work he managed to acquire a second one. As an ambitious farmer, Ion would like to acquire an additional two plots of land. However, he realizes that he will not have the time to work the additional plots: no matter how much hard work he will put in, there simply is not enough time in the day to allow him to do it all. In effect, this is the economic conundrum faced by many agricultural societies – i.e., hard work will not necessarily sustain long term growth. After a couple of years of fruitless attempts to boost productivity, Ion finds out that a new tractor factory has opened up nearby. Knowing that this machine would help him with his productivity challenge, he promptly uses the savings he made over the years to buy a tractor. As such, he is able to work four plots of land and his productivity has doubled through the purchase of the tractor. To take this example further, Ion’s son, Gheorghe, who up to this point has Communist countries helped his father work the land, now has more free time and decides to move to industrialized quickly by the city to get a job in the tractor factory. As a factory worker, Gheorghe relocating vast numbers immediately becomes more productive than his father. Initially he manages to of people from rural produce, say, one tractor per week – the equivalent of the crop from 8 plots of areas into cities land. With training and after gaining more experience, Gheorghe manages within one year to produce two tractors per week – i.e., the equivalent of the crop from 16 plots of land. In only one year, Gheorghe has rapidly become more productive than his father by a few orders of magnitude. In essence, this is the economic development model that was promoted by centralized economies after World War II. Significant public funds were spent on In their early phases of building industrial conglomerates, and people were moved en-masse from the industrialization, fields to the factories. Initially, this strategy worked very well and, in fact, these centrally planned were the boom years sometimes known as communism’s Golden Age. Growth countries grew quicker rates in the 1950s and 1960s were on average 2% higher than in developed than market economies countries. This era quickly passed, and its ultimate results are well-known. When in 1989 one centralized system after another started to fall, many people pondered over the causes of the sudden decline. As it turns out, economic theory has a simple explanation for this occurrence. What central planners did not realize is that moving people from less productive activities, like agriculture, to more productive activities, such as industrial production, will only work up to a point. When the most able workers have been moved into factories, the economy as a whole will reach a productivity plateau. Much like Ion ultimately reaches a productivity plateau by manually working his two plots of land, so does Gheorghe in the tractor factory. No matter how hard he works, there simply is not enough time in the day to allow him to produce more than two tractors a week. As factory workers reached their productivity plateau and given the lack of ideas among central planners about what to do next, the economies of these centralized countries consequently grinded to a halt by the 1990s. 4 However, while centralized economies faced economic difficulties, developed countries continued to prosper despite also reaching the peak of their industrialization rate. This was a puzzle that many economists have tried to solve. They wanted to understand why while Gheorghe in Romania reached his productivity plateau, George in the US somehow managed to sustain productivity increases. The economist who eventually solved this puzzle, Bob Sollow, received a Nobel Prize for his contribution to economic growth theory. Productivity as a Factor of Exogenous Technological Change In 1956, Bob Sollow wrote a seminal piece on economic growth: “A Contribution to the Theory of Economic Growth”. The article draws on a large set of empirical Technological change data to explain why the US has managed to sustain healthy growth rates despite has driven continued having reached an industrialization peak. What Sollow found was that when economic growth in George reached his productivity plateau, the work that he was doing was developed countries, but transferred over to automated machines. If George was only able to produce two was in short supply in tractors per week, the automated machine could produce 20. At the same time, centrally planned George was moved to the sales department, where his responsibility became to economies sell the 20 tractors produced by the machines. His productivity increased thus 10-fold. Factory after factory in the US, and the rest of the developed world, followed a similar pattern, automating production processes to boost overall productivity. Sollow indicated that these US factories engaged in exogenous technological transfers. In laymen’s terms, this means that they bought innovations produced by research centers, universities, and knowledge incubators, and incorporated those in their production process. If in centralized countries decisions about the well-being of the economy If in centralized countries were taken by a hand-full of players, in the developed world decisions were decisions about the well- taken by a myriad of actors in the market – all striving to make things better and being of the economy at a lower cost. Companies had to stay profitable and competitive, and to do so were taken by a handful they experimented with different ways of boosting productivity. By 1989, of players, in the centralized economies had lacked functional markets for decades and proved developed world their level of competitiveness when they entered the global market in direct decisions were jointly competition with developed economies. At that point, almost all of them entered made by a myriad of into recession, some for more prolonged periods than others. actors in the market Gradually, these formerly centralized countries started to develop market economies, and some of the first initiatives were aimed at massive transfers of exogenous technological change. Thus, existing factories were updated with new technologies, or they were bought and redeveloped by foreign companies. Success stories, like Dacia in Romania, can be traced back to these technological and knowledge transfers. All in all, this renewal of the economic base has enabled significant productivity boosts in an environment where overall population numbers had already started to dip. In many respects, Romania and other developing countries throughout the world find themselves in this phase. Without having strong enough research and innovation centers, they rely on technological and knowledge transfers from abroad to help them boost productivity. The national economy as a whole benefits from these transfers, but at the same time a relationship of dependence arises. This is precisely where many have identified the limitations of Sollow’s growth theory. Relying on country B to produce the technologies and knowledge 5 that country A needs to grow, means that the pace of country A’s development is set externally. Thus, an economy, especially one that is overly-reliant on a limited number of economic sectors, may find itself stagnating, or even declining. To be truly resilient and foster sustainable growth, an economy has to generate its own endogenous technological change. Productivity as a Factor of Endogenous Technological Change Further on, the most important addition to growth theory was brought about by two articles, published by Paul Romer in 1986 and 1990. Romer explained that the only way to sustain long-term growth is for countries to generate endogenous technological change – i.e., the knowledge and innovation that allows countries to overcome a productivity plateau. He likens the economy to a kitchen, where ingredients (or resources in an economy) are combined to In order to generate generate a multitude of dishes (or goods and services). If we only cook the same technological change, a dish over and over again, people will lose their taste for it, and the ingredients country needs a large needed to make the dish may run out. An economy that only focuses on more enough pool of human cooking and does not try to make better recipes may face the same challenges as capital centralized economies faced in 1989. Furthermore, to be able to generate technological change, Paul Romer considers that a country needs a large enough pool of human capital: the people who think and do things differently or, rather, the people with the recipes. Those are the people who generate the knowledge and ideas that change the world – the Bill Gates, the Steve Jobs, and the Mark Zuckerbergs of the global economy. In terms of measuring human capital, Romer assumed that it is equivalent to the people with formal education, especially higher education. His theory enjoyed almost immediate success, and his ideas were quickly adopted by academicians, researchers, and policy-makers. One of the most notable refinements of Romer’s ideas is a series of articles and books published by Richard Florida. Rather than just taking human capital to mean people with higher education, Richard Florida went on to more accurately define and categorize “the creative class.” In Florida’s opinion, there are certain fields and specialists that are more prone to lend an economy dynamism and strength. Florida’s argument was written in a more approachable manner, and reached a much wider audience; as his ideas permeated the policy world, they spurred a competition between cities to attract the brightest and the most skilled workers. This has also lead to the emergence of a number of policies that specifically target fields considered to be particularly innovative. For example, many national and local authorities have sought to catalyze IT clusters (or new Silicon Valleys), knowledge incubators, and innovation hubs. While there is a frenzy to attract and retain certain groups of skilled While policy makers may individuals, there is little empirical evidence that such programs actually work in seek to nurture people’s practice. The truth is that experts are not quite sure what makes an individual be creativity, experts are more creative. The fact is that Bill Gates, Steve Jobs, and Mark Zuckerberg never not quite sure what finished college, but they all went on to create innovations that changed the makes an individual be world – spurring the IT boom in the 1990s, the iPod, iPad, and Facebook craze in more creative the new millennium. The company that was co-founded by Steve Jobs, Apple, is now worth more than double the Romanian GDP. The safe conclusion is that a country needs to be able to generate endogenous technological change to sustain long-term growth. This means it 6 needs as many of the people who can think, produce, and implement the innovations that enable this growth. Romania came out of communism with a highly educated population, and a very small illiteracy rate, yet it did not achieve the level of development one would expect from a country with so much human capital. This is the backdrop of the current report and future policies designed to promote the country’s sustainable, inclusive growth. An Economy is the Sum of Its People – All of Its People Basic education is an absolute condition for sustainable development, but it is Basic education is an not an absolute condition for generating endogenous technological change. A absolute condition for country with an educated population will usually be more productive than a sustainable country with lower education levels, but it will not necessarily be a hub development, but it is technological progress. The fact that a country has more people graduating from not an absolute condition universities, and the fact that more research centers are created, does not for generating necessarily mean that more innovations will be created. endogenous It is virtually impossible at this point to predict who from a group of people technological change will generate the innovations required to maintain productivity increases. What we know is that there is a higher chance for the creation of innovations if more people have access to power and opportunities – that is, the more open a society is, the higher the likelihood that its creative energies will produce a lasting impact. There are a number of enabling conditions to spur creativity and productivity, and these will be discussed later in more detail. However, it is important to note from the start that there are no panaceas. The process of innovation is not a smooth one. Innovations are usually anomalies, improbable The process of events that lead to a sudden change in the way things are done. As Nassim Taleb innovation is not a describes in The Black Swan, the innovations that changed the world were smooth one – unexpected, surprising events, which few people, if any, predicted. In fact, innovations are usually economic growth as a whole is not a smooth process (although it may look anomalies smooth when plotted on a graph), but rather a collection of disparate events that push the economy forward. The more such events an economy enables, the stronger and the more resilient it is likely to be. In a nutshell, an economy is the sum of its people, and of the ideas these people generate. To spur sustainable economic growth, it is important to create the conditions that enable everybody the possibility of creative, productive pursuit. 7 The Role of Innovation Jobs in Driving Growth in the New Economy The previous section concluded that endogenous technological change, or more commonly innovation, is the main source of long-term economic growth. It also argued that every person is a potential agent of innovation, and he/she should be encouraged to reach that potential. The reality is however that only a small, Only a small, albeit albeit growing share of people, do indeed innovate. As the next chapter will growing share of people, discuss, the role of this small pool of innovators is critical to a local/regional generate innovation economy, and the larger the pool is, the better off everybody is – including people that don’t have innovation jobs. Globalization and technological progress have turned many physical goods into cheap commodities, but have raised the economic return on human capital and innovation. For the first time in history, the factor that is scarce is not For the first time in physical capital, but creativity. The most important effect is that the importance history, the factor that is of traditional manufacturing in industrialized countries has been declining for 30 scarce is not physical years. In the US, UK, Germany, Italy, and Japan, for example, the share of capital, but creativity employment in manufacturing is now about half of what it used to be in 1980. By contrast, employment in the innovation sector has been increasing rapidly. This reflects a rapid rise in worldwide investment in innovation. During the 1980s and the early 1990s, global innovation was generally stable, with the The innovation sector worldwide number of patents at around 400,000 per year. But since 1991 global has been increasing investment in research and development has been increasing. The number of rapidly patents granted around the world exceeded 800,000 in 2010 and continues to reach new heights almost every year. R&D investment trends show similar increases. Ultimately, this translates in more and more jobs in innovation. Jobs in the innovation sector are not easily defined, because innovation takes many forms. They obviously include information technology, life sciences, Jobs in the innovation and advanced manufacturing – anything from robotics and pharmaceuticals to sector are not easily electronics and advanced medical devices. Companies such as Apple, IBM, and defined, because Cisco are, after all, manufacturers, and a large part of all private R&D comes from innovation takes many advanced manufacturing. A recent study shows that advanced manufacturing forms companies make up a small fraction of all manufacturing companies but are the ones that add the most value and have the highest productivity. But the innovation sector encompasses more than science and engineering. It includes parts of industries as diverse as industrial design, marketing, and even finance. “Knowledge industries” such as arts, culture, entertainment, healthcare, and even government also have a significant innovation potential. Basically, any job that generates new ideas and new products qualifies. There are entertainment innovators, environmental innovators, financial innovators, etc. What they all have in common is that they create things the world has never seen before. We tend to think of innovations as physical goods, but they can also be services – for example, new ways of reaching consumers or new ways of In the US, the number of spending free time. Today this is where the real money and job growth are. jobs in the Internet In the US, the number of jobs in the Internet sector has grown by 634 sector has grown by percent over the past decade, or more than two hundred times the growth rate 634% over the past of the overall number of jobs in the rest of the economy during the same period. decade The growth of the software sector is also impressive. U.S. jobs in software have 8 grown by 562 percent over the past two decades —not as explosive as the Internet sector, but still thirty-three times greater than the rest of the labor market. With an impressive 300 percent growth in employment over twenty 1 years, life science research is another pillar of the innovation sector. According to the US Bureau of Labor Statistics, biomedical engineers are at the top of the list of the twenty occupations predicted to grow the most over the next ten years, with a predicted growth rate of 72 percent. Medical scientists, biochemists, and biophysicists all rank near the top. In the end, it does not matter whether workers make something physical, like more efficient lithium batteries for electric cars, or something immaterial, like a better search engine. What really matters is that workers produce goods or services that are innovative and unique, and not easily reproduced. This is the only way to generate jobs that pay well in the face of stiff global competition. Given these trends, it should not be surprising to learn that cities and regions Cities and regions that all over the world that have been successful at attracting a dynamic innovation have been successful at sector are the ones who have experienced the strongest growth in salaries and attracting a dynamic employment. This trend is most evident in the United States. Over the past three innovation sector are the decades, American cities have had very different economic performances. At one ones who have extreme there are America’s innovation hubs – cities like San Francisco, Seattle, experienced the Raleigh-Durham, Austin, Boston, and Washington DC – with a thriving strongest growth in innovation-driven economy and a labor force among the most creative and best salaries and employment paid on the planet. At the other extreme are cities once dominated by traditional manufacturing – Detroit, Flint, Cleveland – which now have shrinking labor force and salaries. Historically, there have always been prosperous communities and struggling communities. But the difference was small until the 1980’s and has been growing dramatically since then. In 1980, the salary of a college educated worker in Austin was lower than in Flint. Today it is 45 percent higher in Austin and the gap keeps expanding every year. The gap for workers with a high school degree is a staggering 70 percent by some estimates. It is not that workers in Austin have a higher IQ than those in Flint, or work harder. The ecosystem that surrounds them is different. The mounting economic divide between American communities is not an accident, but reflects a structural change in the global economy. Sixty years ago, the best predictor of a community’s economic success was Today, the best physical capital. Workers in Flint and Detroit were among the most productive – predictors of a and best paid – in the world because they had access to the most advanced community’s economic machines. With the shift from traditional manufacturing to innovation and success are human knowledge, this has changed. Today, the best predictor of a community’s capital and innovation economic success is human capital and innovation. A growing body of economic research suggests that a company’s success depends on more than just the quality of its workers – it also depends on the entire ecosystem that surrounds it, especially on the share of workers with a college degree in the community. Over the past three decades, cities with many college-educated workers and innovative employers started attracting more of the same, and cities with a less educated workforce and less innovative 1 This figure only includes jobs in private-sector research and development—a biotech, for example – and does not take into account researchers who work at universities or government labs. 9 employers started losing ground. It is a tipping-point dynamic: once a city attracts some innovative workers and companies, its ecosystem changes in ways that make it even more attractive to other innovative workers and companies. This self-reinforcing trend inevitably magnifies the differences between winners and losers among communities. The share of college graduates has increased by more than 35 percent in Austin, Boston, and San Francisco since 1980, but it has declined in Flint. The same difference emerges for R&D expenditures, venture capital investment, and patent per capita. These dynamics are not limited to the U.S. They are becoming evident in parts of Europe, Japan, and many developing countries. In India, for example, the Bangalore region has an innovation-driven dynamic economy where productivity and salaries are growing faster than in the Silicon Valley, while the more “backward” state of Bihar has output and average income that remain low, even for developing country standards. In China, Shanghai has reached a per capita income close to that of a rich nation. Its students outperform American and European colleagues in standardized tests by a wide margin. Its public infrastructure is better than that of many American cities. But agricultural communities in western China have made much less progress. The regional differences within India and China are growing, even if the difference between India and China as a whole, and richer countries, has shrunk. Innovation as an Engine of Economic Growth Overall, it is fair to say that innovation has become a new engine of prosperity for innovation hubs throughout the world. It is important to clarify what this Innovation is rarely the means exactly. Even in cities that have attracted a dynamic innovation sector, largest sector of an innovation is not and will never be the largest sector of the economy. Estimates economy – in the US, of the total number of innovation jobs differ, depending on how exactly only around 10% of jobs innovation is defined, but a reasonable estimate is that about 10 percent of all belong to the innovation jobs in the United States belong to the innovation sector. Even in Silicon Valley, sector innovation jobs only represent a minority of jobs. Put simply, the average worker will never be employed by Google or Apple. Although innovation will never employ the majority of workers in an advanced economy, it is the driver of economic growth across many sectors. To see why, one needs to better understand the composition of a modern economy labor market. The labor market of a modern society can be divided in two broad sectors. On the one hand, there is what economists call the “traded” sector (or the export sector). This sector encompasses jobs in innovation, traditional manufacturing, Although innovation will agriculture, extractive industries, and some services – parts of finance, not employ the majority advertising, and publishing. These jobs produce a good or service that is mostly of workers in an sold outside the region and therefore needs to be competitive in the national advanced economy, it is and global marketplace. For example, automobiles made in Munich are mostly the driver of economic sold to customers who do not reside in Munich. Oranges grown in Sicily are growth across many mostly exported to other Italian and European regions. Google, too, provides a sectors service (i.e., Web search) that is mainly used outside its headquarters in Mountain View, California. The traded sector accounts for a minority of jobs. In most countries of the world, it accounts for only a third of all jobs. Although this share is generally stable, its composition is undergoing profound changes in most 10 developed countries, with traditional manufacturing declining and innovation increasing. The second sector of a modern economy’s labor market is twice as large and includes local services. It employs people who work as waiters, plumbers, doctors, nurses, teachers, real estate agents, hairdressers, and carpenters. The goods and services in this sector are locally produced and locally consumed and therefore do not face global competition. This sector exists only to serve the needs of a region’s residents. Economists call this the non -traded sector. Such jobs are “non-tradable” because they cannot be exported outside the region where they are produced: you need to consume them where you produce them. In total, two-thirds of all jobs in European countries are in the local service sector and that number has been generally stable for the past fifty years. The US, Canada, Japan, and most other industrialized nations have a similar percentage In a typical European of local service jobs. country, about a third of The composition of the local service sector is generally similar across all workers are employed countries. In a typical European country, about a third of all workers are by the government or in employed by the government or in the education and health services sectors, the education and health which include teachers, doctors, and nurses. Another quarter of workers are in sectors; another 25% retail, leisure, and hospitality, which includes people working in stores, work in retail, leisure, restaurants, movie theaters, and hotels. An additional 14 percent are employed and hospitality; and an in professional and business services, which include employees of law, additional 14% are architecture, and management firms. The key point is that although jobs in local employed in professional services constitute the vast majority of jobs, they are the effect, not the cause, of and business services economic growth. (e.g., employees of law, A modern economy’s prosperity mainly depends on the vitality of its traded architecture, and sector. Fundamentally, there are two reasons for this. The first is that management firms) productivity in local services tends not to change much over time. It takes the same amount of labor to cut your hair, wait on a table, drive a bus, paint a house, fix a leaking pipe, babysit a child, or teach math as it did fifty years ago. Although some parts of the non-traded sector experience productivity increases (improvements in medical technology, for example, have made doctors and nurses more productive), the more typical case is one of limited productivity increases. By contrast, productivity in innovation and manufacturing increases steadily every year, thanks to technological progress. Today it takes 75 percent fewer worker hours than it did in 1950 to make a car. Labor productivity in the high-tech sector grows even faster, thanks to a constant stream of innovation. This productivity difference between traded- and non-traded-sector jobs matters because the only way to raise workers’ standard of living is to raise their productivity. Essentially, in the long run, a society cannot experience salary growth without significant productivity growth. Notably, higher productivity of workers in the traded sector means higher salaries not just for the workers in that sector but also for workers in other sectors, especially those with similar skills. Historically, when manufacturing wages inched up, other sectors had to adjust to remain competitive. For example, builders needed to raise the wages of carpenters, roofers, and plumbers to keep them from taking a manufacturing job, even though productivity in construction was flat. So even if the manufacturing sector accounted for a minority of the workforce, for decades it was an engine strong enough to lift the salaries of all workers, including those who worked in services. 11 Today the innovation sector is the key driver of productivity increases. Thus, what happens to the innovation sector determines the salary of all workers, whether they work in innovation or not. The Multiplier Effect There is a second reason that innovation is the driver of employment and wage growth. While the first reason reflects forces that are national in scope, this second reason reflects forces that are local but equally important. Innovative Innovative industries industries bring “good jobs” and high salaries to the communities where they bring “good jobs” and cluster, and their impact on the local economy is much deeper than their direct high salaries to the effect. Attracting a scientist or a software engineer to a city triggers a multiplier communities where they effect, increasing employment and salaries for those who provide local services. cluster Every time a company generates jobs in the innovation sector, it also indirectly creates additional jobs in the non-traded sector in the same city. This in turn means more jobs for cabdrivers, housekeepers, carpenters, nannies, hairstylists, doctors, lawyers, dog walkers, and therapists. These local service workers cluster around high-tech workers, supporting their personal needs. In essence, from the point of view of a city, an innovation job is more than a job. With only a fraction of the jobs, the innovation sector generates a With only a fraction of disproportionate number of additional local jobs and therefore profoundly the jobs, the innovation shapes the local economy. What is remarkable is that this indirect effect on the sector generates a local economy is much larger than the direct effect. Recent research, based on an disproportionate number analysis of 11 million American workers in 320 metropolitan areas, shows that of additional local jobs for each new high-tech job in a metropolitan area, five additional local jobs are and therefore profoundly 2 created outside of high-tech in the long run . For each new software designer shapes the local hired at Twitter in San Francisco, for example, there are five new job openings economy (i.e., has a for service workers in the community. high multiplier effect) The five jobs created through the multiplier effect benefit a diverse set of workers. Two of the jobs created by the multiplier effect are professional jobs – doctors, lawyers, nurses, architects, teachers, etc. – while the other three benefit workers in nonprofessional occupations (e.g., waiters, store clerks, carpenters, janitors, etc.). While this research was based on American data, there is no obvious reason to expect that similar dynamics would not apply to the European context. Thus, a dynamic innovation sector benefits the local economy directly, as it generates well-paid jobs, and even more indirectly, as it creates additional jobs in the non-traded sector. While innovation will never be responsible for the majority of jobs in industrialized countries, it has a disproportionate effect on the economy of their cities. This is the main reason why cities that have attracted dynamic innovation clusters are prospering. Quantitatively, the magnitude of the multiplier effect is remarkably large. Take Apple, for example. It employs 33,000 workers in Cupertino. Through the multiplier effect, however, the company generates more than 171,000 additional service jobs in the metropolitan area, of which 102,000 are unskilled and 69,000 are skilled. Incredibly, this means that the main effect of Appl e on the region’s 2 These estimates are from: Moretti, Enrico. 2010. “Local Multipliers.” American Economic Review 100, no. 2 (May 2010): 373–77; and Moretti, Enrico. 2013. “The New Geography of Jobs”, HMH, 12 employment is on jobs outside of high tech. In essence, even in Silicon Valley, high-tech jobs are the cause of local prosperity, and the doctors, lawyers, There is no inherent roofers, and teachers are the effect. contradiction between The multiplier effect is a remarkable feature of the labor market. It suggests the interests of high- and that as far as job creation is concerned, there is no inherent contradiction low-income workers – between the interests of high-income workers and those of low-income workers. what is good for one Indeed, the key lesson of the multiplier effect is that the economy is a tightly group tends to be good interconnected system, and what is good for one group typically tends to be for the other good for another. Why is the Multiplier So Large? All parts of the traded sector have a multiplier effect, but innovation has the largest. A recent analysis indicates that attracting one job in traditional manufacturing generates 1.6 additional local service jobs – less than a third of 3 the corresponding figure for high tech . Take a city like Seattle. Although a manufacturing company such as Boeing has twice as many jobs in Seattle as Microsoft does, it ultimately creates fewer local jobs. Local governments This finding has important implications for regional economic development interested in policies. Local governments interested in employment creation should focus their employment creation energies in attracting employers in the innovation sector. Indeed, the best way should focus their for a city or state to generate jobs for less skilled workers is to attract high-tech energies in attracting companies that hire highly skilled ones. How can the high-tech multiplier effect employment in the be so much larger than that of other industries? What is so special about high innovation sector tech? There are three reasons. First, high-tech workers are very well paid, with salaries and benefits typically considerably above the average. This means they consume more local services than other workers and therefore create more local jobs. With more disposable income, these employees go to restaurants, visit Innovation jobs have a hairdressers, and see therapists more often. According to a company report, the multiplier effect that is annual compensation of the average employee at Microsoft is $170,000. This is much larger than that of an incredibly high figure, especially if you consider that it takes into account other industries everyone in the company, including secretaries and janitors. After subtracting what an employee spends on nonlocal goods, housing, taxes, and savings, this leaves about $80,000 available to be spent on local services. This amount alone can support two local nonprofessional jobs at prevailing wages. The second reason for the large high-tech multiplier effect is that in addition to employees’ personal consumption, high -tech companies’ operations require many local business services, and this means more graphic designers, marketers, business consultants, and security guards. Innovative companies tend to consume more local services than manufacturing companies. One reason is that the supply chain of manufacturing companies tends to be more global and less local. The final reason for the large multiplier effect is that high-tech firms tend to be located near each other. Bringing one high-tech company to a city eventually results in having more high-tech companies locate there, as dense high-tech clusters make high-tech firms more innovative and more successful. This clustering effect also exists in manufacturing, but it is particularly strong in high 3 Moretti, “Local Multipliers.”American Economic Review 100, no. 2 (May 2010): 373–77. 13 tech. The end result is the creation of more local service jobs and an even larger multiplier effect. Of course, it has to be noted here that not all cities can become innovation hubs over-night, and there are many examples of would-be Silicon Valley’s that have Not all cities can become invested large sums of money hoping to trigger the growth of innovation sectors, innovation hubs with little to show for in the end. Ultimately, the best that local and regional overnight authorities can do is to create an environment that allows as many people to become creative and innovate – whether that is in the respective locality/region or somewhere else. From the analysis above it is obvious though that a dynamic innovation While innovation will sector benefits the local economy directly, as it generates well-paid jobs, and never be responsible for even more indirectly, as it creates additional jobs in the non-traded sector. While the majority of jobs in innovation will never be responsible for the majority of jobs in industrialized industrialized countries, countries, it has a disproportionate effect on the economy of their cities. This is it has a disproportionate the main reason why cities that have attracted dynamic innovation clusters are effect on the economy of prospering. their cities This finding has important implications for regional economic development policies. Traditional manufacturing is unlikely to return to be the engine of employment and salary growth that it used to be. Local government interested in employment creation should focus their energies in attracting employers in the innovation sector. Indeed, one of the best ways for a city or state to generate jobs for less skilled workers is to attract high-tech companies that hire highly skilled ones. 14 Enabling Productivity and Competitiveness For a long time, economic actors and policy makers have tried to engineer productivity – most of the time with questionable results. The truth is that productivity cannot really be engineered; it can only be enabled and encouraged. Productivity cannot If a country would have found a way to engineer productivity, it would have really be engineered found the Holy Grail of economics, and would have most likely become the World’s next superpower. There are, however, some conditions that can enable productivity and these will be discussed in more detail below. Good Institutions In a historical treatise of the ascent of civilizations, Niall Ferguson (2011) suggests that after colonization the US developed quicker than the rest of the Americas because it had better institutions in place. Thus, while most systems that were created in Latin America were highly centralized, tightly controlled by a monarch, in the US a number of freedoms were offered to people early on. People could own land, the structures of power were decentralized (enabling communities a higher degree of self-reliance), and a large number of people were granted access to power. Max Weber famously attributes the emergence of capitalism to another institution – the Protestant Church, which preached and encouraged hard work, diligence, and self-reliance. Hernando de Soto, in another popular treatise, indicates that many developing countries are stuck in a development trap because they lack many of the institutions developed countries have. Most Good institutions, importantly, de Soto identifies the lack of property rights and dynamic land such as well-functioning markets as one of the main culprit for slow development. He argues that if it is administrative systems, not easy for people to own, trade, and mortgage land and properties, it will be education, healthcare, much harder for them to become wealth producing economic actors. People who property rights, etc., are own a piece of land have stronger roots locally, they have a source of wealth that a key ingredient to they can use for investments (e.g., taking out a credit and offering the land as productivity growth guarantee), and they are more likely to invest resources in the development of that piece of land. For many developing countries, the construction sector is an economic engine in their incipient development phase. In Romania too, the construction sector has been one of the economic engines fueling the growth of the past decade. Between 1997 and 2009, the share of the construction sector in the national economy grew from around 5% to around 10%. Good institutions are required in a myriad of other fields to enable a more creative and productive populace. Most importantly, a good education system is tantamount to development. Study after study has shown that countries that have a more educated population are on the whole more developed than countries with poor education. Of course, the benefits of education go well beyond economic considerations. Other important institutions are those that provide health care, access to justice, and basic public services such as water, sanitation, and transport. In essence, the best institutions are those that provide key public services that would be cumbersome and expensive for people to provide individually, while at the same time protecting people’s basic freedoms. In other words, good institutions should allow as many people as possible, preferably all of them, 15 access to power and opportunities. If you have to worry about securing water every day, you will not have much time to dream and realize your dreams. As societies become more complex, so do institutions. Nobel Prize winner Douglas North indicates that strong institutions have always been at the Strong institutions foundation of successful societies. Whether these institutions help protect have always been at the groups from outside dangers, or whether they create the conditions that enable foundation of successful people to focus on the things they care most about, they are critical for economic societies growth. Good institutions provide security, shelter, basic services like water and sanitation, they protect property and human rights, and they provide education. Good institutions balance market forces, enabling positive market externalities and addressing negative market externalities. Access to Opportunities Having good institutions is just a first step to creating a high productivity Another prerequisite for environment. A second pre-requisite is to enable access to opportunities. For productivity growth is people this translates into access to good education (especially higher access to education), access to good jobs, and access to other people. For firms, this opportunities (jobs, means access to markets, access to large enough labor pools, and access to other markets, education, firms (e.g., suppliers and distributors). healthcare, culture, The World Development Report 2009: Reshaping Economic Geography entertainment, etc.) indicates that development is inherently unbalanced, with some regions developing faster than others. In almost every developing country, people and firms tend to concentrate in a number of cities, and these cities become in turn In most countries, large economic engines. For a long time, policy makers have tried to correct these and dynamic cities imbalances, by targeting public investments in lagging areas, and by trying to re- offer the widest range direct private capital from leading to lagging areas. As evidence shows, such of opportunities programs rarely achieve expected results. Moreover, as the WDR ’09 indicates, trying to balance out development can have quite the opposite effect. “When you want to win a competition, you send your best runners to the “When you want to win a race.” If a country has a number of cities that are doing particularly well, these competition, you send cities should be encouraged to grow further, rather than trying to limit growth your best runners to the there and instead distribute it evenly across the whole country. As the race” performance of developed countries shows, growth in leading areas usually spills-over to the rest of the country – first to immediate surroundings, and then further out. These leading areas are usually the places with most opportunities – higher education, jobs, people, and firms. As such, policy makers have to enable access to these places. For people that already live in a leading area, access to The easier it is for opportunities may be enabled by good public transportation, connecting people to access peripheral poorer areas to the richer central business district. For people living in opportunities, the more a lagging region, access to opportunities may mean good road, rail, and air productive they are likely infrastructure, connecting their region to leading areas (e.g., the primate city). to become, and the For the citizenry of a country as a whole, access to opportunities regionally may better off will the translate in the ease of crossing national borders. economy be as a whole The easier it is for people to access opportunities, the more productive they are likely to be, and the better off will the economy be as a whole. At first it may seem counterintuitive for policy makers to create enabling conditions for migration and emigration, but in the long-run this is likely to pay off – at least that is what the economic history of developed countries teaches us. 16 Good Quality of Life As countries become developed, the unevenness that they witness in their As countries become developing phase (i.e., some places growing faster than others) tends to even out developed, the with time. In a nutshell this means that people enjoy a comparable level of unevenness they witness welfare in every region of the country. This also means that people have a in their developing phase greater menu of choices when deciding where to move. tends to even out In developing countries, income is a strong magnet. People will generally migrate, or emigrate, to places where they can secure higher wages. In Romania, economic engines like București, Timișoara, Cluj-Napoca, or Sibiu, have been the In developed countries main “people magnets.” In a developed country, by contrast, a person could and areas, people make the same salary for a comparable cost of living in a wide variety of places. consider more than just The decision on which of these places to pick often hinges of the quality of life a salary when deciding these places offer. where to move – quality There is a burgeoning literature (e.g., Richard Florida’s “Who’s Your City” or of life is a critical factor Enrico Moretti’s “The New Geography of Jobs”) that shows that, when choosing where to live, people vote with their feet – i.e., they move to the places they like and leave the places they do not enjoy. If a person has to choose between two cities with comparable job opportunities, and comparable costs of livings, he/she is likely to go to the place that offers a better quality of life. Quality of life is a concept that should not be mistaken for standard of living. Quality of life should While the latter is more easily measurable according to pure socio-economic not be mistaken for indicators (such as wage levels, access to basic public utility services, access to standard of living primary care, etc.), quality of life also has a subjective dimension – i.e., the individual’s perception of the factors that are important to his/her well-being, such as: quality of the environment, leisure opportunities, entertainment opportunities, etc. Still, quality of life cannot be achieved unless the individual benefits from minimum universally accepted standards of living in all key areas (e.g., access to basic utilities, primary education, healthcare, social care, public transportation, public safety, etc.). Accepting that development begins where these minimum living standards are met is a fundamental prerequisite for a strategic orientation of investments at county/regional/local level. Consequently, in lagging areas, the focus should primarily be on ensuring minimal accepted standards. In countries that are already developed, have reached their urbanization peak (i.e., they no longer urbanize, or they do so much more slowly), and have slow population growth, migration usually takes place between cities. For people who are most mobile (those who are considered to be more productive and who could easily find jobs in a myriad of places), the decision to move to one place or another is typically made based on the quality of life that these places offer. Issues such as good public transportation, green spaces, culture and art, hip neighborhoods, farmer’s markets, etc., become key criteria for choosing one city As people become more over another. Local authorities have to invest therefore in creating the conditions mobile, they are also for attracting as many people as possible. likely to become more Even for a country that is still developing, like Romania, it is important to selective focus on quality of life issues, while acknowledging the importance of setting up minimum living standards in some areas recognized and accepted as key by both institutions and people. As people become more mobile, they are also likely to become more selective – the more mobile, the more selective. 17 The Dimensions of Development Density – Why Economic Mass Matters Following the World Bank’s methodology in the World Development Report 2009: Reshaping Economic Geography, density can be defined as the economic Density can be defined output produced per unit of land area. In some instances, the concept of density as the economic output follows the more traditional understanding of the term, namely the geographic produced per unit of land concentration of population; in fact, this is often tied to the concentration of area economic resources, also called economic mass. As such, the two related meanings of density – as economic output and as population per unit of space – are sometimes used interchangeably. Measures of density are non-uniform across countries and often unreliable, depending on the concept’s definition and agreed statistical characteristics of urban versus rural areas. To ensure a fair and consistent approach, this analysis relies on the agglomeration index to measure a country’s urban density, adapting the framework of the 2009 World Development Report. Specifically, an urban area satisfies the following two conditions: 1. Population density of at least 150 people per square kilometer; 2. Access to a “sizable settlement” within 60 minutes travel time, whereby sizable settlement has a population of at least 50,000 people. Upon setting these thresholds, calculating the agglomeration index requires several additional steps. First, the location of sizable settlements is mapped out based on the agreed cut-off (i.e., 50,000 inhabitants). Second, surrounding areas within a 1-hour travel distance radius are determined for each sizable settlement. Third, population density grids are created to help narrow down the areas that satisfy the aforementioned conditions, including a minimum threshold of 150 people per square kilometer. The aggregate result of grid cell populations is equivalent to the urban population of a particular country and that number divided by total population is analogous to a country’s agglomeration index. In general, density is a fundamental characteristic of urban settlements and development goes hand in hand with increased urbanization. In other words, no Density is a fundamental country can sustain growth in the long term without allowing for a growing characteristic of urban concentration of economic capital and human resources in certain locations. The settlements and reason for this evolution is that greater density generates a number of benefits development goes hand such as a more diverse pool of capital to sustain supply and demand. Larger cities in hand with increased will rely on a bigger workforce to support the local economy and, as a result, will urbanization typically grow at a much faster pace than the rest of the country. This is related to the market forces of agglomeration and scale economies, which this report further explores in a later section. In the early stages of development, there is increased divergence between growing (leading) and lagging (stagnating or shrinking) local economies. This In the early stages of evolution is the expected consequence of some primary cities growing rapidly development, there is and accumulating more economic density and higher shares of a country’s increased divergence economic output. As the figure below suggests, this process eventually slows between leading and down when the benefits of greater agglomeration start to level off. At that point, lagging areas diseconomies of scale – when the costs of further concentration (e.g., pollution, 18 congestion, etc.) outweigh the benefits – trigger a spillover of resources to adjacent areas. As such, uneven development eventually generates benefits for lagging areas as well. Figure 3. City Population as Share of National Population in Selected Cities Source: World Development Report 2009: Reshaping Economic Geography The essential dynamics of urbanization generate short-term divergence and long- term convergence in living standards. In the long run, as benefits from The essential dynamics agglomeration reach a tipping point in leading cities and regions, they begin of urbanization generate accruing for lagging regions, provided they have a sound institutional foundation short-term divergence to support economic growth. This includes, among others, access to public utility and long-term services, proper schools and hospitals, social services, land rights, functioning convergence in living housing markets, etc. While most developed countries have witnessed uneven standards development in their early developing stages, they have managed, to a large extent, to ensure similar living standards across regions. This framework has critical policy and investment implications for local and national decision-makers. Solutions for a rapidly growing city will differ from those recommended for lagging areas or for cities that have reached the optimal level of agglomeration. Using this lens, this report assesses the Romanian context to assist policy makers within the MRDPA and beyond with identifying areas at different stages of development and making a set of recommendations to enable the country’s rapid, effective growth, adapted to the particular features of the level of intervention (local, regional, and national), while taking into consideration the proven aforementioned models of economic development. In Romania, official statistics suggest that the country’s urbanization rate remains around 55%, one of the lowest in the European Union. This has changed In Romania the country’s little over the past two decades, suggesting that Romania has not urbanized urbanization rate under free market conditions, a pattern at odds with what has happened in the remains around 55% past in other countries around the world (e.g., the United States, Switzerland, Belgium, etc.). But aforementioned statistics are based on population and rely on relatively inflexible definitions of urban and rural areas, thereby requiring some further analysis. Later sections describe such issues in greater depth. A brief historical outlook helps shed light on recent trends in Romania’s urbanization. For much of the period between 1950 and 1990, Romania was a centrally planned economy. As the figure below highlights, forced urbanization brought people from rural areas close to state-owned factories, creating rapid 19 agglomeration around certain industrial centers. Essentially, by 1990, Eastern- European centralized economies had significantly higher proportions of people living in urban areas that what one would predict just based on their respective level of economic development (i.e., GDP/capita). As Eastern European countries switched to market-based, competitive economies, many of them – Romania included – witnessed urban shrinkage and reverse migration away from the former industrial centers that had gone into bankruptcy. Figure 4. Centralized Economies underwent Forced Urbanization Source: Buckley, Robert M., and Federico Mini. 2000. “From Commisars to Mayors: Cities in the Transition Economies” Later on, as Romania’s economy started growing again after a period of major structural adjustments, renewed concentration of people and resources occurred in certain areas. Interestingly, data reveal that Romania has been suburbanizing Data reveal that in recent years: while the country’s total population is smaller by 4 million people Romania has been compared to 1990, suburbs around major cities have gained around 300,000 suburbanizing in inhabitants over that period, with some of them showing particularly strong recent years growth. Official data, including the 55% figure cited above, often include suburbs under rural areas, for statistical purposes, missing the recent suburbanization trends. Furthermore, while the clustering of the population is not immediately evident, the concentration of wealth and economic mass is obvious. Analyses Most de-facto suburbs show that the country’s wealth generation comes from a few major cities spread are still classified as across the country. București is responsible for roughly a quarter of Romania’s rural areas GDP, a striking increase compared to 1995, when the capital city generated only 15% of Romania’s GDP. When looking at the revenues generated by private 20 4 companies, Bucureşti-Ilfov accounts for almost 40% of the total, while the 10 In Romania, as in most largest cities generate over half (i.e., 53%) of total firm revenues in the country. countries, wealth State budget dependency of local communities is also an indicator of the generation comes from a potential of local economic growth/spillover to lagging areas. A small degree of few leading areas dependency on central budget transfers, correlated with a high proportion of self-generated revenues (from local tax collection) in a locality’s budget , are signs Leading areas tend to of a vivid economic development, with a large basis of taxpayers (citizens and have a higher share of firms). Currently, the average level of independency from state budget transfers self-generated of Romanian counties is 39%, while only 5 counties (apart from București) have revenues and a lower managed to pass the 50% independency threshold in 2012: Ilfov, with 65% dependence on central proportion of self-generated income, Brasov – 58%, Cluj – 57%, Sibiu – 57%, budget transfers Constanța – 56%, Prahova – 52%, Timiș – 50%. Counties lagging way behind the average are Botoșani – 23%, Vaslui and Suceava – 26%, and Mehedinți and Sălaj – 27%. Figure 5. Level of dependency on state budget transfers of Romanian municipalities, towns and communes Source: Institute for Public Policy, 2013 – List of localities that cannot cover their operational expenses from their own revenues (http://www.ipp.ro/pagini/ipp-cere- guvernului-s259-opreasc259.php) When correlating this indicator with population numbers (i.e., the capacity of localities to generate own revenues per capita) - the situation is substantively similar to the one described above. The highest levels of per capita own revenues 4 Firm revenues also include figures for companies that are registered in Bucureşti, but have their production facilities located elsewhere. 21 in 2012 were registered in Ilfov (2.264 lei/inhabitant), Timi ș (1.323 RON/inhabitant), Cluj (1.315 RON/inhabitant), Sibiu (1.275 RON/inhabitant), Brașov (1.252 RON/inhabitant). At the opposite end are Vaslui (406 RON/inhabitant), Botoșani (419 RON/inhabitant), and Neamț (479 RON/inhabitant). Figure 6. Romania's Recent Suburbanization Data Source: National Institute of Statistics 22 Figure 7. Firm Revenues by District in Romania, in 2011 Data Source: National Institute of Statistics This evidence confirms recent trends in the concentration of resources in The WDR’09 Romania primarily around a few major cities and their suburbs. In fact, as agglomeration index calculated by the 2009 World Development Report, Romania’s agglomeration for Romania was 65.2%, index was 65.2% for the year 2000, notably higher than other figures that do not indicating more consider suburbs as part of urban areas, despite their proximity to growing pronounced urbanization centers of economic activity. dynamics than the The key insight so far is that Romania conforms to the general rule that current methodologies development is most often uneven. As county-level data suggests, development as GDP per capita is correlated with urbanization and the concentration of resources in a few economic areas in Romania. To sustain economic growth, Economic growth in policy makers should embrace and encourage this process, resisting temptations Romania is driven by the to intervene in order to balance growth across leading and lagging regions. Over largest urban the long run, the latter will catch up on their own in terms of living standards and agglomerations even quality of life, provided they have adequate institutional structures in place. The section on agglomeration and economies of scale explores further the implications of these observed density trends in Romania, describing how market forces influence the country’s future urbanization and suburbanization patterns. 23 Figure 8. The link between urbanization and level of development across Romanian counties (in 2010) Sources: National Institute of Statistics; Eurostat Distance – Why Proximity to Markets Matters Distance refers to the ease or difficulty of transporting people, goods, services, Distance refers to the capital, information, and ideas over space. The current report focuses on ease or difficulty of distance as an economic concept, which is related to – but not restricted to – the transporting people, physical, straight-line distance between two points. When considering the goods, services, capital, movement of goods and services, economic distance takes into account time and information, and ideas monetary costs, which depend on available infrastructure and transport options. over space With respect to the migration of people, economic distance includes, in addition to the factors relevant for transporting goods and services, the cost of adapting to a new environment, which may include new taxes, language barriers, etc. As noted in the 2009 World Development Report, economic distance – whether for people, goods, or services – is closely tied to ease of access to markets. A fundamental premise of this report is that the easier it is for people to The easier it is for access places with high economic density and better opportunities, the more people to access places productive they are likely to be. Similarly, areas that are well connected to the with high economic flow of goods and services are more likely to sustain economic growth. A related density, the more concept is the idea of gravitational pull, which refers to the fact that cities with a productive they are likely larger economic mass exert a greater attraction for people, goods, services, and to become ideas. This is what helps explain trends in urbanization and the concentration of resources around growing economic centers. At a policy level, decision-makers in developing countries can sustain growth by implementing solutions that enhance 24 cities’ gravitational pull by removing hurdles in its path (e.g., by improving road and railroad infrastructure, reducing regulatory barriers against migration, etc.). Such policy solutions, coupled with appropriate investments in minimum living standards, may shift temporal trends of migration: in some cases and for defined areas of developments, migration may be replaced with commuting from the place of residence to the workplace. Because distance does matter for development, particularly at the country Some regions will enjoy level, some regions will enjoy an inherent advantage over others if they are an inherent geographically closer to bigger, more vibrant markets. Along with dynamics advantage over others around density, distance will often contribute to uneven development. Still, as if they are geographically the previous section argues, divergence in economic growth across regions is to closer to bigger, more be expected during an economy’s early growth stages. The economic history of vibrant markets developed countries indicates that some places have to grow first before others can grow too, so policy makers should not try to force balanced development. In the words of Indermit Gill, Chief Economist for the World Bank, “if you want to win a competition, you send your best runners to the race”. Conversely, governments that target disproportionate resources at lagging areas, regardless those regions’ economic needs and capabilities, may contribute to inefficient spending of scarce public funds. As noted before, the gap between the resources in leading and lagging areas Governments that widens initially. Over time, however, even as differences in cities’ economic mass disproportionately target become sharper, living standards across leading and lagging regions level off and resources at lagging people begin to have similar purchasing power and access to basic services all areas, regardless of across the country. The figure below makes this exact point with respect to the those regions’ economic development of the United States: with the urbanization process largely needs and capabilities, complete, economic mass is now concentrated in a number of coastal cities, may contribute to which are denser and better positioned in terms of their distance relative to each inefficient spending of other and to main trade routes inside and outside the U.S. Still, people across scarce public funds America enjoy similar living standards regardless of where they are located. Figure 9. Economic Production per Square Mile in the US shows patterns of concentration Source: World Development Report (2009) 25 Romania’s development to date fits the principles described above. High growth, leading regions include: first and foremost, București-Ilfov, with its large economic mass and gravitational pull; second, counties in the Western region, which are closer to EU markets and include major trade flows (e.g., Timiș and Cluj); third – counties in the center of the country, with a dynamic industrial base (e.g., Brașov, Sibiu, and Argeș); and fourth, Constanţa, which benefits from the largest port on the Black Sea and the fourth largest in Europe. In particular, the EU’s impact on Romania’s economic development is striking: as Romania joined the common market, the country’s trade with EU members grew significantly to the point where 70% of Romanian exports pass through to the West. Figure 10. GDP per Capita across Counties in Romania, 2009 Data Source: EuroStat As the map below highlights, data on GDP/capita across different EU counties show that there is a “development bridge” between București, as the city with largest economic mass in Romania, and the economic gravitational center of The most developed counties in Romania Europe – from the United Kingdom through France, Benelux, Germany, and Italy. form a “development The development of these counties has benefited both from the proximity to the bridge” between rich markets in the West, and from the proximity to București. Another factor București and the rich that has contributed to their development has been their overall level of markets in Western urbanization, and the presence of large cities (e.g., Cluj-Napoca or Timișoara) Europe within their administrative boundaries. 26 Figure 11. 2007 data on Regional GDP per Capita in the EU shows the development bridge connecting Romania to the economic heart of Europe Sources: EUROSTAT; © EuroGeographics for the administrative boundaries At the other end of the spectrum, lagging areas in Romania tend to be located in the south and east of the country. Again, basic economic geography teaches that Lagging areas in this is no coincidence. While the physical distance to economic centers in Romania tend to be Western Romania and further beyond, in Western Europe, may not be that much located in the south and greater compared to parts of Transylvania, the economic distance takes into east of the country – account the time that people, goods, and services require to cross the Carpathian beyond the Carpathian Mountains in order to get to EU markets. There are currently no major highways Mountains that facilitate these flows. Existing roads tend to have one lane for traffic in each direction, with speed limitations and heavy congestion during peak times. At the same time, in the absence of a concerted economic policy in this respect, counties on the eastern border have not engaged in significant economic exchanges with non-EU Member States like Moldova and the Ukraine. With respect to leading economic centers inside Romania, București has pulled significantly ahead of others. In 1995, most counties in Romania had a GDP per capita higher than 50% of București’s GDP. By 2009, only two counties achieved that performance: Timiş and Cluj. The gap between București and every other county in Romania has widened during the same time period, which is consistent with earlier arguments about the importance of density for development and the expected divergence in early stages of growth. 27 Figure 12. The Carpathian Mountains lengthen the distance to Western Europe Figure 13. București has rapidly distanced itself from the rest of the country Source: Romanian National Statistics Institute In addition, a three points in time series of GDP/capita at the county level Divergence patterns indicate a rather stable economic hierarchy (see figure below). The divergence between leading and dynamics is obvious especially among the leading counties. The ranks in the lagging areas are stable decreasing order are the same in 2005 and 2010 for Bucureşti, Ilfov, Timiş, Cluj over time, but all regions and Brasov. The distance between the lagging regions and the more developed have grown 28 regions has continually increased over the past decade. For the lagging regions it is not only hierarchy of development that is constant but also the relative distances between them. Figure 14. GDP per capita across counties, in 2000, 2005, and 2010 70 60 Thousans lei per capita 50 40 30 20 10 0 IS IL IF TL MS TR MH TM MM NT VL VS VR CJ B OT CT CS CL AB CV AG AD PH SJ SB SV DJ GJ DB GL SM HG BZ HD BT BH BC BR BV GR BN GDP/capita 2000 GDP/capita 2005 GDP/capita 2010 Data source: National Institute of Statistics Despite greater internal divergence among counties, Romania has experienced higher external convergence relative to the EU. Indeed, while București has Despite greater internal grown faster than every other county in relative terms, every over county has divergence among grown as well. In fact, they have grown at a very healthy pace; between 2005 counties, Romania has and 2009, most counties in Romania, with nine exceptions in the east and south experienced higher of the Carpathian Mountains, had come closer to the EU average. Put differently, external convergence as the figure below shows, these growing counties had a larger share of the EU’s relative to the EU GDP in 2009 compared to their share in 1995. As for București, its GDP per Capita is now higher than the EU average, which technically means that Romania’s capital city is now one of the EU’s economic engines. The only other county that has achieved this feat is Ilfov – the de facto suburb of București. 29 Figure 15. Most counties have begun to catch up to the EU average since 1995 Source: EuroStat In terms of the policy implications of distance, decision-makers in Romania Policy makers in should consider solutions for improving connectivity to: (a) cities with large and Romania should look to growing economic mass within the country; and (b) to the gravitational center of improve connectivity to Europe. With respect to the former, investments should “shorten” the economic leading areas within and distance between lagging and leading areas, facilitating the flow of people, beyond national borders goods, and services toward Romania’s growth engines. Improving transport infrastructure should connect the country’s leading economic centers to both surrounding areas in their immediate vicinity – say, within the 1-hour daily commute area – and to more distant, less prosperous cities. The same principles underlie the need for improving connections to the Improved connectivity economic gravitational center of Europe. Shorter distances to Germany, France, can offer people in Italy, and other key markets would allow Romania to export goods more easily to lagging areas better satisfy European demand and to import goods more cheaply for domestic access to consumers. Facilitating the flow of people also creates significant benefits, as opportunities in workers in lagging regions can pursue the best opportunities available in leading leading areas (jobs, regions. Over time, this process enables the transfer of capital, knowledge, and markets, education) ideas to less prosperous areas, facilitating convergence. There are also spillover effects supporting further convergence in the long run. Cities like București, Timişoara, Cluj-Napoca, Constanța, and others are expected to expand their economic mass to include adjacent areas. For instance, București will become increasingly linked to peripheral areas in Ilfov (which has registered the highest growth rate between 2009 and 2012), further out in Prahova, Dâmboviţa, Giurgiu, Călăraşi, Ialomiţa, and maybe even as far as Braşov, 30 Teleorman, or Argeş. Indeed, the experience of other countries confirms that spatial disparities in living standards become smaller as GDP per capita rises. Figure 16. Evolution of Spatial Disparities in Living Standards, Select Countries Source: World Development Report 2009 Division – Why Regional Integration Matters Division refers to the ease with which people, goods, services, capital, and ideas flow from a country to another. While physical borders play some role in division, Division refers to the this report focuses on economic borders to distinguish between countries that ease with which people, are integrated in functional economic communities and, at the other end of the goods, services, capital, and ideas flow from a spectrum, states that impose significant restrictions on trade flows and country to another migration. Countries that benefit from “thinner” economic borders are better connected to international centers of economic mass and have an easier path to taking advantage of available opportunities, thereby facilitating quicker, sustained progress. Multiple factors explain the existence and persistence of divisions. For their part, governments have used a range of instruments to “thicken” borders, Governments often typically with negative consequences over their long term economic “thicken” borders by development. Restrictions include: trade tariffs; capital flow controls; regulation putting in place of entry and exit for citizens, residents, and visitors; and barriers against the free protective policies (trade flow of ideas (e.g., government control of the media, restrictions on Internet tariffs, capital flow traffic, etc.). At the same time, certain divisions are beyond the control of control, or regulation of governments: country size, landlocked or sea-locked territories, and ethnic and entry and exit for cultural differences within countries and regions. There is significant evidence citizens) showing that countries with lower restrictions on the cross-border flows – of people, goods, services, capital, and ideas – are more likely to achieve and sustain economic growth. Globally, economic mass is currently concentrated in three primary regions: Globally, economic North America, Western Europe, and Northeast Asia. In the World Bank’s Golden mass is concentrated in Growth Report, the EU is dubbed “the Convergence Machine,” because it has three primary regions: helped more countries develop than in any other region in the world. Indeed, North America, Western this has been an unprecedented occurrence in the history of mankind. Proximity Europe, and Northeast to the EU and inclusion in the common market have allowed countries like the Asia Czech Republic, Hungary, Slovakia, or Slovenia, to quickly join the ranks of 31 developed countries, overcoming the so-called “middle-income trap.” This The EU is probably the concept, introduced by the World Bank’s 2007 An East Asian Renaissance study, World’s most efficient shows that drops in historic growth rates hinder countries leap from middle to “Convergence high income. Close to two thirds of low- to middle-income countries in 1960 Machine” were still stuck in the same category nearly 50 years later. The EU’s success in promoting development of new Member States is no The EU’s success in accident. During both pre- and post-accession periods, the EU makes strategic promoting development investments in connecting infrastructure, “shortening” the economic distance to of new Member States is highly concentrated markets in Western Europe and within the new Member no accident States. The common market also ensures consistency in regulation and the virtual elimination of trade barriers, opening markets to competition and an infusion of workers and capital from all across the EU. The effect has been dramatic. As the table below highlights, new Member States benefited from EU’s New Member States proximity even before their integration, but their post-accession growth has benefited from the EU’s been even more impressive. Between 1995 and 2005, they have more than proximity even before doubled their GDP per Capita. Primary cities in these countries grew even faster, their integration, but well exceeding the EU average by 2009. București, Sofia, Prague, Bratislava, their post-accession Warsaw, and other urban centers have not only become economic engines for growth has been even their respective countries, they have emerged as economic engines for the EU as more impressive a whole, with stronger economies than those of the key urban centers in more established Member countries – Greece, Portugal, or Spain. This is a phenomenal achievement by any standard. Table 1. GDP per Capita in Selected EU Countries and Cities (in Euro PPP) 1995 2000 2005 2010 EU27 14,700 19,100 22,500 24,500 Romania 4,800 5,000 7,900 11,400 BUCUREȘTI 6,900 10,700 17,300 28,500 Bulgaria 4,700 5,400 8,200 10,700 SOFIA 7,000 9,000 16,200 24,500 Czech Republic 11,200 13,500 17,800 19,500 PRAGUE 18,900 26,400 37,400 42,200 Slovakia 7,000 9,500 13,500 17,900 BRATISLAVA 14,900 20,700 32,900 43,100 Poland 6,300 9,200 11,500 14,300 WARSAW 13,900 26,100 34,500 42,600 Greece 12,300 16,000 20,400 21,400 ATHENS 13,300 18,200 26,100 28,200 Portugal 11,300 15,500 17,900 19,700 LISBON 15,700 21,800 25,300 27,400 Spain 13,400 18,500 22,900 24,300 MADRID 17,500 25,200 29,900 31,600 Source: EuroStat For Romania, joining the EU was one of the most For Romania, joining the EU was one of the most fortunate events in its history, fortunate events in its enabling rapid economic integration and development. As the figures below history, enabling rapid show, Romania had some of the fastest growing regions in the entire EU when economic integration and comparing GDP per Capita growth between 2000 and 2007. In București, GDP per development 32 Capita grew by a factor of 3.8 between 1995 and 2009, faster than vibrant cities like Warsaw, Bratislava, or Prague. Such impressive results prove that reducing the thickness of Romania’s borders to promote integration with the EU has facilitated rapid development, which is in fact one of the key premises of the common market in Europe. Figure 17. Romania shows one of the highest rates of increase in GDP per Capita across EU Regions, 2000-2007. Source: EUROSTAT; © EuroGeographics for the administrative boundaries Even with all the benefits of accession, Romania continues to have a peripheral Even with all the benefits position around the EU’s economic mass. This is partly why regions in the west of of accession, Romania the country have fared better than those in the east and south, which are continues to have a essentially farther away from the EU’s economic gravitational center. peripheral position within the EU Figure 18. Increased regional Integration can shift Romania’s position from a peripheral market to a central trade hub 33 The solution for encouraging even more growth in all directions (i.e., not just mostly westward) is to reduce divisions between Romania and other neighboring countries like Serbia, Moldova, and the Ukraine, and even further east and south toward Turkey, Georgia, Armenia, and Azerbaijan. Through diplomatic, political, and economic channels, policy makers could promote the greater integration of these countries with the EU, thereby shifting Romania’s position from a peripheral market to a central trade hub in Europe. Thus, while policy makers in Romania should continue to seek ways of deepening the country’ integration in the EU, they shoul d also be active The healthier Romania’s proponents of a continued expansion of the EU. This would bring more of neighbors are, the better Romania’s neighbors within the world’s largest economic block, with positive off Romania will be benefits not only for their own economies, but also for Romania’s economy. The healthier Romania’s neighbors are, the better off Romania will be. 34 Market Forces Shaping Urban Development Certain market forces play an important role in driving urban development and Certain market forces economic growth: scale economies and agglomeration; factor mobility and play an important role in migration; and transport costs and specialization. The following subsections driving urban discuss each of them in the Romanian context, pointing to recent trends and development and presenting key policy implications. There is one fundamental, common insight for economic growth: all developers who seek to promote strong, sustainable growth: cities are not scale economies and constructs of the state, but the result of market dynamics. Optimal policies, in agglomeration; factor this sense, rarely seek to alter the existing economic structure of cities; instead, mobility and they embrace it and allow local economies to do what they do best and take full migration; and, advantage of agglomeration economies. Indeed, evidence suggests that, as transport costs and economies move from agricultural to industrial to service-based production, specialization density, distance, and division matter more and more for sustaining growth. This is not to say that governments have no role in planning and managing urban settlements. On the contrary, as the next section will show, planners and policy makers have quite a few tools at their disposal to support development by understanding market forces, embracing them, and catalyzing their impact. Too often, however, policies are designed to actively oppose and overturn market dynamics; such endeavors are usually destined to fail and generate significant wastage of resources in the process. Scale Economies and Agglomeration – Why Growth Takes Place Where Growth Is Already Happening As argued before, density in major cities and adjacent areas helps provide a number of positive externalities that make urban agglomerations attractive to people and capital. For their part, individuals benefit from urbanization both as Individuals benefit consumers (on the demand side) and as employees (suppliers on the labor from urbanization both market). Where a city’s economic mass is large enough, there will be sufficient as consumers and as customers for certain products to make it profitable for companies to serve even employees niche segments. This is one reason why people can more easily find desired goods and services in large cities, from tattoo parlors and pet hotels to the more common grocery and hardware stores, and almost everything in between. Labor markets are equally diverse and active, enabling workers to find employment opportunities that better match and reward their unique skills. For companies, urbanization creates benefits in terms of the concentration Companies benefit of firms from the same industry (localization economies) and from different from urbanization industries (urbanization economies). Firms in a particular industry can more through the easily share resources (e.g., suppliers) and accelerate knowledge spillovers. agglomeration of firms in Across industries, firms can benefit from complementary products and services the same industry and in (e.g., investment banks located closely to business schools). The following table different industries summarizes the main types of relevant scale economies: 35 Table 2. Typology of scale economies Type of economy of scale Example Being able to purchase intermediate inputs at 1. Pecuniary volume discounts 2. Static Falling average costs because of fixed costs of Internal Technological operating a plant. Technological 3. Dynamic Learning to operate a plant more efficiently technological over time. Shoppers are attracted to places where there 4. "Shopping" are many sellers. 5. "Adam Outsourcing allows both the upstream input Smith" suppliers and downstream firms to profit from Static specialization productivity gains because of specialization. Workers with industry-specific skills are Localization 6. "Marshall" attracted to a location where there is greater labor pooling concentration of people with similar skills. 7. “Marshall- Reductions in costs that arise from repeated Arrow-Romer” and continuous production activity over time Dynamic learning by and which spill over between firms in the same doing place. 8. "Jane The more different things are done locally, the Jacobs" more opportunity there is for observing and External or innovation adapting ideas from others. agglomeration Workers in an industry bring innovations to 9. "Marshall" firms in other industries; similar to no. 6 Static labor pooling above, but the benefit arises from the diversity of industries in one location. Urbanization Similar to no. 5 above, the main difference 10. "Adam being that the division of labor is made Smith" division possible by the existence of many different of labor buying industries in the same place. The larger the market, the higher the profit; 11. "Romer" the more attractive the location to firms, the Dynamic endogenous more jobs there are; the more labor pools growth there are, the larger the market - and so on. Spreading fixed costs of infrastructure over 12. "Pure" agglomeration more taxpayers; diseconomies arise from congestion and pollution. Source: Adapted in WDR ’09 from Kilkenny, Maureen. 1998. “Economies of Scale”, Lecture for Economics 376: Rural, Urban and Regional Economics. Iowa State University. Ames, IA. Scale economies create a virtuous circle that promotes increased urbanization Scale economies create a and concentration of resources, to the point where negative externalities of virtuous circle that agglomeration exceed positive ones. Specifically, the availability of diverse goods promotes increased and services, along with more employment opportunities and higher salaries, urbanization and increase the attractiveness of urban settlements for people all across a particular concentration of country and beyond. Similarly, in deciding where to locate, firms much prefer resources areas where they can build stronger value chains – from suppliers to distributors and customers – and access larger pools of employees. As more companies and more people relocate to a city, its economic mass increases along with its 36 attractiveness and gravitational pull. These dynamics help explain why some urban agglomerations, including new growth engines in Eastern Europe, grow so quickly during their early stages of development. In Romania, the In Romania, scale economies and agglomeration have concentrated contribution of Bucureşti to the national economy resources in a few major economic centers, increasing divergence between has grown from 15% to regions. Between 1995 and 2009, the contribution of București to the country’s 25%, while most other GDP has grown from 15% to 25%, while most other counties have become less counties have become prominent in the national economy; only Timi ș, Cluj, Argeș, and Sibiu have less prominent managed to increase their GDP share. Figure 19. Most counties have become less prominent in Romania's economy Source: EuroStat At the same time, the labor force in Romania has concentrated around several growing cities, a trend that is likely to continue in the future. Usually, with greater competition in the workforce come higher productivity and higher wages. A similar pattern of concentration becomes apparent when assessing the The labor force in distribution of employees in high-paying sectors, with a few cities standing out as Romania has particularly effective in attracting these types of industries: București, Cluj- concentrated around Napoca, Arad, Timișoara, Brașov, and Galați. Interestingly, high-paying sectors several growing cities, a display an even starker pattern of concentration, with central city districts being trend that is likely to more adept at attracting high-paying sectors (e.g., finance, IT, insurance) than continue in the future their growing suburbs, where predominantly manufacturing firms locate This is because high-paying sectors can typically afford to bear the higher cost of locating in central districts, which enables them access to the best pool of human capital; by contrast, manufacturing and other low-margin sectors save costs by locating in the suburbs, while still having access to labor pools in the proximity of the city. 37 Figure 20. Distribution of employees across Romania, 2011 Data Source: ListăFirme Figure 21. Distribution of employees in high-paying sectors, by locality, 2011 Data Source: National Institute of Statistics and ListăFirme 38 There is also emerging evidence that certain industries in Romania are becoming increasingly localized. For instance, the software industry was located in five Certain industries in counties in 2011, down from ten counties eleven years earlier. This is a natural Romania are becoming consequence of agglomeration, as firms prefer locating in the same region to be increasingly localized able to access a qualified pool of labor, reliable suppliers, and shared knowledge and innovation. Figure 22. The software industry, like other growing industries in Romania, is increasingly localized Source: ListăFirme To be truly competitive, Romanian cities need both a number of large industries To be truly competitive, to pull the local economy forward, and a diverse economic base to sustain Romanian cities need growth even when some of the leading local industries struggle. The 2008 crisis is both a number of large particularly useful as data on the performance of cities before and after this industries to pull the period provides indication of the health, nimbleness, and sustainability of local local economy forward economies across Romania. An analysis in this vein will be performed for and a diverse economic Romania’s seven growth poles later on, and the result can be analyzed in Annex base to sustain growth 6. even when some of the leading local industries struggle 39 Factor Mobility and Migration – Why It Is Easier to Enable Access to Existent Opportunities than to Create New Opportunities Factor mobility and migration are market forces closely tied to agglomeration. When centers with high When centers with high economic density emerge, they exercise a growing economic density gravitational pull on surrounding communities. The larger a city’s economic emerge, they exercise a mass, the stronger its pull and the farther its reach, as people, firms, capital, and growing gravitational ideas come together in pursuit of opportunities. This is a normal and beneficial pull on surrounding process, allowing employees and firms to increase their productivity by communities relocating to places with higher economic density. In practice, however, policy makers often try to control the flow of people, companies, and ideas, seeking to prevent perceived consequences such as the continued weakening of lagging areas, a lower tax base, and the brain drain of Factor mobility from the best talent in their region. The truth is that factor mobility from lagging to lagging to leading places leading places helps promote convergence in the long run, as most migrants helps promote maintain strong links to their home communities, bringing back capital, skills, and convergence in the long expectations of functioning institutions. Moreover, when workers leave a lagging run area they create upward pressure on wages in that region, and downward pressure on wages in the leading area where they relocate. With the growing economic density of certain cities, Romania is also experiencing increased internal and external migration. With respect to the With the growing former, a household survey performed by the EU revealed that 87% of people in economic density of Romania migrated internally to seek employment or join family; 10% migrated certain cities, Romania is for education, health, or better living conditions; and 3% migrated for socio- also experiencing political or other reasons. Typically, policy makers in lagging areas can do little to increased internal and prevent people from trying to pursue better professional opportunities external migration elsewhere; they can, however, ensure access to similar living conditions and basic services (e.g., education, health, water and sanitation, etc.). Indeed, the development patterns of new housing units from 1990 to 2011 confirm that the population is concentrating around key economic centers, including in suburban areas that may offer better living standards at a more affordable price. This also has an impact on intra-county commuting – people commuting to work within the same county. In Romania, 2002 data show this phenomenon to be much more pronounced than cross-county commuting. A more recent study shows that, in the București metropolitan area, the commuting index (calculated as the percentage of commuters from the total number of employees) in the surrounding localities is over 50% for a number of 5 30 localities. In virtually every county, there were people who were living in one place and In virtually every county working in another. This is particularly true in the west of the country, a region in Romania, there are that benefits from a stronger and more dynamic economy. In fact, as people who living in one international experience shows, commuting for work is more prevalent in place and working in countries that are more developed; as previously argued, economic growth, another agglomeration, and mobility are self-reinforcing. 5 Please see http://www.zmb.ro/documente/rezultate.pdf 40 Figure 23. New housing units, 1990-2011 Data Source: National Institute of Statistics As for labor mobility across county borders, it is no surprise that it is less prevalent than intra-county commuting. It also closely mirrors the economic gravitational pull of large cities, particularly București, which appears to attract Cross-county commuting labor from all surrounding counties. In the rest of the country, cross-county labor is less prevalent than migration is usually limited to: workers close to the county border, who seek intra-county commuting opportunities in some of the larger economic centers in their region (e.g., Cluj, Iaşi, Braşov, Sibiu, Oradea); or employees who are simply traveling to workplaces that are just across county border lines (e.g., people from Mehedinţi commuting to the mines in Gorj). 41 Figure 24. Commuting patterns in Romania, by county, in 2002 Data Source: National Institute of Statistics Figure 25. Labor mobility across county borders, by locality, in 2002 Source: The Ministry of Regional Development and Tourism – Atlas On-line. [Available at: http://www.mdrl.ro/_documente/atlas/a_economie.htm] 42 When looking at internal migration patterns by sector, the highest proportions of daily commuters, between 30 and 40%, belong to industries dependent on natural resources such as oil, gas, mines, hunting, and forestry. At the other end The highest proportion of daily commutes comes of the spectrum, few workers employed in agriculture and high-wage service from natural resource industries like IT, finance, and real estate commute intra-county or across sectors, such as oil, gas, counties. (See Annex 1 for a more detailed picture) In simple terms, people that hunting, or forestry are mostly dependent on subsistence farming cannot generate the revenues that will allow them to commute on a daily basis. On the other hand, people in high- paying service industries can afford to pay for the higher cost of living in center cities. This detailed picture, particularly if supplemented with 2012 census data, can allow policy makers to predict demand for improved intra- and inter-county transport infrastructure based on the type of dominant local industries. Intuitively, special policies might be required for emerging suburban areas, with an eye to the extension of public transport networks and the potential expansion of the road network. Beyond internal migration, Romania has experienced pronounced external Beyond internal migration over the past two decades. Two common misconceptions about this migration, Romania has phenomenon persist: first, it is believed that emigration is a sign of the country of experienced pronounced origin’s lack of development rather than people’s rational choice of more external migration appropriate professional opportunities elsewhere; second, emigration is often over the past two seen as inherently bad as a loss of skilled labor for the country. In truth, as the decades table below highlights, virtually every successful Western European economy had a high share of emigration in 1900 – as high as 41% in the British Isles and around 30% in Italy. Even today, developed countries like the UK, Germany, or Italy have relatively high emigration rates. Table 3. Top migrant sending countries, 1900 vs. 2000 Top emigrant-sending % of sending country's Top emigrant-sending % of sending country's countries in 1900 population in 1900 countries in 2000 population in 2000 British Isles 40.9% Mexico 10.0% Norway 35.9% Afghanistan 9.9% Portugal 30.1% Morocco 9.0% Italy 29.2% United Kingdom 7.0% Spain 23.2% Algeria 6.7% Sweden 22.3% Italy 5.7% Denmark 14.2% Bangladesh 5.0% Switzerland 13.3% Germany 4.9% Finland 12.9% Turkey 4.5% Austria-Hungary 10.4% Philippines 4.3% Germany 8.0% Egypt 3.5% Netherlands 3.9% Pakistan 2.4% Belgium 2.6% India 0.9% Russia-Poland 2.0% United States 0.8% France 1.3% China 0.5% EUROPE 12.3% Japan 0.9% Total (Europe and Japan) 11.1% Total (of countries listed) 1.9% Source: World Development Report 2009 43 The fact that an economy has a high emigration rate is not necessarily a sign that its economy is performing poorly. Instead, it just indicates that the country has The fact that an mobile people, who are willing to look for opportunities elsewhere. Usually, economy has a high emigration brings net benefits to sending countries: people working abroad send emigration rate is not back remittances, and often return with new ideas and skills, bringing business necessarily a sign that its connections and consolidating links to centers of economic growth abroad. Most economy is performing importantly, it is critical to remember that individuals usually relocate to places poorly where they can be more productive. Consequently, measures aimed at reducing brain drain should be considered carefully. They may constitute a waste of resources in the short-term (people may move anyway) and may have negative economic side-effects over the long-run (by hampering the possibility of individuals to reach their full potential). A smarter idea might be to design brain regain policies that create opportunities for Romanians abroad to return home and pursue productive economic activities. Romania has benefitted from the 2007 EU accession, which lifted many of In 2008, Romania was in the restrictions on workers’ mobility. Currently, estimates of Romanians working the top 10 remittance abroad range between 2-3 million; preferred destinations include EU countries receiving countries, like Italy, Spain, Germany, and the UK, but also further states like the U.S., with almost $10 billion Australia, and Canada. In 2008, emigrants working abroad sent almost $10 billion sent back by Romanians back to Romania, which ranked in the top-10 remittance receiving countries that working abroad year, ahead of the UK, Italy, the U.S., and Brazil. Figure 26. Romania was in the top-10 remittance receiving countries in 2008 (in US$ million) Source: World Bank Figure 27. The number of Romanian students abroad has been growing Source:UNESCO Outbound Mobility Data, 1998-2011 44 Notably, increasing numbers of young Romanians choose to study abroad every year, particularly in some EU countries where they face lower tuition costs or can An increasing number of easily access loans or scholarships (e.g., the UK, Spain, Italy, Denmark, etc.). In young Romanians study abroad every year addition to acquiring skills and competing against their peers, Romanian students abroad benefit from experiencing a different education system and internalizing new social, economic, and cultural norms and practices. Figure 28. Romanian students are spread across many OECD states, 2010 Source: OECD Education at a Glance (2012) In the medium-to-long term, Romanian workers and students abroad can bring back investment capital, start new firms, replicate ideas, and build business and academic relationships with the countries they studied and worked in. This infusion of talent, skills, and knowledge can further support Roma nia’s long-term growth. Policy makers should go beyond well-known myths about the negative impact of emigration. Rather than trying to control it, they should encourage a continuous flow of people, firms, and ideas, in and out of Romania. This would Policy makers should go require investments in airport infrastructure, investments in connective beyond well-known infrastructure to these airports (so it is easy for as many people in the airport myths about the region to reach the airport), as well as investments in roads and railways to negative impact of facilitate cross-border movements. Of course, infrastructure investments should emigration be made only after careful analysis of existing endowments and needs. This would involve an in-depth cost-benefit analysis and a life-cycle costing study to determine how maintenance costs, over the entire life of the project, would affect its overall costs. At the same time, migration is not without its potential drawbacks. For example, there are many families in Romania where one or both parents are Migration is not without working abroad, leaving their children behind – to be raised by grandparents, its potential other relatives, or simply get by on their own. Over time, the lack of continuous drawbacks parental care and supervision may have social repercussions that are hard to anticipate. Also, while many migrants end up making more money in the new places they move to, some of them are forced to live in informal or improper settlements and are subject to harsh working conditions. 45 Transport Costs and Specialization – Why Falling Transport Costs have Led to Increased Localization, not Dispersion Transport costs and specialization play important roles in shaping countries’ Transport costs and trade flows. Over the past several hundred years, technology has reduce the cost specialization play of shipping goods and services, increasing trade volumes significantly along with important roles in important reductions in trade barriers. One expectation has been that lower shaping countries’ trade transport costs would determine countries to trade more with far-away regions. flows In reality, the opposite trend has emerged: as the world becomes increasingly globalized and transport costs go down, countries trade more with partners in their own region. Moreover, classical economics suggests that trade patterns between countries rely on competitive advantage, resulting in countries specializing more and more in the production of certain goods and services. The reality today is somewhat more nuanced: as transport costs have fallen, the highest share of cross-border trade now consists of intermediate goods, a testimony to the global economy’s higher level of integration and dynamism. Figure 29. Evolution of Global Trade, by 3-digit Product Groups Source: WDR ‘09 Intra-industry trade, broadly defined as the exchange of similar goods and services, is one of the most important economic developments since World War II. Exchanges of intermediate goods include, for example, auto parts, computer mother boards, and stereo components. At one level, the fact that this type of trade is increasingly prevalent is good news for developing countries, which can promote faster and stronger growth. As the 2009 World Development Report notes: “If all countries could trade were final goods, such as televisions and cars, the convergence in living standards would be slow at best. With trade in intermediate outputs, the potential for specialization and trade increases significantly.” At the same time, increased trade in intermediate goods means that transport costs are more critical than ever before because they intervene time and time again across the value chain to enable the timely, cost-efficient 46 delivery of components and, eventually, final products. It is estimated that a 10% increase in transport costs can lower trade volumes by as much as 20%. As the table below highlights, intermediate products constitute a significant Intermediate part of Romania’s largest imports and exports. Moreover, an important share of products constitute a trade seems to be intra-industry. As such, it is critical to identify quick, viable significant part of solutions to reduce transport costs – especially road transport, given that Romania’s exports and Romania’s most important trade partners are not-so-distant EU Member States imports (i.e., Germany, Italy, Hungary, France, Bulgaria, Turkey, the Netherlands, Spain, etc.). Connections to markets in Western Europe are truly essential in this respect. Table 4. Top exports and imports of goods in Romania, 2010 EXPORTS IMPORTS Product Names Value (USD) % of Product Names Value (USD) % of Exports Imports Cars $2,750,685,490 5.60% Medicaments, packaged $2,318,016,622 4.20% Insulated wire; optical fiber cables $2,579,051,796 5.20% Parts and accessories of the $1,868,640,291 3.40% motor vehicles Parts and accessories of the $2,480,818,475 5.00% Petroleum oils, crude $1,728,187,716 3.10% motor vehicles Transmission apparatus for radio, $2,421,137,343 4.90% Transmission apparatus for $1,476,094,855 2.60% telephone and TV radio, telephone and TV Petroleum oils, refined $1,911,043,412 3.90% Petroleum oils, refined $1,297,343,310 2.30% New pneumatic tires, of rubber $1,122,271,649 2.30% Cars $1,283,417,928 2.30% Ferrous waste and scrap $1,005,774,897 2.00% Telephones $1,239,213,997 2.20% Cruise ships and similar vessels $942,360,338 1.90% Insulated wire; optical fiber $1,167,251,557 2.10% for the transport of persons cables Seats $938,894,092 1.90% Electronic integrated circuits $738,875,466 1.30% Footwear, with leather body $908,359,554 1.80% Apparatus protecting $692,150,687 1.20% electrical circuits for < 1k volts Hot rolled iron or non-alloy steel, $755,388,421 1.50% Automatic data processing $545,265,394 0.98% coil, w >600mm, t >10mm, myp machines 355 mpa Wood sawn or chipped of a $709,439,858 1.40% Air or vacuum pumps; $523,034,631 0.94% thickness exceeding 6 mm ventilating or recycling hoods Medicaments, packaged $693,937,491 1.40% Other articles of plastic $488,267,291 0.88% Ball or roller bearings $665,144,803 1.40% Tanned hides and skins of $476,014,488 0.85% bovine or equine animals Women's suits, not knit $654,691,115 1.30% Parts for use with apparatus $464,140,061 0.83% for protecting electrical circuits Apparatus protecting electrical $603,653,969 1.20% Electrical transformers $436,278,067 0.78% circuits for < 1k volts Men's suits, not knit $572,235,678 1.20% Parts of radios, telephones $419,839,537 0.75% and TVs Air or vacuum pumps; ventilating $566,961,992 1.20% Other articles of iron or steel $416,184,819 0.75% or recycling hoods Other furniture and parts thereof $510,408,779 1.00% Swine meat $393,290,803 0.71% Cigars $495,329,727 1.00% Parts of footwear $389,706,398 0.70% Source: MIT Observatory of Economic Complexity Note: Shaded areas indicate likely intermediate products. 47 Another key feature of falling transport costs is the fact that industries are becoming increasingly localized. Although some economic literature would suggest that smaller transport costs would lead to a diffusion of economic As transport costs have fallen globally, industries activity over space – up to a perfectly even geographic spread, as transportation have become costs converge towards zero – in practice trade industries concentrate in a increasingly localized number of economic centers. This trend holds true even for sectors that benefit from transport costs that are close or equal to zero – e.g., the software industry. Indeed, data show that a large part of Romania’s exports come from only a few areas across the country. Figure 30. Share of total exports by locality in Romania, 2010 Data Source: National Institute of Statistics 48 Most of Romania’s exports (i.e., around 70%) go to the EU, with localities in western Romania particularly prolific in this respect. Many firms based in counties to the east and south of the Carpathian Mountains continue to face high Most of Romania’s exports (around 70%) transport costs. Improving the connective infrastructure along the “development go to the EU bridge,” through București and further east to the Black Sea is expected to lower transport costs and provide significant support to export industries. For example, good highway connections to the West and to Constanţa would allow the Dacia - Renault Company in Mioveni to compete even more effectively on price with rival car manufacturers around the world. Figure 31. Share of exports going to the EU by locality in Romania, 2010 Source: Romanian National Institute of Statistics Figure 32. Exports may benefit from connective infrastructure to the EU Source: Romanian National Institute of Statistics 49 Romania’s non-EU trading partners in the region include Turkey, Russia, the Ukraine, Serbia, and Moldova, in that order. A more distant market, the U.S. Romania’s main non-EU th ranks 16 among Romania’s top 20 trade partners; it is also the country’s third trading partners include Turkey, Russia, the largest non-EU partner after Turkey and Russia. In general, trade with non-EU Ukraine, Serbia, and partners originates from different industries across the country, with some Moldova concentration depending on each trading partner. Still, the geographical distribution of export industries serving non-EU countries appears more random; for example, counties in the West export to Russia and Moldova, while Prahova in Southern Romania trades with the Ukraine. This is likely due to the fact that Romania’s connecting infrastructure to non-EU neighbors – and even to Bulgaria to the South – continues to be deficient. But moving the country from its current peripheral role to that of a central Moving Romania from its trade hub for Europe will require significant growth in the flow of goods and current peripheral role in services to the North, East, South, and Southwest. Beyond better roads, railways, the EU will require airports, and ports, another solution to facilitate trade is by lowering trade significant growth in the barriers (from the amount of time trucks need to wait at the border, to the flow of goods and number of visas required, export and import taxes, paperwork and inspections, services to the North, etc.). As argued before, Romania has benefited greatly from joining the EU and East, South, and from the virtual elimination of trade barriers. It now has an opportunity to Southwest promote similar policies with other important trade partners such as Turkey and with immediate neighbors like Moldova, Serbia, and the Ukraine. Table 5. Romania’s main trading partners, by share of total exports (in 2009) 1 Germany 18.53% 2 Italy 13.94% 3 France 8.46% 4 Turkey 6.81% 5 Hungary 4.77% 6 Great Britain 3.70% 7 Bulgaria 3.61% 8 Spain 3.09% 9 The Netherlands 2.79% 10 Poland 2.70% 11 Austria 2.34% 12 Belgium 1.98% 13 Russia 1.96% 14 Czech Republic 1.57% 15 Greece 1.51% 16 U.S. 1.37% 17 The Ukraine 1.36% 18 Slovakia 1.26% 19 Serbia 1.25% 20 Moldova 1.21% Source: MIT Observatory of Economic Complexity 50 Figure 33. Exports to non-EU trading partners, in 2010 Data Source: National Institute of Statistics In addition to investments in infrastructure, policy makers can aim to lower transport costs by strategically and carefully regulating the transport industry. It is critical to prevent the emergence of monopolies or oligopolies in this sector and avoid any artificial increases in transport costs. Competition in this sector stands to benefit the economy as a whole. Of course, transport policies need to 51 distinguish among transport sectors that have natural barriers to entry (high capital costs, e.g., fixed rail track operation) versus those that are readily contestable (e.g., trucking). As for encouraging the general flow of people and ideas, it is critical to lower To encourage external air transport costs. The easier and cheaper it is for a potential investor to visit trade, it is important to Romania and have a pleasant stay there, the more likely it will be that she will first strengthen internal invest in the country. Similarly, the easier it is for people in the Diaspora to come trade back home more regularly, the more intense the exchange of ideas, knowledge, and capital. Finally, to encourage external trade, it is important to first strengthen internal trade. As economist Paul Krugman argues, successful export-oriented Successful export- industries usually succeed internally first. If an industry serves a competitive, oriented industries large internal market, it has better chances to prevail against competitors on usually succeed external markets. Arguably, the success of the Dacia brand in Romania, along internally first with local innovations in terms of cost efficiencies, helped the company succeed globally. As such, a strategy for lowering transport costs for external trade should go hand in hand with policies to lower internal trade costs by “shortening” distances between lagging and leading areas. 52 The Role of Public Institutions The previous sections have outlined a number of key issues developing countries There are a number of have to deal with. In particular it is important to note that: lessons policy makers in - no country has developed without urbanizing first; Romania should be - development is inherently uneven, and that is not a bad thing; aware of: 1) no country - geography and distance matter. has developed without Market forces play a key role in driving urbanization, re-allocating resources urbanizing first; 2) across space, and encouraging trade. So do governments! This section is about development is what exactly governments can do to encourage productivity growth and spur inherently uneven; and economic development. 3) geography and Much of urban development in Romania has happened during communist distance matter times, lending Romanian cities a number of traits that are unique. Guiding urban development in a way that will make cities more competitive, sustainable, and inclusive requires a good understanding of: existent trends in Romania; the optimal mix of public interventions versus free market outcomes; and the range of tools that governments can rely on to shape urban development. Far too often, policy makers put regulations in place that are not adequate for their intended goals – e.g., they may cause a number of unexpected negative side- effects and remain ineffective in achieving their purpose. At this point in the analysis, this report provides an overview of different types of public interventions that can help Romanian cities become more competitive, and help the Romanian economy sustain long-term growth. The current assessment will draw on the framework provided in the WDR ’09, which, depending on a country’s existing level of urbanization, recommends the use of three major tools: spatially blind “institutions” to facilitate economic density; spatially connective infrastructure to reduce distance to economic density; and spatially targeted interventions to reduce social and economic divisions. Most importantly, for a country that is at the development level of Romania, it is important to improve connectivity and accessibility. The more people have For the 2014-2020 access to opportunities, the better-off the country as a whole will be. Second, it Programming Period, the is important to provide good institutions (e.g., well-functioning land and housing MRDPA and the markets, good public services infrastructure, good education and health-care) for Romanian Government people living in lagging areas. When people are served by good institutions, they should focus on the will have more time and energy to focus on their own goals and self-realization. following priorities: 1) It is important to do quality of live investments for leading areas, to enable them connective infrastructure to continue attracting and retaining people. Lastly, it is important to target for the country as a certain measures at marginalized and minority groups, whose mobility and whole; 2) good access to opportunities may be affected by causes outside markets (e.g., institutions for lagging discrimination, politics, ethnic, or language divisions). Maintaining these groups areas; 3) quality of life isolated or in a state of relative or full dependency on passive social benefits investments in leading would not only increase public resource spending, but may also stunt the areas; and 4) targeted country’s economic development potential by not allowing a significant part of measures for the population to achieve their full productive potential. marginalized and Thus, for the 2014-2020 Programming Period, the MRDPA, and the minority groups Romanian Government as a whole, should focus on four primary issues: - CONNECTIVE INFRASTRUCTURE for the COUNTRY as a WHOLE - GOOD INSTITUTIONS for LAGGING AREAS 53 - QUALITY of LIFE INVESTMENTS for LEADING AREAS. - TARGETED MESURES for MARGINALIZED and MINORITY GROUPS In what follows, the report will discuss how these issues could be integrated within the context of continued urbanization, sustainable territorial development, and increased regional integration. Urbanization – Cities as Economic Engines No country had developed without urbanizing first. Romania, with one of the lowest shares of people living in urban areas, has to encourage urbanization if it Romania has to hopes to stay on a development path. This section discusses some of the ways in encourage continued which this process can be encouraged – ranging from better defining and urbanization if it hopes managing urban areas, to enlarging their economic mass by building regional to stay on a synergies. development path Urbanization is a process that happens naturally, but public authorities play a critical role in guiding this process, in encouraging positive market externalities, and in addressing the negative side-effects of urbanization (e.g., congestion, pollution, social cleavages). Define Functional Urban Areas On paper, Romania is one of the least urbanized countries in Europe. Partly, this can be attributed to the way urban areas in Romania are defined. As indicated On paper, Romania is earlier, the World Bank computed the agglomeration index for Romania, which one of the least suggests that urbanization is higher by around 10 percentage points than the urbanized countries in official figure – 65% as opposed to 55%. Europe; in practice, the To understand this discrepancy, one has to first understand the way urban situation is somewhat areas in Romania are defined. Thus, there are three major types of urban different administrative territorial units: municipalities, towns, and communes (see map below). The population of municipalities and towns is aggregated to determine how many people live in urban areas. Up to this point, things don’t look very different from what happens in other countries. The difference comes, however, in the way municipalities and towns are designated. While there are some minimum population criteria, the decision to designate a commune as a town, or a town as a municipality, is often political in nature, although there are a number of clear criteria with respect to what Romania has today makes an area urban or not (as spelled out in Law 100/2007). Romania has today almost 3,200 localities – almost 3,200 localities – more than Poland (2,800), for a population half the size. more than Poland (2,800), for a Between 2000 and 2010, 10 more new municipalities, 45 towns and 174 6 population half the size communes appeared as a result of parliamentary initiatives. However, only 10% of the total number of localities in Romania can afford to cover their operational expenses from their own revenues (local taxes), while the local tax collection rate 7 remains rather low. Even with clear criteria in place (e.g., the share of the population engaged in The designation of non-agricultural activity, or the share of the population connected to a sewage urban areas is often network), the designation of urban areas often seems to be random and done in a random and haphazard. For example, a growing suburb of a city may be designated as rural, haphazard manner while an isolated settlement may be designated as a town. Similarly, although 6 Source: IPP - http://www.ipp.ro/pagini/clientelismul-politic-a-falimentat-nu-nu.php 7 Source: IPP - http://www.ipp.ro/pagini/ipp-cere-guvernului-s259-opreasc259.php 54 the idea of metropolitan development has permeated policy circles in Romania There is still limited (for example, in order to access Regional Operational Programme funds, the understanding of sub- seven designated growth poles in Romania had to apply as metropolitan urban and peri-urban entities), there is still limited understanding of sub-urban and peri-urban settlements as part of settlements as part of functional urban areas. functional urban areas Figure 34. Distribution of Municipalities, Towns, and Communes (in 2011) Source: National Institute of Statistics The map above indicates that some areas in Romania (e.g., Brașov, Baia Mare - Satu Mare, or Valea Jiului) function as de-facto con-urbations. However, most large cities (e.g., Timișoara, Cluj-Napoca, Iași) seem, on paper, to be lone urban 55 islands, surrounded by rural areas. In reality, however, these cities have expanded outward in the past two decades and are part of functional economic zones far beyond their own boundaries. Many new companies have settled on the outskirts of these cities and people commute in from around the area for work, school, business, and leisure. As such, some sub-urban and peri-urban administrative territorial units have to be understood as part of functional urban areas and categorized accordingly. This will not only help boost Romania’s urban population, but it will enable better planning and policymaking at the local, regional, and national level. As shown earlier, the only places that have gained population, as the Suburban areas are the country’s total population dropped by 4 million since 1990, were cities’ suburbs. main areas that have For example, Florești, one of the main suburbs of Cluj-Napoca, has quadrupled its witnessed population population from 1990 to 2012, and it is now larger than 3 of the 6 designated growth in the past two urban areas in Cluj county. In 2008, the peak of the real estate boom, Florești decades added more housing units than any other locality in Romania – including București. However, Florești continues to be designated a rural area, and planning at the local level is done in an isolated way. For example, although Florești is well embedded in the economic life of Cluj-Napoca (with people traveling back and forth for work, shopping, and leisure), no additional connective infrastructure has been developed to enable better flows between the two localities. As a consequence, the stretch of road that connects Cluj-Napoca to Florești has the highest density of road accidents in the country. While this example is extreme in nature, it is by no means singular. Almost every city in Romania has had growing suburbs and may need to better connect It is important for to its hinterland. As such, it is important that larger economic and urban zones national authorities to are designated as such. This will enable more strategic planning of public better delineate investments and provide a more coherent framework for policymaking. functional urban Currently, metropolitan areas are primarily considered for EU-funded projects areas (and only under the Regional Operational Programme) and do not have a clear administrative regime and/or regulatory framework, unlike other public investments and policies. In sum, national authorities in Romania should identify and define the larger urban zones in the country, and consider the opportunity of having metropolitan management – even if only for specific issues (e.g., urban planning, or the development of transport infrastructure at the metropolitan level). Better Connectivity and Accessibility in High-Density Rural Areas As indicated earlier, no country has developed without urbanizing first. Similarly, no region will develop without becoming more urban. The interesting thing about Romania is that some of the most densely populated places are also some of the least urban. In other words, they have the population, but the population is spread across space. 56 Figure 35. Some of the densest counties are also some of the least urban Data Source: National Statistics Institute The figure below shows how some of these densely packed rural areas look like. For all intents and purposes, they are rural agglomerations, composed of small communities engaged in subsistence farming. Often, with economic development, these disparate communities start to coagulate together around growth centers in the area. It is hard to predict the exact growth centers that these communities will coagulate around. Growth usually does not happen in a smooth, linear way. Quite the contrary, growth happens in spurts, followed by fits and starts. For example, the decision of a local who has made a fortune abroad to invest in his home-town may change the fate of an entire city and its surrounding area. Growth cannot be predicted, it can only be enabled. Figure 36. Types of dense rural agglomerations Data Source: GeoFabrik (http://www.geofabrik.de/) Still, there are some ways to anticipate where growth may happen. First off, higher density rural areas tend to be concentrated around an urban center. Even Higher density rural if many rural communities depend on subsistence farming, they also benefit from areas tend to be proximity to a larger city (where they can sell produce and access services more concentrated around an easily). As is evident in the map below, high density rural communities usually urban center have a city that is relatively close by. 57 As such, one of the most important measures to be taken by public authorities is to identify ways in which these dense rural communities can be better linked to places with economic and demographic mass. Such measures should not only focus on the development and improvement of connective infrastructure, but also on improving accessibility and connectivity by providing proper information on bus and rail schedules, investing in the upgrade and upkeep of bus and railway stations, and setting standards for price and comfort on public transport means. Figure 37. High density rural areas are usually clustered around cities (in 2011) Data Source: National Institute of Statistics To have a better idea of where the emerging urbanizers are located, this report uses the agglomeration index methodology from the World Development Report 2009, with a slight adjustment. In the WDR ’09, localities with a metropolitan influence area are considered to be those that have a population larger than 50,000 people. In the case of Romania, however, the Ministry of Regional Development and Public Administration (MRDPA) has proposed a threshold of 40,000 people for localities with metropolitan potential. We have therefore decided to use this latter threshold for our analysis, and have selected all localities that fit the profile. Next, we selected all rural localities with a population density higher than 150. Density was computed based on the surface areas of the administrative territorial unit, not on the area of the actual built-mass. While this is not ideal, it does allow for a quick calculation of areas 58 with high urbanization potential – that is, areas that are dense enough to enable the appearance and creation of urban settlements. The larger the economic Such areas could benefit from public interventions and investments in the and demographic mass development of infrastructure typical of urban areas, and could in time build of a particular place, the sufficient gravity pull to attract more people and resources. The larger the more momentum it will economic and demographic mass of a place, the more momentum it will develop build toward developing toward developing urban mass. urban mass The map below shows those areas with high urbanization potential. Three types emerge based on this analysis: - The suburbs of established growth and development poles (e.g., Timişoara, Cluj-Napoca, Iaşi, Oradea, Târgu-Mureş); - The Bucureşti-Ploieşti-Târgovişte con-urbation; and, - The emergent urbanizers of the North-East. Figure 38. The New Urbanizers (in 2011) Data Source: National Institute of Statistics The two latter groups are most interesting for our analysis. The concentration of high density rural areas around the Bucureşti-Ploieşti-Târgovişte conurbation 59 recommends the development of connective infrastructure and investments in improved accessibility, to enable the coagulation of these areas in fully functional and inter-connected urban zones. Such conurbations are quite common in the developed world, ranging from the Ruhr Region in Germany (with cities like Dortmund, Bochum, Essen, Duisburg, and Düsseldorf tightly packed together) to the BosWashMeg in the US (one of the largest megalopolises in the world, stretching all the way from Boston to Washington, DC). Overall, the more inter-connected such conurbations, the more they can profit from the synergies created from the flow of people, capital, and ideas, and from a larger economic mass – which allows them to attract even more people, capital, and ideas. At the same time, the emergent urbanizers of the North-East give a hint of where resources should be directed to encourage an urbanization push. The North-East is one of the least developed regions of Romania, and one of the least urban. It has however high population densities, and with economic growth, this population will likely concentrate more and more in and around urbanizing areas such as Roman, Paşcani, Piatra Neamţ, or Suceava. There already seems to be a benefit from being close to urban areas, as all these high density rural communities are clustered around a city or town. As these communities will continue on their growth path, they will become increasingly inter-connected and inter-dependent. To anticipate this urbanization push, the MRDPA could allocate resources for improved connectivity and There seems to be a accessibility. Again, this does not necessarily have to involve the development of benefit from being close new roads, although an in-depth analysis of these regions may indicate that they to urban areas do indeed need such investments; often times, all that is needed is a regional public transport system that is coordinated and managed across administrative boundaries. Simple measures like these are often overlooked because individual local administrations are reluctant to work together. Associations between localities at different levels are rare, while the emerging associative structures (such as intercommunity development associations or metropolitan area associations) often emerged as a mandatory condition to access European funds, and not as a result of proactive, direct action by local stakeholders. Strong Institutions for more Remote Rural Areas Anticipating where urban growth will happen cannot only speed urbanization, but it could also help guide urban development in a sustainable fashion, by Anticipating where strategically fitting urban planning guidelines to infrastructure development urban growth will projects. Much of the urban growth after 1989 has happened in an unplanned happen cannot only and uncontrolled fashion, leading to the emergence of suboptimal urban spaces. speed urbanization, but A look at the map below shows that many of the latent urbanizers are it could also help guide clustered in some of the less developed areas in Romania, to the East and South urban development in a of the Carpathians. While the densest rural communities are clustered around sustainable fashion emerging urban centers, there are other, quite dense rural communities, which are at some distance from any city or town. Developing connective infrastructure to link these more distant communities may not always be the best option. What may make more sense, and what the WDR’09 recommends, is the development of strong institutions that will enab le people to become more mobile, and ideally more upward-mobile. The range of institutions that could play a role here is great. For example, well-functioning and 60 well-enforced land and housing markets will enable people to more easily move to centers of opportunity in the region. Good schools and health-care will Access to basic public provide the foundation for accessing a wider array of jobs (or continued services can help people education) in established or emerging urban areas. Access to basic public become more productive services, such as piped water supply, sanitation, gas networks, can help people become more productive. Access to information may also ease access to opportunities. Figure 39. Density profile or Romanian communes (in 2011) Data Source: National Institute of Statistics Note: The white spaces represent urban territorial administrative units The development of effective and efficient land administration systems is critical for many communities in Romania. In many cases, there is no clear understanding of who owns what, access to information on property titles is often difficult, and corruption is quite prevalent. Many of these issues could be solved if the cadaster system would be designed to be as accessible and transparent as possible. The easier it is for people to find information about land and housing, the easier it will be for them to access opportunities in the region. Help Growth Poles Become Larger Large cities are developed cities. The larger they are, the more developed they tend to be. The section on agglomeration economies described the market forces responsible for this process, and the case of București provides the empirical evidence to exemplify this point further. The problem, however, is that the urban system in Romania is skewed. In most countries that have grown organically, the distribution of cities by population follows a rather uniform pattern – a statistical oddity known as the 61 Zipf Rule or the Rank-Size Rule. According to this, cities will follow a uniform distribution pattern if the log of their rank and population is plotted on a graph. In simpler terms, a rank 1 city will be followed by 1-2 cities of about half the population, then by 2-3 rank 3 cities of about a third the population, and so on. The graphs below show nicely how this city distribution pattern looks like for a number of countries that have grown organically after 1945. Figure 40. Zipf Distribution in Selected Countries, for 2010 ITALY FRANCE 62 SPAIN TURKEY In Romania, however, București is around six times larger than the next batch of cities. This means that a disproportionate amount of people and resources will be attracted by the capital. At the same time, this means that, with continued development, a new wave of rank 2 cities may emerge to fill the existing urban gap. Figure 41. Zipf Distribution in Romania, for 2010 63 If Romania would have developed organically, it should now normally have a city If Romania would have of about 900,000 people, and one of around 600,000. With the country’s developed organically, it demographic decline, and judging from the evolutions of the past year, it is should now normally rather difficult to predict which cities will grow to become rank 2 cities. Some have a city of about early patterns do emerge though. 900,000 people and one For the Zipf distribution above, we used 2010 data from the National of around 600,000 Statistics Institute. That data is based on projections from the 2002 census and also includes population shifts that have been measured in the interim (e.g., people establishing their domicile in the city). In the mean-time however, data from the 2012 census has become available, and this data uncovers a number of interesting dynamics (see figure below). Figure 42. Zipf Distribution in Romania, for 2012 The most important shift is the decline of București’s primacy and the ascendance of Cluj-Napoca. More specifically, București lost around 13.3% of its population between the two censuses, while Cluj-Napoca has had the lowest population loss of any of the growth poles (see table below). Of course, București has not really lost population, but rather has witnessed movement to the suburbs. In fact, București’s suburbs are the fastest growing area in Romania. Similarly, other large cities have expanded beyond their administrative borders. Consequently, it is important to stress again that urban policies and investments should be designed, implemented, and managed beyond city boundaries. And this will be discussed more in-depth in the following section. 64 What is important to note at this point is that there is an urban re-shuffling taking place in Romania, and that the system of cities in the country seems to re- arrange itself around a classical Zipf distribution. Table 6. Demographic Shifts in Major Romanian Cities Census Population % Change 2002 2012 București 1,934,449 1,677,985 -13.26% Cluj-Napoca 318,027 309,136 -2.80% Timișoara 317,651 304,467 -4.15% Iași 321,580 263,410 -18.09% Constanța 310,526 254,693 -17.98% Craiova 302,622 243,765 -19.45% Galați 298,584 231,204 -22.57% Brașov 283,901 227,961 -19.70% Ploiești 232,452 197,522 -15.02% Source: National Institute of Statistics (preliminary Census data) It is premature however to determine clearly which of the cities above would become rank 2 and rank 3 cities, and most countries have witnessed a reshuffling Cluj-Napoca and of lower rank cities over time. Nonetheless, it is clear that Cluj-Napoca and Timișoara are likely to Timişoara enjoy a natural advantage because of their closeness to the Western become rank 2 cities border, and because of their distance from București, which allows them to expand their economic mass independent of the capital. Whether these two cities will continue their lead in the coming years depends to a large extent on how adept they are at nurturing people magnets. In countries that are still developing, the most important people magnets are jobs. Thus, when we look at where the jobs are located, we do indeed see that Timişoara and Cluj-Napoca lead, having around 20,000 more employees than the next city in line – Constanţa. Table 7. Number of employees by city, in 2011 1 Bucureşti 949,721 2 Timişoara 108,301 3 Cluj-Napoca 105,481 4 Constanţa 87,608 5 Braşov 79,268 6 Iaşi 70,149 7 Galaţi 66,193 8 Ploieşti 64,569 9 Craiova 63,095 10 Oradea 62,573 11 Arad 57,107 12 Sibiu 55,333 13 Piteşti 47,228 14 Baia Mare 39,775 15 Târgu-Mureş 39,339 65 16 Râmnicu Vâlcea 39,277 17 Bacău 37,311 18 Buzău 36,972 19 Brăila 36,796 20 Satu Mare 33,923 Source: ListăFirme Timişoara and Cluj-Napoca continue to remain in the lead when we look at 8 average wages (see figure below), the number of high-wage employees , and at 9 the number of employees in job-creating sectors . These two cities could consolidate their position in the front of the urban pack, if they manage to continuously enlarge their economic mass. Table 8. Number of Employees in High-wage Sectors, in 2011 No. of % of Total CITY Employees Employees 1 Bucureşti 193,313 20.4% 2 Timişoara 32,719 30.2% 3 Cluj-Napoca 24,185 22.9% 4 Constanţa 21,369 24.4% 5 Galaţi 19,955 30.1% 6 Ploieşti 18,289 28.3% 7 Braşov 18,175 22.9% 8 Arad 17,635 30.9% 9 Mioveni 15,697 72.4% 10 Craiova 15,424 24.4% 11 Iaşi 14,163 20.2% 12 Sibiu 12,815 23.2% 13 Sânnicolau Mare 12,397 85.4% 14 Piteşti 10,532 22.3% 15 Mediaş 9,740 39.0% 16 Bistriţa 9,527 37.2% 17 Petroşani 9,476 65.0% 18 Satu Mare 8,206 24.2% 19 Târgu Mureş 7,932 20.2% 20 Otopeni 7,557 42.1% Source: National Statistics Institute and ListăFirme One of the most critical public interventions that would allow these two cities to expand their economic mass, and by default their population size, is through the development of connective infrastructure to the West. The easier it will be to reach the West, the more easily will these cities attract investments that will enable them continuous growth. In addition, Timişoara and Cluj -Napoca should better connect themselves to the larger region they are part of, taking full advantage of the labor pool, skills, and capital that are within their reach. For 8 High-wage employees are those employees that are working for a sector that pays a higher wage than the national average. A full list of these sectors is included in Annex 2. 9 We define job-creating sectors, those sectors that have had job-growth both before the crisis (2005-2008) and after (2008-2011). A list of the largest job creators is included in Annex 3. 66 example, Timişoara and Arad (which are less than an hour apart) form a conurbation of around 1 million people. Figure 43. Distribution of Employees in Job-Growth Sectors Data Source: ListăFirme and National Institute of Statistics To enable greater mobility for people in such conurbations, it is important to Spatially blind have a set of spatially blind institutions in place. Spatially blind institutions are institutions are public public tools that are not targeted at a particular area, but apply to the country as tools that are not a whole. They include well enforced property rights, flexible land and housing targeted at a particular markets, quality public utilities infrastructure, quality healthcare and education, area, but apply to the and a uniform tax system. country as a whole Ideally, land and housing markets should be allowed to work as efficiently as possible, enabling people to move from one place to another easily. If land and housing prices are artificially high, they will serve as a barrier of entry for many. If land and housing prices are artificially low, they will discourage developers to invest in new land and housing projects. Well-functioning land and housing markets require easy access to information (e.g., knowing who owns a particular parcel of land), well enforced property rights (e.g., prohibiting illegal developments), credible mechanisms for contract enforcement (e.g., ensuring smooth land and housing transactions), and urban planning laws that are flexible enough to allow additional development and tough enough to control potential negative market externalities (e.g., building a polluting factory in the middle of a city). 67 The more efficient these institutions will be, the quicker will the urban system in Romania become more balanced – i.e., with strong rank 2 and rank 3 cities that can help outweigh the strength and pull of the capital. Expand Cities’ Economic Mass Cities do not exist in a vacuum – they are part of urban-rural systems. The more Cities do not exist in a integrated and synergetic these systems are, the more efficient core cities vacuum – they are part become. In a well-integrated urban-rural system people have easier access to of urban-rural systems opportunities (e.g., jobs, schooling, business), amenities (e.g., theaters, festivals, large shopping centers), and key public services (e.g., healthcare); firms from outside the core city have easier access to markets (e.g., selling agricultural produce grown in the area); and firms from within the core city area have easier access to a large labor pool. The functional economic area of cities usually spreads well beyond administrative areas, and the more cities grow, the larger this area becomes. In the most developed countries, functional economic areas are often defined around a 1-hour driving buffer, which is the maximum time most people are willing to spend commuting. De facto, however, economic areas can be much larger, especially when they follow a polycentric development pattern with several growth poles included. Figure 44. Urban economic areas are larger than administrative boundaries 68 Cities in Romania are also becoming increasingly inter-connected, and this dynamic should be encouraged. The map above highlights the potential economic areas of eight of the most important economic centers in the country: Bucureşti, Braşov, Constanţa, Craiova, Cluj-Napoca, Iaşi, Ploieşti, and Timişoara. Annex 3 includes detailed maps for all of these areas. One of the first things that becomes clear when looking at these maps is that cities are part of systems. For example, Timişoara and Arad form a region with a much higher mass than their individual economic mass. The functional economic area of Bucureşti reaches as far as Ploieşti, Piteşti, Giurgiu, and Călăraşi, forming a conurbation that has become increasingly dynamic in recent years. Most of the population growth has happened in this area, which has also attracted, and the lion’s share of investments. Understanding cities Understanding cities outside their administrative boundaries can enable outside their better planning and management of limited public resources. For example, if administrative Timişoara is analyzed individually, it has a population of around 300,000 and is boundaries can enable responsible for around 3% of all firm revenues generated in the country. When better planning and considering its total potential economic area, however, the population triples management of limited and the economic weighed doubles. Similarly, Craiova on its own has around public resources 250,000 people, but its potential economic area is four times bigger. Table 9. Local and regional indicators for major cities in Romania Driving time buffer from city center 60 min. from 20 min. 40 min. 60 min. city border Population 350,000 452,000 767,000 945,000 Timişoara % of National Firm Revenues 3.16% 3.41% 5.43% 6.00% Population 360,000 482,000 620,000 905,000 Cluj-Napoca % of National Firm Revenues 3.29% 3.48% 3.71% 4.47% Population 328,000 423,000 582,000 943,000 Iaşi % of National Firm Revenues 1.47% 1.52% 1.60% 2.20% Population 302,000 470,000 787,000 1,080,000 Craiova % of National Firm Revenues 1.43% 1.60% 2.70% 2.94% Population 312,000 492,000 620,000 716,000 Constanţa % of National Firm Revenues 2.51% 4.12% 4.54% 4.67% Population 328,000 485,000 615,000 868,000 Braşov % of National Firm Revenues 2.65% 2.83% 2.98% 3.54% Population 305,000 556,000 2,724,000* 3,554,000* Ploieşti % of National Firm Revenues 2.89% 3.44% 43.17%* 47.24%* Population 1,842,000 2,150,000 2,525,000 4,020,000 Bucureşti % of National Firm Revenues 37.82% 41.15% 41.61% 50.58% Data Source: National Institute of Statistics and ListăFirme *Includes figures for Bucuresti and its surroundings The table above gives a good indication of why regional development and management is important. For example, if an investor looks to locate in one of those cities, they are more likely to be convinced to do so if they know that there are 1 million people within a one-hour drive from the city, than if they are told that the city has a population of only 250,000. 69 Secondly, the driving buffer models clearly show how important good infrastructure is in improving accessibility. The highway system that connects Bucureşti to Ploieşti, Piteşti, and Constanţa, enables the capital to have a much larger economic mass than in the absence of this critical infrastructure. Right now, the Bucureşti economic area brings together 4 million people (around 21% of Romania’s population) and is responsible for over half of all firm revenues 10 generated in the country . To enable economic growth centers to take full advantage of the urban-rural system around them, and expand their economic mass, national and local governments have a number of tools at their disposal. These tools need to be fine-tuned, however, to respond to the specific needs of individual cities. First and foremost, it is important to determine the scale of the intervention. As the table above highlights, for some cities, the local scale is more important, while for others, the regional scale takes precedence. In Cluj-Napoca, for example, the local scale seems to be more important, with more people and economic activity being clustered within the urban core (i.e., a 20 minute driving area around the city center) than in any other secondary city in Romania. Constanţa, on the other hand, is more prominent at the metropolitan level, with the highest secondary city concentration of people and firm activity within a 40 minute driving area. Craiova has the largest labor pool to draw on in the 60 minute and 60 minute plus zones, while Timişoara has the largest economic mass in these zones. For each of these cities, and at each of these scales, different types of interventions may make sense, and the respective local authorities are best suited to determine what is most needed. Cluj-Napoca’s expansion is hindered by its hilly geography, while its economic structure (increasingly reliant on high-paying service sectors like IT and finance) allows it a localized growth pattern. Timişoara, Constanţa, and Craiova, on the other hand, are cities in relatively flat, plain areas, and can more easily expand outward. Figure 45. The topography of Cluj-Napoca 10 Firm revenues in Bucureşti may also include figures for companies that are only registered in the capital, but have production facilities somewhere else. 70 Moreover, they have manufacturing-intensive industrial structures, requiring large plots of land, access to strategic infrastructure, and access to a large labor pool. Cities that have large manufacturing bases have to be well connected to Cities that have large surrounding areas to meet factories’ labor needs. As cities grow, they become manufacturing bases increasingly expensive. However, the cost of living in these cities often grows have to be well faster than the salaries that manufacturing companies can offer (there are few connected to known manufacturing metropolises in the developed world). It is usually the surrounding areas to service industries that offer high-enough salaries to offset the increase in the meet factories’ labor cost of living. Wages in manufacturing industries tend to be more rigid, and needs companies often have to look outside city centers to meet their labor needs. Depending on whether the local, metropolitan, or larger economic area scale is more important, different types of public interventions may prove more effective at helping cities expand their economic mass. At the local level, the most critical interventions are those that provide a better quality of life. It is said that people move where opportunities are, but People move where the they stay where they have a good quality of life. As such, it is important to: opportunities are, but develop and nurture a dense, dynamic, and efficient public transportation system stay where they have a (enabling easy access to all areas of the city); protect and expand green spaces good quality of life and waterfront amenities; invest in cultural centers (e.g., theaters, cinemas, operas); to develop and expand non-motorized infrastructure (particularly pedestrian paths and bike lanes); create good public spaces and enable easier access to these spaces; encourage interactions between people by hosting events such as workshops, industry meetings, or festivals. Of these interventions, one of the most critical is the development of an integrated local transport network. As cities become denser, they also become more congested. If congestion lowers the mobility of people, it will eventually halt the city’s growth as well. Figure 46. Prices per square meter for apartments in select localities, in 2012 Source: Numbeo.com As such, a focus on safe, reliable, and comfortable public transport and non- motorized infrastructure is essential, as it can help lower dependence on 71 personal cars. In addition to a good transport system, it is also critical to have functioning land and housing markets, and good urban planning regulations in place. As cities grow, land, housing, and rents will become increasingly expensive, so there is need for a system that allows for land and housing to be identified, traded, and managed easily. It is just as important to have flexible planning regulations that respond to changing spatial dynamics with the right tools (e.g., allowing higher densities in areas with high demand, while protecting the historical and cultural heritage fabric of the city). As the figure above indicates, cities with more localized economies, like Cluj-Napoca and Iaşi, have higher real-estate prices than cities with a more regional economy, like Timişoara. At the metropolitan level, the most critical interventions focus on easing mobility and interactions between different constituent communities. A key intervention, in this sense, is the development of an integrated metropolitan transport system. Such a system may include park-and-ride facilities (which allow people to park their cars outside cities and take public transportation in), metro buses and light rail connecting different communities, and inter-city bike-lanes. Investing in such transport systems is particularly important in areas with new emerging industrial areas. However, investments should carefully consider the capitalization rate of the number of users versus the costs for developing alternative metropolitan transport services/infrastructure. Almost 80% of the built fabric in Romania was developed during Almost 80% of the built communism, and urban transport networks were usually designed to connect fabric in Romania was dormitory neighborhoods to industrial platforms. Following 1989, many of the developed during factories operating on those platforms have gone bankrupt, or they have communism, and urban reduced their activity substantially. New factories have taken their place, but transport networks were these are often located in different areas. And, while new companies were usually designed to relatively quick to take the place of old companies, local authorities have been connect dormitory less adept at developing the infrastructure that would better connect these new neighborhoods to employment centers to employees and their homes. industrial platforms Partly, this shortcoming can be attributed to the fact that the newly forming economic zones cross administrative boundaries – for example, a manufacturing facility may operate in one locality, while most of its workers live in a different one. Although metropolitan associations have been formed to access EU structural funds, they rarely function the way they were supposed to (i.e., there are few truly metropolitan projects that are undertaken), and there is little cooperation and coordination happening between neighboring communities. Usually, large cities are dominant when deciding priority of investments in metropolitan areas, while they do not necessarily acknowledge the importance of designing projects that go beyond their administrative boundaries. It may pay off for national authorities in Romania to consider the viability of metropolitan governance – at least for key functions that need to be It may pay off for implemented at this scale, such as urban, socio-economic, and spatial planning, national authorities to in addition to better coordination and effectiveness in the absorption of EU consider the viability of funding. The current formula, in which staff of the metropolitan association is metropolitan supposed to be the liaison between the mayor of the growth pole and those of governance different localities around, is unlikely to boost genuine metropolitan development and generate strong cooperation between localities. 72 For larger economic areas, it is critical to develop connective infrastructure. Such infrastructure serves several purposes. On the one hand, people in the area For larger economic have easier access to opportunities, amenities, and key public services in the core areas, it is critical to city. For example, they would have easier access to quality schools, healthcare, develop connective cultural venues, jobs, and business opportunities. On the other hand, by being infrastructure better connected to the core city, people will in fact be better connected to the country and the world as a whole. It is usually the larger cities that can sustain large infrastructure such as airports, highways, and railways. And, for their part, airports and railway stations benefit from having a larger ridership pool to draw on. Additionally, connecting to a larger economic area can help expand markets for businesses in the core city, and can lead to a more inter-connected and dynamic region. For example, the distance between Bucur eşti and Piteşti is longer than the distance between Cluj-Napoca and Târgu-Mureş, but it takes almost half the time to do the drive. Consequently, Piteşti is part of Bucureşti’s larger economic zone, while Târgu-Mureş (an important economic center in Transylvania) is still waiting to be better connected to Cluj-Napoca. Figure 47. One-hour rail access areas for selected cities show several areas of potential focus Larger economic zones can also take advantage of the existing railway infrastructure, which, unfortunately, has suffered a lot in recent years (with 73 ridership decreasing from year to year and with more and more lines taken out of use or taken over by private operators). As will be discussed later, the railway infrastructure was over-dimensioned for the country’s needs, often connecting small density areas, which make it hard to operate certain routes profitably. Nonetheless, that infrastructure is there and policy makers should take advantage of it as best as possible. As a first step, it should be determined whether a critical mass of potential riders exists to make commuting by rail efficient. As the map below evidences, there are some cities where commuting by rail would make more sense that in others. For example, T imişoara and Ploieşti are less than one hour by rail away from a population of around 400,000. Cluj-Napoca and Iaşi, on the other hand, can only connect to around 100,000. Similarly, big urban centers like Braşov, Ploieşti, Bucureşti, and Constanţa are relatively close to each other and can enable the development of better inter-city rail connections. In fact, it would make sense to improve the entire rail corridor from Braşov to Constanţa. Right now, the journey by train from Braşov to Constanţa takes about 6 hours. The same distance could be travelled by an express high-speed train in less than 2 hours. Of course, the development of high-speed rail involves many considerations, and cost is definitely one of them. But the experience of other countries shows that increased ridership can be achieved if rail service is fast, reliable, and comfortable. Moreover, rail systems can be seamlessly integrated with road, bus, metro, and air systems to achieve better synergies and to allow for faster commuting. For example, trips by rail are faster in congested areas because trains run on dedicated line and do not have to stop at intersections or get stuck in traffic jams. Improving quality of life in cities – Building people magnets In developed countries, standards of living are relatively uniform across space. More specifically, a person living in a village or small town is just as likely as a person living in a big city to have access to basic services (e.g., water, sewage, heating, healthcare) and to basic opportunities (e.g., education, jobs). Consequently, when choosing to move to a place or another, people look at a host of things beyond jobs. They look at the availability of parks, at how pedestrian-friendly urban spaces are, how clean neighborhoods are, how beautiful the architecture is, at the availability of entertainment opportunities, and so on. These “host of things” are usually clustered under the general term of “quality of life.” In an environment where human capital and innovation are key drivers of In an environment where economic growth and development, cities within countries, and cities globally, human capital and are in a competition for a limited, strategic resource – people. To attract the best innovation are key and the brightest, local officials around the World are investing heavily in quality drivers of economic of life. In Romania, the availability of jobs is still one of the major criteria for growth and choosing a place over another. Nonetheless, some of the most established development, cities are professionals (those that have the luxury of being able to find a job in most large in a competition for a cities), often chose where to locate based on what these cities have to offer. limited, strategic Good quality of life investments, however, have more than just an economic resource - people foundation – there are also social and environmental benefits that such 74 investments bring with them. Good public transportation and a well-developed network of pedestrian paths and bicycle lanes are good not just for attracting qualified professionals, but they also provide easier and more affordable access to opportunities for the poor, and they bring net benefits to the environment by discouraging car use. The discussion below includes a more in-depth assessment of the “quality of life” concept and further outlines a number of recommendations for improving quality of life in Romanian cities. Urban ideology and the problem of overall sustainability During communism, cities in Romania were thought of, and designed as, places During communism, of opportunity, not comfort. These days, they are associated with polluted air, cities in Romania were noise, crowdedness, vehicle congestion, barren and often off-putting concrete thought of, and designed environment, etc. But urban spaces in Romania have not always been so as, places of uncongenial. With few exceptions, towns used to grow organically, in virtue of opportunity, not everyday human interests and activities, and in most cases their structure comfort continued to unfold well into the Industrial Revolution. A number of major historical changes (e.g., the demographic explosion, scientific and technological progress, accentuated industrial and commercial growth, and the rise of the national state) put urban development on a different path. Planning was called for to accommodate the abrupt increase of the urban population, and planners tackled the task by conceiving big buildings and large boulevards; states began to project their power through grand urban-architectural visions; and cars gradually took over cities (especially after World War II). Yet human needs have not essentially changed over a century. Contrary to images of modern life, people still need to socialize, to easily gather in informal groups, to hear one another without having to raise their voices in ordinary conversations, to breathe clean air, to play with their kids outside, to be with one another in public spaces, to walk and run, to have the visual comfort that the natural, traditional architecture and space organization used to provide, to feel safe and secure on the streets, etc. The trends that have shaped urban development and public space — especially in the post-war times — cannot be sharply dissociated from the The conventional way of historical conditions of development itself, but their inadequacy has become coping with the increasingly clear over the last three decades. The conventional way of coping problems of urban with the problems of urban development has proved to be unsustainable. development has Constructing and modernizing underground passages and bridges, enlarging proved to be streets to facilitate car traffic, erecting more vertical, modernist, and utilitarian unsustainable buildings — eventually, on land cleared by the demolition of items of traditional architecture or the destruction of parks — only compounds the problems of modern cities. Large agglomerations of charmless concrete-and-steel structures turn out to In the US, people move be very much exposed to social and economic storms, and not necessarily on from place to place in account of their size, but because they are uncongenial to human life. In the pursuit of not only job United States, whose inhabitants are highly mobile, there is a real market for opportunities, but also cities. People shop on this market by moving from one place to another in quality of life pursuit not only of job opportunities, but also of quality of life. There are certain “given” factors that enter into the largely ineffable equation of life quality: climate favors some cities (e.g., San Diego, Los Angeles), others cities take a lot of 75 cultural benefit from their historically significant past (e.g., Boston, New York), and yet other cities are famous for their sport teams (e.g., Dallas, Saint Louis, etc.). Efforts are continually made to complement these factors with improvements of city life in other respects, since high levels of quality of life are decidedly sought after by people and businesses alike. Not incidentally, the most The most innovative innovative businesses are extremely sensitive to the quality of life of the cities in businesses are extremely which they choose to locate. Cities with high quality of life indexes attract sensitive to the quality of educated and creative individuals, which in turn constitute workforce pools for life of the cities in which “smart” businesses. American city officials are well aware of the fact that poor they choose to locate quality of life, which goes hand in hand with growing negative externalities, can make a city vulnerable to vicissitudes. Many North American cities know the meaning of “golden days” as much as the meaning of “urban decay.” Inclusiveness as the “master value” of quality of life Some components of quality of life are more or less tangible (e.g., safety, health, Some components of ease and rapidity of transportation, quality of air and water), others are outright quality of life are more intangible (e.g., sense of security, beauty, liveliness), but their overall effect can tangible, other are be evaluated in terms of inclusiveness. By making a city more inviting, these outright intangible factors allow people to develop a sense of community with their neighbors and, 11 generally, to feel more at home in their city and to participate to city life. The recent, headline-making bankruptcy of Detroit was preceded by a whole series of failures of the city to be open to its entire population after the 1967 riots. Most Romanian cities also have “inclusiveness” issues. City centers have become less accessible to people who cannot afford to own cars; people with means have been given license and opportunities to build erratically (a phenomenon that often reduced the aesthetic quality of central areas and Most Romanian cities disfigured places of reference, in addition to spurring sprawl); and new also have “inclusiveness” developments added to the fragmentation of life in the city. After a day of work, issues – e.g., they have the average Romanian city inhabitant has to navigate among stray dogs; narrow become less accessible and crowded sidewalks, frequently stifled by parked cars; endless traffic lights; to people without cars and numerous crossings. After arriving home, there is little of which he or she can do in terms of entertainment and relaxation other than spending time with the family, watching TV, and using socialization substitutes: the phone and the internet. Nice restaurants, bars, and cafes are to be found mostly downtown, and they are not (financially or otherwise) easily accessible to everyone. Few neighborhoods offer good nearby opportunities to spend time with others. As the experience of quite a few cities in the developed world demonstrates, people do not actually seek isolation from others. When offered the opportunity, they follow their cities’ invitations to meet and be active in open public spaces. Individuals do not naturally isolate themselves in their homes unless they already feel isolated. The contribution of personal motives to one's isolation and the possible socio-economic causes of isolation as a collective phenomenon (e.g., unemployment, racism) are not to be understated; but there is a great deal that city officials can do to make people feel that they belong to a city, as opposed to merely living in a city. Being part of immediate and extensive community circles 11 The idea that the soundness of a city’s development depends on the ways in which the city planners and authorities manage to invite people to attend the life on the streets is taken from Jan Gehl’s book, Cities for People, Island Press, Washington, DC, 2010. 76 is a profound human need for which the satisfaction of belonging to a family unit does not compensate. If it is true that an economy is the sum of its people, it is no less true that the creativity and the dynamism of a city's life are directly tied to the totality of that city's residents. It is a perhaps ironic that most planners and public servants have to discover the value of inclusiveness (which is an aggregate of all of the quality Many decision-makers of life factors) relatively long after the management of private companies have yet to learn that it realized that work space and time can be organized in ways that increase pays off to think of the productivity by reducing stress and by making people feel that they belong to a cities they manage as common project (Google may be the most emblematic case of a company that cities for people radically re-configured work environment, but it is definitely not the only one). As stated earlier, the ideas of conventional urbanism embed at best a very indirect interest in quality of life as such. Many decision-makers have yet to learn that it pays off to think of the cities they manage as cities for people. Urbanism, outside the box Even if it cannot be denied that large cities face specific problems due to their size, a new kind of thinking in urbanism succeeded to produce – in a number of cities worldwide (Copenhagen, Barcelona, Sydney, New York, etc.) – changes that amply show that: (a) much can be done with respect to quality of life in large cities, whose size is perfectly compatible with high quality of life indexes; (b) the specific problems of big cities have been gravely exacerbated by the conventional modes of addressing those very issues. In fact, what the new kind of urban thinking proposes is to do away with the conventional solutions, devised from the “aerial” point of view of the planner or a rchitect looking down at a plaster model, and instead to adopt the viewpoint of the individuals living in the city. In what follows, the principles of two representative currents of the new thinking are presented and brought to bear in looking for ways to improve the quality of life of the residents of Romanian cities. New Urbanism is a movement born from a grassroots reaction to the car- oriented development of cities in the United States. It targets policies that have The new urbanism is led to the explosion of the suburbs in the U.S. (a phenomenon known as “urban a movement born from sprawl”). These measures have been implemented originally to fluidize the ever- a grassroots reaction to growing flow of cars by separating residential areas from commercial areas and the car-oriented work areas, respectively. Their result, however, was that single-family home units development of cities in have spread over vast surfaces of land around city downtown areas, whose the United States default function has since been to concentrate tall, vertical buildings of private offices and public institutions. Among and within sprawl areas, heavy networks of streets and roads without sidewalks have developed to link homes to scattered compact commercial zones. Against this wasteful kind of development, which negatively affected the hearts of many American cities, New Urbanism pleads for the restoration or recreation of the old neighborhood centers so that cities can become accessible to pedestrians and bikers. The idea is to integrate buildings with different usages (e.g., stores, offices, mixed residential buildings) within the confines of a perimeter that ideally passes the “popsicle test”: whether an “eight-year-old child in the neighborhood is able to bike to a store 77 and buy a popsicle without having to battle highway-size streets and freeway- 12 speed traffic.” More specifically, this current advocates for: (a) a return to the traditional design of urban spaces – that is, to the cities consisting of entirely walkable neighborhoods, with clearly delineated centers, which existed before the rise of the automobile; and (b) coherent connections among high-density, mixed commercial and residential areas aimed at encouraging the use of public means of transportation. These concerns are reflected in the two main conceptual directions of the New Urbanism: Traditional Neighborhood Design, or TDA, and Transit-Oriented Development, or TOD. Figure 48. Directions of the New Urbanism: TDA and TOD principles List of selected TDA principles: 1. Sidewalks are wide to entice walkers; streets are narrow to slow traffic (vehicle speed between 10 and 20mph); 2. Sidewalks are laid out in a grid pattern to provide easy access to neighboring streets and areas; they are also shaded by trees; 3. Buildings are close to the streets; 4. The neighborhood has a discernible center; 5. There is a variety of dwelling types: houses, townhouses, apartments; 6. Shops and offices line up at the edges of the neighborhood, minutes away from the center—within walking distance; 7. The taller buildings lie behind the smaller ones; 8. Children can walk to school and play around the house; 9. Parking lots and garages hide behind the buildings facing the streets. Emblematic principles of TOD: 1. A string of integrated means of mass transit (bus, tram, subway, train, etc.) connects suburban communities surrounding nodal transit stations; 2. TOD communities:  are organized such that (a) the high- and medium-rise residential buildings are situated alongside the transit lines, with progressively lower-density zones spreading outward; and (b) the closer to the transit corridor, the narrower streets are—roads being pushed to the periphery;  include buildings with various uses, shops and offices are reachable by foot in a matter of a few minutes;  have excellent pedestrian and bike links;  have small recreation areas;  are located within a radius of 400 to 800 meters from a transit stop; 3. Pedestrians crossings facilitate the flow of people near the transit stops; 4. Public transportation allots room for the transportation of bikes; 5. The efficiency of the system of mass transit is ensured by its good organization. 12 Congress for New Urbanism, http://www.cnu.org (Founded in 1993, the Congress for the New Urbanism is the movement’s official organizing body.) 78 Jan Gehl is a very influential Danish architect and specialist in urban design; he inspired a whole new philosophy of urban development. He perhaps takes an even deeper interest in the qualitative aspects of city life than New Urbanism. So to speak, if New Urbanism’s reaction to sprawling and to policies that encourage reliance on cars comes with strong intuitions concerning the improvement of the quality of life, Jan Gehl’s approach is guided by the perspective of the life of the average city dweller. His way of seeing the city is intimately and directly informed by his concern for life. Gehl proposes a piecemeal method whose stages invariably begin with studies anchored in what he calls “the human dimension”: “Gehl advocates a sensible, straightforward approach to improving urban form: systematically documenting urban spaces, making gradual incremental 13 improvements, then documenting them again.” He perfected and successfully 14 applied this method while working on many projects around the world. Relevance to Romania’s case The question is whether the new wave of urban thinking is relevant to the Romanian context and if its conclusions are applicable to the situation of the country’s cities. A more detailed and in-depth discussion on the Romanian spatial Romania appears to be planning system is included in the Enhanced Spatial Planning report. entangled in a complex First, Romania appears to be entangled in a complex developmental and developmental and architectonic context, carrying the burden of its communist past, which, at the architectonic context same time, looks far too dissimilar to the contexts in which these relatively recent trends emerged. Urban sprawl, to which New Urbanism reacts, is a phenomenon that is quite specific to North American cities. Moreover, the history of the development of Romanian cities bears little resemblance to the history of the development of US and Western European cities, which, in spite of all their problems, have not known the “systematization” of the communist times: entire villages and neighborhoods demolished, towns and neighborhoods constructed from scratch in conformity with strict ideological principles, etc. In particular, Europe’s cities have preserved much of their old structure and traditional charm. They can both inspire wholesome urban philosophies and allow sound restorative measures. 13 Cities for people—a blog by Gehl Architects: http://gehlcitiesforpeople.dk/about/jan- gehl 14 Among the projects carried out by Jan Gehl, it is worth mentioning:  Study regarding the quality of the public realm in London, commissioned by Transport for London and supported City of Wakefield and the town of Castleford in developing and delivering better public spaces, as part of an initiative known as “The Castleford Project”. (2004)  Project commissioned by the New York City‘s Department of Transportation, aimed at re-designing NYC’s streets to improve life for pedestrians and cyclists. The DOT used Gehl’s work to “directly inform” the implementation of their new urban planning and design policies and projects (2007-08).  Public Life studies for the centers of Australian cities of: Melbourne (1994 and 2004), Perth (1995 and 2009), Adelaide (2002), Sydney (2007), and Christchurch. In 2010 Gehl was hired by the Hobart City Council to prepare a design strategy for the city of Hobart, Tasmania. Also, Copenhagen’s Strøget car free zone, the longest pedestrian shopping area in Europe, is primarily the result of Gehl’s work. (Ibid.) 79 Some of Gehl’s findings regarding what enhances city life and how to invite people into the city: 1. To a large extent, the quality of life consists of the possibility of people’s enjoying one another’s company: not only engaging in determinate, planned activities, but also “watching what is happening,” chance meetings, simply seeing each other and being seen, “hanging out,” etc.; 2. Life happens where people are: an uninviting place is a place where nothing can happen, because people are attracted by the potential of “happenings”; 3. Places designed without heed for the human dimension are lifeless: high-rise buildings that “strain” our field of vision (instead, the eye level should be favored), unnatural sequence of streets, large boulevards that make impossible human closeness, isolated alleys between tall, uninteresting buildings, needlessly vast recreational areas; 4. Density is compatible with liveliness; in fact, liveliness requires reasonable density; 5. Safety is greater in places with higher human density (and fewer cars); human presence is comforting and increases the sense of security; 6. Large streets with narrow sidewalks encumbered by numerous obstacles, that give access to garages and parking lots, frequently interrupted by zebra crossings, are not the result of a natural development: they discourage pedestrians and bikers while inviting cars; 7. Plans should not be conceived with pre-conception regarding the functions of a corner of the city; they should be based on previously discovered and understood functions; 8. Types of space organization and architecture directly determine types of flow: dispersion vs. concentration; speed; narrow vs. wide; also, the richness of detail present in a place is tied to the speed of perception—“car streets” are less interesting and informative than “people streets”; 9. “Soft edges” (i.e., pleasing building façades, sequences of colorful shops and cafes, architectonic style, windows, wall recesses, etc.) have a major influence on the visual quality of the urban environment. While it is hard to deny the important differences in development styles between Romanian cities and the cities of Western Europe and North America, there are significant resemblances, too. Most large Romanian cities have typical European historic centers that can constitute departure points within an “out of the box” city rehabilitation strategy. Although many such centers have seen much better days, others are pretty well preserved. As for urban sprawl, in Romania the phenomenon has not occurred on a scale comparable to the U.S.; still, it is in an incipient phase, and there are things to be learned from New Urbanism’s studies concerning ways to limit it and to channel suburban development along manageable lines. A more in-depth discussion on limiting uncontrolled urban expansion is included in the Enhanced Spatial Planning report. The historical causes of Romanian sprawl are unlike the causes of the U.S. sprawl, but the effects are similar. In Romania the poor quality of city life represents a strong incentive for the better-off families to move to the suburbs, and the sprawl phenomenon can be expected to gain momentum as the country develops. The thinking of New Urbanism, Gehl and his followers, and others, does not aim to limit freedom. On the contrary, it aims to redefine it in accordance with a comprehensive understanding of human life that builds on citizenship and the 80 human dimension. It is up to spatial planning laws to identify how to best accentuate the positive dimensions of urban development, while attempting to curb the negative ones. It is up to spatial planning institutions to enforce those laws and to devise local plans that encourage improvements in quality of life. The Enhanced Spatial Planning report provides a longer list of recommendations for improving the quality of life in Romanian cities. The following section will discuss a few of those in more detail. Cities for people vs. cities for cars Whereas in the Western European countries cars are taken out of the cities (or at Whereas in Western least out of the central areas of cities), in Romania authorities hardly manage to European countries cars remove cars from sidewalks. There is almost universal agreement that Romania’s are taken out of cities, in cities are confronted with very serious car traffic problems. Because under Romania authorities communism cities were designed with public transport in mind, and because car hardly manage to ownership has risen significantly in most Romanian cities, streets and sidewalks remove cars from are perpetually congested. Under communism, street-grids were not designed to sidewalks handle the current traffic and few parking spaces were constructed in usually quite dense neighborhoods. After 1989, the authorities’ tendency was to think of these problems in terms of congested flows that need to be eased. The problems are familiar:  traffic is often slow because there are just too many cars in the city;  in fact, the number of cars is so great that there is not enough parking space for them, which means that cars are parked on sidewalks (not only around high-rise residential buildings in peripheral neighborhoods, but also on central streets);  car traffic slows down buses, trolleybuses, and trams, which therefore cannot keep their schedules;  a large number of accidents occur on the streets of Romanian cities compared to the number of accidents that happen outside of cities;  especially the largest cities are badly polluted with exhaust gas and noise; cars also contribute to the heating of these cities and are responsible for large percentages of city carbon emissions;  car traffic involves non-negligible, recurrent maintenance costs (road repair, replacement of traffic signs, etc.) and forces city officials to be on the lookout for ways of easing congestion, which also involve high costs. 81 Figure 49. Traffic accidents involving death or physical injuries in Romania Source: National Institute of Statistics Transport systems that favor private vehicles instead of transit and pedestrian Transport systems that traffic also tend to enhance social inequities, making it harder for poor and favor private vehicles marginalized groups to reach opportunities in the metropolitan area. Other instead of transit and negative facts associated with dense car traffic are qualitative, hence less pedestrian traffic also evident: cars “uglify” the environment and diminish the degree of liveliness of tend to enhance social the city by reducing the individuals’ capacity to see each other, talk with each inequities, making it other, etc.; they incur hidden costs to the city and its residents (e.g., levels of harder for poor and pollution reflect in worse respiratory health; hospitals have to spend more for marginalized groups to phonic isolation; high levels of pollution and dust increase the consumption of reach opportunities in water, since cars, windows, walls, clothes need to be washed more often, etc.); the metropolitan area and they put additional pressure on residents. The authorities’ usual tendency is to resort to the same conventional ways of easing traffic: construction of parking lots and passages, widening of streets, deviation of traffic to certain streets, enforcing one-way streets, etc. However, besides being expensive, these solutions can at best take care of local congestion, and only in the short run, while aggravating all the aforementioned problems in the long run. Collateral efforts and regulations meant to attenuate these problems turn out to be patchwork; after all, they deal with the symptoms rather than the root cause. Dedicated bus lanes have been delimited to some city streets, but car drivers rarely respect them. The deterring factor of fines and punitive measures is weaker than the poor driving conditions that incentivize drivers to disobey traffic rules. In Bucureşti, high fences have been constructed around tram stations to protect pedestrians but, by making it more difficult to access the stations, the fences may have increased the risk of accidents. Ring roads built around the cities are steps in the right direction. Their role is precisely to keep heavy traffic away from the center. The same kind of thinking should direct plans to further free cities from car traffic—which is the only Strategies to remove effective, “holistic” way to address problems stemming from the presence of cars from downtown large numbers of vehicles on city streets. areas can be more Strategies to remove cars from downtown areas (instead of encouraging easily conceived and them, as before) can be more easily conceived and implemented in towns and implemented in towns smaller cities, but they are vital in large cities, where denser traffics have and smaller cities, but repercussions on inhabitants’ quality of life. Besides Bucureşti, no Romanian city they are vital in large is a large city by demographic standards. The next 7 cities in order of population cities 82 count (i.e., Cluj-Napoca, Timisoara, Iasi, Constanta, Craiova, Brasov, and Galati) have about 300,000 residents or less. Other important urban centers (Ploiesti, Oradea, Braila, Arad, Sibiu, Pitesti, etc.) have around 200,000 residents or less. Thus, in terms of size, most of these cities and towns are in principle walkable or have large walkable zones; yet most of these areas are waiting for the right policies to help them become appealing to walking, cycling, leisure activities, etc. A strategy for discouraging car use in city centers could include the following four stages: I. Identify a functional city center that can be restricted to traffic without much effort in the first phase of a gradual process. Ordinarily, such centers are naturally delineated; they consist either in a set of historic streets with nice houses, representative architecture, monuments, museums, shops, or in a zone preferred for leisurely activities (e.g., shopping streets or a boulevard bordered by mid- and low-rise buildings, with access to a park or a public fountain). Public institutions may or may not be located in this central space, whose natural functions are pedestrian and non-utilitarian. Working with residents II. Engage residents in identifying ideas for redevelopment. Engaging would ideally also seek residents early on is critical, as public spaces should be created with people to gather positive inputs in mind, and should be designed at a human scale. Working with residents and alternative visions would ideally also seek to gather positive inputs and alternative visions for for the areas that are the areas that are being re-developed. redeveloped III. Work to turn this center into a strictly pedestrian area. At first it might be reasonable to restrict traffic only on a couple of streets, but a long-term plan of expansion of the initial pedestrian area has to be conceived from the outset. This plan should include projects of progressive beautification and renovation (starting with the previously delimited center), works for the widening of the sidewalks of streets and boulevards surrounding the pedestrian area according to a well-thought map, solutions for the improvement of public transport connecting the pedestrian center to the rest of the city, and the construction of parking spaces at a distance from the center (so that the future expansion of the pedestrian area can be taken into account). Again, the expansion plan has to be very carefully thought out to include all the appropriate adjustments. For instance, the communication wires that in a lot of city centers hang from unsightly burdened poles will likely need to be buried in the ground as part of the beautification/renovation process. It is important to consult with the residents of the zones to be affected by the changes, so that the pace of these transformations has minimal impact on their activities. Also, planners have to go in the field to identify the natural life-functions supported by these streets. The purpose of changes must be to enhance existent functions, not to impose new ones from the vantage point of a city builder. The life-friendly zone need not be nicely shaped from an aerial viewpoint. Its geometry should be dictated by the viewpoint of everyday city life. The plan must be created with the 83 human scale in mind, in ways that meet the requirements of speed, rhythm, size, and diversity of normal human activities. IV. Gradually expand the pedestrian center to the next identifiable perimeter. This basically is an iteration of the two steps above. At this point, there is a plan for this expansion, but new studies have to be undertaken to see how well the first set of modifications have been assimilated and which streets should be integrated into the pedestrian zone based on new or evolving circumstances. The initial plan may be altered as needed. In addition, a well-connected network of bike and pedestrian-friendly islands A well-connected would offer residents more diverse pastime and meeting options. Permanent network of bike and partial traffic restrictions (e.g., street space rationing, seasonal restrictions on pedestrian-friendly certain streets, shared space) can also be considered in specific cases and islands would offer included in the general plan. (A more detailed list of recommendations is residents more diverse included in the Enhanced Spatial Planning report and in the TRACE (Tool for pastime and meeting Rapid Assessment of City Energy) energy efficiency studies, implemented in options Romanian’s seven designated growth poles – Brașov, Cluj-Napoca, Constanța, Craiova, Iași, Ploiești, and Timișoara.) Getting from point A to point B A plan for the improvement of public mobility in cities must be dependent on the Vehicle congestion measures aimed at inviting people outdoors by keeping cars from penetrating leads to the deterioration the city core. As noted, vehicle congestion leads to the deterioration of the of the performance of performance of mass transit systems. Furthermore, car traffic reduces pedestrian mass transit systems mobility in a number of ways: cars parked on sidewalks; intersections and pedestrian passages fragment trips from one point to another; wide roadways Car traffic reduces “push” pedestrians on the sides, on narrow sidewalks, and so on. As people who, pedestrian mobility in a in Romanian cities, have to find a space for themselves on the streets, cyclists number of ways – e.g., may be the most affected by traffic. Since in many parts of Romanian cities cars parked on sidewalks cyclists have to use the road, they are constantly exposed to the risk of accidents. Certainly, bike lanes have been made available in a number of cities, but, unfortunately, most of them do not fulfill their purpose because of poor design. In addition to being beset with obstacles, the new bike lanes either occupy a portion of the road, which narrows the roadway and tends to worsen traffic congestion, or take up a slice of the sidewalk, which further narrows the walking areas. There simply is no other space except sidewalks and roadways. Insofar as the effectiveness of walking, biking, and public transportation Solutions for increasing depends on the degree of car-free space on city streets, solutions for increasing public mobility must public mobility must correlate with the strategy for keeping cars out of correlate with the downtown and other areas. To the extent that the strategy does not directly strategy for keeping cars concern a certain peripheral area, planners can think of independent solutions out of downtown and for increasing mobility in that area. other areas But, generally speaking, factors related to quality of life are not exactly independent variables. It is to be expected that some of them are correlated, albeit at varying degrees: air quality, absence of noise, beauty of streets, the availability of open public/ green spaces, etc. However, at first sight, something like the quality of public transportation appears to be independent of air quality, beauty of the streets, etc. Imagining a peaceful, green, and beautiful city with a 84 very bad mass transit system does not violate common sense. Yet the figure below shows an interesting parallelism between bars representing differences (from one European city to another) in public perceptions regarding seven quality of life factors, including differences with respect to satisfaction with public transportation. Twelve cities have been selected, from East to West, for the sake of the argument, but the same approximate parallelism holds regardless of the selected cities, and regardless of their order. Surely, there are a few exceptions: (a) Sofia’s residents are more content with their city’s opportunities for outdoor recreation than Bucureşti’s residents, while Bucureşti wins regarding all the other indexes; (b) satisfaction with public transport goes up from Piatra-Neamț to Cluj-Napoca, whereas the other indexes go down; (c) perceptions of beauty and safety are exceptions with respect to the graphic positions of Torino and Paris (although in a different sense for each). Also, perceptions of quality are not to be equated with direct measurements of quality, even if factors like beauty and overall cleanness can be formally appreciated only via subjective estimates of perceptions. Still, this parallelism is remarkable enough to give us a sense of a sort of organic unity of the constituents of quality of life. Figure 50. Quality of life indicators in selected European cities, in 2009 Source: EuroStat A reasonable explication of this unity, which yields coherence to the notion of quality of life, is that certain deep factors underlie it. In other words, it is reasonable to suppose that most constituents of quality of life depend on, e.g., the population size and density of the city in view, the number of cars present in 85 the city, etc. More important, however, is the fact that the practical conclusion Since factors constituting remains the same, independent of the truth of our tentative explication: since quality of life tend to factors constituting quality of life tend to “stick together,” it makes sense to pay “stick together,” it makes attention to all factors within the same comprehensive strategy. And since, sense to pay attention to practically, for reasons previously presented, it is advisable to begin with an all factors within the effort to keep cars out of spaces that should be open to people, it makes sense to same comprehensive heed the opportunities created by this effort for improvements in the other strategy aspects of city life quality. Now, a survey of the reported time that people spend travelling to work constitutes a more objective measure of the degree of mobility in a given city. According to the figure below, Piatra Neamț and Cluj-Napoca fare very well in this respect: most trips to work take less than 30 minutes and there is a low percentage (5% or less) or people whose commute time is more than 45 minutes. This coincides with what the figure above tells us about Piatra Neamț and Cluj- Napoca, which do well compared to the European cities shown in the graph. In fact, Piatra Neamț excels with respect to most factors taken into consideration. Unfortunately, Bucureşti is another story—a story confirmed by a high percentage of people who spend 45 minutes or more of their lives every day to get to work. What accounts in part for this situation is, of course, the comparatively much larger size of Bucureşti. Cluj-Napoca and Piatra Neamț are comparatively much smaller cities, with significantly greater degrees of walkability. At the same time, mobility in Bucureşti looks bad when travelling times to work are compared across a few large European capital cities. The figure below shows that Bucureşti’s profile is atypical. The time-to-travel profile corresponding to these capital cities—other than Bucureşti—tend to take a More than 25% of normal Gaussian shape, indicating that most people spend average times to get people in București to work (i.e., 20-35 minutes) and that smaller, similar numbers of people need spend more than 45 either less than 10 minutes or more than 45 minutes to travel to their minutes commuting to workplaces. Even Paris, a city notorious for its traffic congestion, fares better work than Bucureşti. Although about 18% of Parisians get to work in 30 -45 minutes, only about 9% of them need more than 45 minutes, and another 9% of them more than an hour, to do the same thing. By contrast, in Bucureşti, the group of people who commute, on average, for 45-60 minutes represents 13.5% of the total, while the group of those who spend more than an hour every weekday on their way to work amounts to 13.1%. Bucureşti’s profile atypically stabilizes around 13% for times greater than 30 minutes. 86 Figure 51. Minutes per day spent travelling to work in 3 Romanian cities, in 2009 Source: EuroStat It is not because Bucureşti’s inhabitants prefer to travel by car that the city’s streets get congested and increase traffic lags and public transit delays. In fact, a significantly smaller percentage of people use cars to travel to work in Bucureşti compared to Piatra Neamț, although this percentage is only 2% less than the percentage of Berlin residents who drive to work, and Berlin counts almost two times as many people as Bucureşti. Amsterdam, with a population size similar to that of Bucureşti, also has fewer regular drivers than Romania’s capital city. Nonetheless, Bucureşti’s percentage of regular drivers is nothing uncommon; it is average. Moreover, the combined numbers of those who walk to work and public transport users is higher than the numbers of walkers and mass transit users in most other large European cities. The figure below shows that there are a high number of mass transit users and a relatively high number of pedestrians in Bucureşti. Again, walking trips fall in the category of short trips, which take up to 20 minutes. Figure 52. Minutes per day spent travelling to work in 5 European cities, in 2009 Source: EuroStat 87 Figure 53. Means of transport primarily used to commute in selected cities, in 2009 Source: EuroStat Interestingly, people in large European cities seem to depend on public transport for daily commutes to a higher degree, whereas people in smaller cities resort Local authorities in more often to private cars. Another interesting fact is that the use of bikes Romanian cities have decreases sharply in Eastern compared to Western and Northern Europe. In invested in bicycle Istanbul, Sofia, and the three Romanian cities included in the survey, the use of infrastructure and bikes is negligible. Cities like Copenhagen are aggressively pushing for an more and more people increased use of bicycles for daily commutes, and local authorities there hope have switched to this that by 2015, 50% of daily commutes in the city will be done by bikes. Local means of transportation authorities in Romanian cities have also invested in bicycle infrastructure in recent years, and more and more people have switched to this means of transportation. However, existing bicycle networks generally tend to be disconnected bits, which allow safe and comfortable use of this mode of It is important that local transportation only in parts of the city. authorities organize To encourage a more dramatic uptake of bicycle use, local authorities in pedestrian paths and Romanian cities should look to develop integrated bicycle paths to cover the bike lanes in a way that whole city. Moreover, these bicycle paths should be seamlessly integrated with does not dramatically pedestrian areas and the public transport network. For example, buses could be decrease the use of equipped with bicycle hangers, allowing bicyclists to use public transport on public transport for daily stretches of the city that are difficult to bike (e.g., uphill roads). At the same time, commutes it is important that local authorities organize pedestrian paths and bike lanes in a way that does not dramatically decrease the use of public transport for daily commutes, and by extension decrease the profitability of public transport Measures aimed at operators. Whenever possible, pedestrian paths and bike lanes should increasing the network of pedestrian paths and complement public transport use and be part of an integrated strategy aimed at bicycle networks should convincing people to use their cars less. be doubled by Obviously, measures aimed at increasing the network of pedestrian paths investments in the and bicycle networks should be doubled by investments in the extension, extension, upkeep, and upkeep, and modernization of public transport. While many people in Romanian modernization of public cities use public transportation for daily commutes (primarily because of transport 88 affordability), the quality of public transport has decreased in many places because of a lack of investments in recent years. Several cities (e.g., Constanţa, Braşov) have lost their tramway network (in some cases, an inherent consequence of loss in density, as explained below) and many have an old fleet of rolling stock. Because of the decrease in the quality of public transport, but also because of a wide-spread demographic decline, many cities in Romania have seen a dramatic decrease in the number of people who use public transport. As the figure below highlights, there are only four counties in Romania (aside from Bucureşti) that have seen an increase in the number of passengers transported since 1990 – Cluj, Iaşi, Sibiu, and Alba (the latter city is also one of the very few in the country with a metropolitan transport system). All the other counties have witnessed a decrease in overall public transport ridership and, in some counties, this trend has been dramatic – e.g., in Bacău, Caraş-Severin, or Hunedoara. The decrease in ridership cannot only be attributed to the deterioration of public transport networks (often caused by lack of funding, poor management, The decrease in public and an increase in private car ownership rates), but also to demographic decline. transport ridership Often this has led to a drop in urban mass densities, and to a dramatic decrease cannot only be attributed in the profitability of public transport companies. As was detailed in the to the deterioration of Enhanced Spatial Planning report, to be profitable, a tramway line should ideally public transport service areas with a minimum population density of around 90 people per networks, but also to hectare. In 1992, the City of Braşov had a density within the built mass of around demographic decline 101 people per hectare. By 2012, the density within the built mass had dropped to 52 people per hectare. This large drop in density, coupled with the demise of several of the cities’ large industrial platforms that were serviced by the tram lines, are arguably among the key factors that have led to the disappearance of Braşov’s tram network. A similar pattern can also be found among trolleybus networks, with cities like Iaşi, Suceava, or Constanţa having lost (some of) their networks over the past years. Of course, public transportation networks should not be revived or kept Public transportation running just for the sake of having them running. It is important to first do a networks should not be thorough analysis of urban transport systems and to determine what the best revived or kept running alternatives to private cars are (both in terms of impact and in terms economic, just for the sake of social, and environmental sustainability). For example, the City of Constanţa has having them running – it established that it would be much more economical to run a fleet of buses, than is important to first do a to run a fleet of buses, trolleybuses, and tramways. It was determined that thorough analysis and tramways, although more environmentally friendly than Diesel buses, require determine the best much higher costs. Moreover, maintaining and upgrading the tram network alternatives to private would is generally more expensive than simply buying new, more energy- cars efficient buses. The European Bank for Reconstruction and Development (EBRD) is now preparing mobility plans for Bucureşti and the 7 growth poles in Romania (Braşov, Cluj-Napoca, Constanţa, Craiova, Iaşi, Ploieşti, and Timişoara), with the aim of clearly determining transport needs and proper ways of addressing those needs. These mobility plans would ideally provide a set of alternatives (e.g., pedestrian paths, bike networks, public transport) to private car use. 89 Figure 54. Number of passengers transported by public transport (in 1,000) Source: National Institute for Statistics 90 These solutions should ideally be balanced and not sacrifice economic vitality for environmental sustainability. For example, making all the streets in a city center pedestrian may act as disincentive for people to live in the area, and it may make it harder for some businesses to establish there (e.g., because distribution trucks cannot enter). In addition, it is important to note that a sound transport system cannot be achieved in the absence of good urban planning. A city that grows in a controlled, A sound transport compact, and dense pattern will have a much easier time developing an efficient system cannot be transport system than a city that is uncontrollably expanding. It is almost achieved in the absence impossible to achieve good quality of life in cities without having sound urban of good urban planning planning regulations and institutions in place. The Enhanced Spatial Planning report treats issues pertaining to urban planning in more detail, and offers several recommendations for how spatial planning regulations could be used to guide urban growth in a sustainable fashion. The beautiful city A recent Canadian study relying on a large scale survey of community satisfaction A recent Gallup study conducted by Gallup found that four community characteristics figured done in Canada prominently on the list of satisfaction factors: (a) current economic conditions, identified a number of (b) beauty and aesthetics, (c) schools, and (d) ability to meet people and make factors that contributed 15 friends. Researchers also found that the data suggested “a much smaller role to community for individual level or personal characteristics in community satisfaction” and satisfaction: 1) current that the effects of various factors – such as age, gender, income, education, economic conditions; 2) length of residence stay, and home ownership – on community satisfaction were beauty and aesthetics; 16 relatively small. Interestingly enough, beauty came second in the expressed 3) schools; and, 4) preferences, after economic conditions. ability to meet people It goes without saying that economic conditions and the presence of good and make friends schools in a neighborhood have a deep impact on the quality of life of the people living in that neighborhood. But beauty and the ability to meet people are factors directly associated with the idea of quality of life. The latter factor is more concrete while the former is rather intangible. While one can have a good guess concerning the features that contribute to an environment conducive to social interactions, beauty seems to be impossible to capture by naming a number of attributes. Beauty is beauty. There is a sense that urban beauty is an all- encompassing quality, which might be just what makes it ineffable. A place perceived to be polluted or unsafe, or deprived of any trace of vegetation, or inhospitable to normal human activities, will likely not be perceived as being beautiful. Thus, the beauty of a square or street is a good indicator that it is fine 15 “The survey covered roughly 28,000 people across some 8,000 communities nationwide. This diverse sample reflects a full range of incomes, occupations, ages, races and ethnicities, household types, sexual orientations and education levels. The response rate was approximately 70.3 percent.” Florida R. et al. (March 2009) Beautiful Places: The role of perceived aesthetic beauty in community satisfaction, Working Paper Series: Martin Prosperity Institute; http://martinprosperity.org/2009/11/06/beautiful-places-the- role-of-perceived-aesthetic-beauty-in-community-satisfaction/ 16 Ibid. 91 from an urbanistic viewpoint. In what follows, this report makes a few general suggestions concerning ways that might bring more beauty to Romanian cities. Backed by an adequate plan to invigorate, adjust, and integrate a comprehensive public transportation system, a strategy to keep cars away from the city center as much as possible creates the circumstances favorable to the city’s beautification and deep opening to life. However, there surely are other necessary conditions for the possibility of making urban spaces appealing and propitious to human interactions, one of which is especially relevant in the Romanian context – namely, administrative efficiency. The recommendations offered here are not proposals to make radical and sudden changes to reverse the effects of the old orientation in urban planning. Changes to the appearance of a spot, street, corner, or square need to be gradual for at least three reasons: (a) they must be planned realistically; (b) they must occur in keeping with the strategy for dis-incentivizing car use in downtown areas and in the wake of improvements with respect to mobility in general; and (c) since changes in the urban environment are long-lasting and have far- reaching consequences, they must undergo thorough testing and be subjected to recurrent resident feedback. The questions one might want to keep in mind when thinking of ways to increase the quality of life of a certain place are: What gives this place value from a “quality of life” perspective and what would incr ease that value? Of course, most city areas have some utility function, but even places in principle dedicated to fulfilling a specific function have non-utilitarian functions whose value can be increased, and can accommodate new values. For example, a marketplace is a shopping place, but it is also a meeting place where people like to engage in conversations, and – in some cases – it is also a place of tourist interest. In many E.U. cities, marketplaces are organized so that people can meet and dine together affordably. Similarly, a subway station is more, and can be much more, than a place where people gather to wait for the next train. As a rule of thumb, the “quality of life” value of a place is indicated by its As a rule of thumb, the beauty and by the amount of human interaction that it affords. These two “quality of life” value features complement each other. If there is beauty, then the place is otherwise of a place is indicated by “alright”: clean, safe, quiet or free of unpleasant noises, etc. But some places are its beauty and by the beautiful without being proper places for interaction. Although people spend amount of human time with families and friends in very large parks or on bike trails outside the city, interaction it affords such places are not where they meet to socialize and hang out, see others and be seen by others, have conversations, etc. They are not places where “thi ngs happen.” A good city place is a place where people come to share in the beauty of the place and in one another’s company. But what can public authorities do to make cities more “inviting”? Many of Many of the measures the measures designed to beautify cities are known and have been used by local designed to beautify authorities throughout Romania. For example, rehabilitating the façades of cities are known and buildings, planting more trees, rehabilitating sidewalks, and providing good have been used by local street lighting, are simple measures that have already been proven to be authorities throughout effective in Romanian cities. The old city center of Bucureşti has come back to Romania life, with a number of targeted investments in the rehabilitation of the pedestrian network, of key historical buildings, and of the street lighting network. The area has undergone a dramatic transformation into one of the busiest places in Romania, generating estimated annual revenues of around 150- 92 17 200 million EUR. A similar strategy was adopted in the old city center of Cluj- Napoca, with several streets closed down to traffic and turned into pedestrian paths. Particularly successful has been the transformation of Piaţa Muzeului, which in the past mainly functioned as a parking lot for cars, and is now the city’s entertainment hub, with dozens of restaurants, bars, and pubs. Another strategy that local authorities should consider in an attempt to beautify their cities is the rehabilitation of historic centers. In addition to their historical value, old buildings benefit from an architectural style that is usually mindful of the human dimension and favors variety in detail, forms, and colors. Historic buildings tend to have soft edges, which turn the passer-by into an onlooker. These buildings belong to an undeclared treasure of Romanian architecture that silently imparts stylistic identity to cities. As such, historic buildings should be protected, maintained, and rehabilitated when necessary, as their worth goes well beyond their historic value. In addition to historical buildings, local authorities should also look to protect and expand green areas in the city. As human beings, we are hardwired to green. The view of grass, leaves, and flowers triggers a good feeling in us and gives us an impression of health. Large spaces without vegetation are desolate, depressing. Conversely, the green vegetation strengthens the sense of “outdoors.” Thus, although access to a large park or lake in the vicinity of a city is very beneficial to any urban population, small parks or green-surrounded playgrounds near one’s home, which one can see every day on their way to work, are even more important with respect to quality of life. The figure below shows the evolution of green space per capita in seven major cities, between 2000 and 2011. In spite of some fluctuations of the surfaces of green areas in Constanţa and Bucureşti, green space per capita has not changed much, except in Cluj-Napoca, where it tripled in five years, between 2005 and 2010 (mainly because of the city incorporated parts of surrounding forests within its limits and deemed them parks). Figure 55. Evolution of green areas (in hectares) per capita in major Romanian cities Source: National Institute of Statistics 17 www.digitv.ro 93 What is interesting, however, is that in 2006 the residents of Bucureşti were less satisfied regarding the availability of green areas than both the residents of Cluj- Napoca and those of Piatra Neamț, even if at the time Bucureşti had more green space per capita than either of these cities (see figure below). Figure 56. Satisfaction with green spaces in selected cities (synthetic index 0-100) Source: Eurostat In 2009, Bucureşti’s residents were still less happy about green areas than people It is critical for local in Piatra Neamț, in spite of their city maintaining the per capita advantage. But in authorities to see green the same year Cluj Napoca ranked almost the same as Bucureşti in the spaces, waterfronts, and satisfaction survey, exactly at the time point at which it had reached the same forests as part of an amount of green space per capita as Bucur eşti. This contrast between levels of arsenal that should be satisfaction and facts confirms the conclusion that more “usable” green spots, skillfully used to attract which people can see daily in their neighborhoods, count for more than much and keep people larger, but remote green areas. Although Bucureşti has great pa rks and lakes in its northern part, many parts of its neighborhoods are far from any green area, whereas Piatra Neamț is situated in a mountainous region where nature is visible from any corner of the city. Going forward, it is critical for local authorities to see green spaces, waterfronts, and forests as part of an arsenal that should be skillfully used to attract and keep people. Neighborhoods need green spaces to offer people respite from the daily chores; streets need trees to provide shade and softer edges; and cities benefit from having nearby forests and waterfronts that allow people to escape from the busy city life. Investing in quality of life does not necessarily make a city a successful economic hub, but it goes a long way in ensuring citizen satisfaction and in creating the conditions for attracting and keeping human capital. 94 Territorial Development – Solutions for Lagging and Leading Areas A discussion about territorial development is largely about leading and lagging A discussion about areas, how to better connect them and a how lagging areas can catch up to territorial development is leading ones. As this report underlines repeatedly, uneven development is an largely a discussion inherent part of every developing country’s experience. No country got to the about leading and developed stage without experiencing internal divergence first. The fact that lagging areas some regions develop quicker than others is a good thing because it allows for faster overall growth and generates more aggregate resources for addressing the country’s wide array of challenges. In development more broadly, the focus should shift from regions to people. It is not the lagging regions that policy makers should target interventions at, but But development rather at the people living there. Regions and economies are only as strong as strategies should shift their people are, and if people do not have access to opportunities, neither will the focus from regions these regions. As recent behavioral economics studies show, people tend to be to people most productive when they are engaged in activities that give them meaning – activities they enjoy, are good at, and believe there is room for continuous improvement. Often times, lagging regions cannot offer these kinds of opportunities. To take another illustrative example, suppose Ștefan enjoys cooking and wants to become a star chef. If he happens to live in a village in the North-East of Romania, he will have limited opportunities to hone his craft. However, if he has access to good information, cheap transportation, and good general schooling where he lives, he may decide to apply for a scholarship at a top culinary school in Paris. With a prestigious degree and plenty of recipes in mind, he then may decide to return to Romania. However, Stefan will not necessarily return to the village he left from because there he simply lacks a critical mass of people that will make opening a restaurant viable. However, a large city like Bucureşti may offer both the critical mass, and a diverse enough group of people, to enable him to start his business there. This story applies to countless other people living in lagging areas. All of them have hopes and dreams, and all want better lives for them and those close to them. They yearn more than they have and they have ambitions that define them as people. One of the key attributions of public institutions is to help these individuals achieve the goals they set for themselves, and there are several ways the government can accomplish that: 1. By providing good institutions that will allow everybody a good head start and a solid basis for personal growth (e.g., a well-educated person typically has a much wider array of options in life than a person without education); 2. By enabling people access to opportunities, both within and outside the country; and, 3. By targeting assistance at groups that face certain disadvantages (e.g., they are discriminated against and do not have the same access to opportunities as the general population). Naturally, a discussion about leading and lagging areas should start with a good understanding of these regions. The next sections provide a quick overview of the lagging regions in Romania and describe the ways in which people living 95 there could come closer to the living standards and opportunities enjoyed by people from leading areas. Romania’s lagging regions The EU has a very simple and straightforward way of defining lagging regions as The EU defines lagging any region that has a GDP per Capita that is lower than 75% of the EU average. regions as those that Data for 2009 (the latest year when such data were available) show that all but have a GDP per Capita two counties in Romania were lagging EU counties. Bucureşti and Ilfov are the lower than 75% of the only two exceptions that had a GDP per capita above that threshold, and they EU average. A simple are now actually above the EU average (meaning they have become economic way of defining lagging engines for the EU). regions within Romania, Knowing which counties in Romania are lagging according to EU standards would be to identify can help target EU structural funds, as only lagging areas are eligible for such those regions that have funds. However, deciding how these funds will be used within Romania requires a GDP per Capita lower a more detailed approach. Most importantly, there are stark differences than 75% of the between various regions in Romania, with some having caught up faster to the country’s average EU, while others have fallen behind in recent years. To keep with the EU methodology, lagging regions within Romania could be defined as those regions that have GDP per Capita lower than 75% of the country’s average. The map below indicates where these regions are located – mostly counties situated along the Northern, Eastern, and Southern border of Romania. These are areas where relatively little cross-border trade happens, and areas that lack large economic growth centers. As shown in the previous sections, the most developed regions in Romania form a bridge (a “development bridge”) between Bucureşti (the economic heart of Romania) and the West of the country. Timiş and Cluj, which are home to large economic centers (Timişoara and Cluj-Napoca), are second in line after Bucureşti based on their GDP per Capita level, and have been two of the most dynamic regions in the country. They have already benefited from having cities with economic mass and from being close to the West. Braşov, Sibiu, Bihor, and Arad have also benefited from their proximity to the West. At the other end of the country, Constanţa has benefited from having the largest port on the Black Sea and easier access to world markets. Throughout the world, other methods of defining lagging regions have been developed. Largely, most authorities focus on some measure of welfare (e.g., wages or household consumption) to assess which regions require particular attention. Household consumption data usually comes from household survey and can be coupled with census information to produce detailed poverty maps. However, consumption data is often hard to obtain, and national censuses are implemented every 10 years, making it hard to assess the situation on a year-to- year basis. 96 Figure 57. Romania's lagging regions Data Source: EuroStat Data on wages are more readily available, and often give an impression of where people are better off and where they less so. In general, however, this measure is Wage data offers an often considered to be unreliable, as it captures only a limited facet of a inconclusive picture of country’s economy. Most importantly, at the locality level, wage data tell an leading and lagging inconclusive story. regions As the map below indicates, there is no discernible pattern of where people are better off. The reason for this fuzzy picture is simple: in localities that are more sparsely populated, one company can raise the wage average for everybody. For example, if only three people have employment contracts in that locality (a situation quite common in many rural areas) and they are employed by a company that pays relatively high wages, that locality may show up on the map as being quite developed. Similarly, there may be localities where people make a good living out of agriculture, but do not show up in statistics as having any income. As such, they may be considered for social benefits although they may not necessarily require them. 97 Figure 58. Wage distribution by locality, in 2010 Data Source: National Institute of Statistics In reality, however, along with those three people that have employment contracts, there may be several hundred more in that locality earning a living out of subsistence farming. This is why consumption data is considered to be a better indicator of welfare, especially at this level of disaggregation. We can still aggregate wage data at the county level and see if a different picture emerges. Indeed, as the map below evidences, county wage data provides a similar pattern to the one provided by GDP per Capita data. However, 98 a marked difference appears. Namely, the South-West of Romania seems to be more developed when average wages are considered. Figure 59. Wage distribution by county, in 2010 Data Source: National Institute of Statistics We know from GDP data that these counties are relatively less developed than some of the counties in the Carpathian Arch (which in this map seem to be doing worse). We also know that these counties have relatively higher unemployment rates. Thus, the people who are employed may be earning higher wages, but the workforce as a whole can be worse off. An in-depth analysis of the economic structure of these regions may bring The Herfindahl Index (on inherent strengths or weaknesses to the fore. For example, the Herfindahl Index economic concentration) is used to measure how concentrated particular economic sectors are (i.e., how can give an indication of much of the revenues are generated by one large or a few large companies). the regions more prone Sectors that are highly concentrated are considered to be more prone to risk: to long-term risk when a dominant company goes bankrupt, the whole sector suffers. In the same vein, regions that have a high concentration of industries with a high Herfindahl Index are more susceptible to risks. A well-known example of how these risks can play out is Nokia. Much heralded when it decided to invest in Cluj, Nokia quickly established itself as the main exporting engine of the region, and one of the most important and largest companies in the country. Once it made the investment, the company brought a number of suppliers with it, and also took advantage of the some of the communications equipment manufacturers in the country. Its size dominated the 99 sector. If a sector has a Herfindahl Index above 0.25, it is considered to be highly concentrated. In 2010, the Herfindahl Index for the Manufacturing of Communications Equipment sector was 0.83. The fate of Nokia is well-known by Romanians. Once the crisis hit, the company suddenly decided to terminate its operations in in the country, leaving a huge hole in the sector. Similarly, other counties with a large share of highly concentrated industries have suffered greatest in the transition years – e.g., the counties dependent on resource exploitation (such as coal mining) or on large manufacturing enterprises. The maps below give an overview of the counties with a high share of highly concentrated sectors. Again, the counties in the South (especially Gorj and Olt) and those in the East emerge as prominent examples of concentration of economic sectors Figure 60. Counties with higher share of concentrated sectors, in 2010 Data Source: National Institute of Statistics and author’s calculations Moreover, highly developed counties like Argeş, Constanţa, and Cluj, seem to also be highly concentrated, pointing to potential structural weaknesses. For example, the disappearance of Nokia from Cluj’s economic map has not been captured yet in official statistics, and it is not yet clear how it has affected the region’s economy. Annex 5 gives a full list of highly concentrated sectors at the NACE 4 level. Largely, these sectors focus on resource exploitation and manufacturing. A Local Human Development approach to defining lagging regions The way lagging regions The way lagging regions are defined plays a very important role in how effective are defined plays a very policies targeting lagging regions are. More specifically, it is critical to have a important role in how good understanding of what constitutes a lagging region and where the lagging effective policies regions are located, as this will make it easier to develop tools for the targeting lagging regions development of these areas. For example, if one only looks at wages, are 100 consumption, or GDP, interventions in lagging regions will primarily be of an economic nature. Similarly, if these areas are not defined at a granular enough level, one might miss significant pockets of poverty. For example, Bucure ști-Ilfov is the most developed region in Romania, but there are very poor neighborhoods within this region (e.g., Ferentari, Rahova, etc.), which get “diluted” by the broader good economic performance. Dumitru Sandu, one of the leading sociologists in Romania, developed a way Dumitru Sandu, a of defining lagging regions at the locality level by using statistical data that is Romanian sociologist, readily available. The Local Human Development Index (LHDI) developed by has developed a method Sandu builds on the United Nations Human Development Index methodology, of measuring but adjusts it to provide a closer measure of local/regional development as an 18 development at the local expression of community capital. level – The Local Annex 9 provides the methodology that sits at the core of the LHDI. The way Human Development the index is compiled allows for the fine-tuning of public policies for lagging areas Index (LHDI) with respect to educational, healthcare, demographic, and welfare measures. The map below shows the LHDI at county level for 2002. Only București ranked as a developed region in that year and only the County of Brașov was among the upper-middle developed counties. The middle-developed ones included a number of counties in the center of country (Cluj, Alba, Sibiu, Mureș), in the West (Timiș), and close to București (Prahova). The poor and very poor counties were primarily clustered in the East and South of Romania. Figure 61. The Local Human Development Index, by counties, in 2002 Source: Dumitru Sandu 18 Emery, M., & Flora, C. (2006). Spiraling-up: Mapping community transformation with community capitals framework. Community Development, 37(1), 19-35. 101 The LHDI for 2011 shows a definite improvement in virtually every county in Romania. Basically, since 2002, every Romanian county has managed to make A comparison of the some progress, although some have moved faster than others. Most notably, LHDI for 2002 and 2011 București has moved up the ladder to become an upper -developed region, while show a definite Timiș, Cluj, Sibiu, and Brașov have become developed counties. Also, it is improvement in virtually important to note that most poor and very poor counties in the East and the every county in Romania South have managed to make the transition to lower-middle developed counties. While there still is some distance between these lagging areas and the more developed ones, the progress of the counties in the East and the South of Romania is undeniable. This is in line with the theory that a “rising tide lifts all boats” – i.e., the fact that some regions develop faster than others does not mean that others are left behind, quite the contrary (the good performance of leading regions has direct positive benefits for lagging regions). Figure 62. The Local Human Development Index, by counties, in 2011 Source: Dumitru Sandu The Local Human Development Index tends to correlate quite closely with overall 19 economic growth. The role of economic factors in explaining local human The LHDI tends to development is increasing as revealed by the comparisons of the relations of GDP correlate closely with per capita and LHDI in 2002 and 2011 (see figure below). Lagging counties are overall economic growth characterized by the fact that their human development level is lower than expected given their GDP per capita. The rate of converting economic production in well-being is lower than for the majority of the counties. At the other extreme, Brașov, Cluj, and Sibiu Counties have a very high human development score by a very good conversion rate of their economic production. Timiș County has higher 19 An increase in GDP/capita of one thousand RON is accompanied, on average, by an increase of LHDI, at county level, by 0.88 points. 102 level GDP/capita 2010 10 20 30 40 50 60 70 0 Bucuresti 61 102 Ilfov 41 89 Brasov 30 87 Cluj 31 87 Sibiu 27 84 Timis 37 83 upper developed Constanta 29 77 Prahova 22 77 Alba 25 76 Arges 26 76 development level is lower. slightly from economic ones Mures 19 76 developed Hunedoara 20 75 Arad 25 74 Iasi 20 73 Maramures 17 73 Dolj 19 73 Gorj 26 73 Galati 18 72 Bistrita-Nasaud 18 72 Satu Mare 17 72 Braila 17 72 Harghita 18 71 GDP /capita 2010 Bihor 23 71 Valcea 18 71 Covasna 17 71 upper-middle developed Dambovita 19 71 Caras-Severin 21 70 Suceava 14 69 Salaj 19 69 Bacau 17 68 Neamt 13 68 LHDI2011 Vrancea 15 66 Buzau 16 66 Human development category for the county, 2011 Tulcea 18 65 Mehedinti 15 65 Olt 15 63 middle developed Ialomita 17 61 Vaslui 11 60 Botosani 12 60 Calarasi 17 59 Giurgiu 19 58 Teleorman 14 56 Figure 63. Local human development is closely related to GDP/capita at county Figure 64. Leading and lagging hierarchies in human development diverge economic development than the above mentioned counties, but its human 0 20 40 60 80 100 120 lower-middle developed LHDI 2011 103 Even if the relationship between GDP/capita and LHDI is a close one, the configurations of the leading and lagging areas are different functions of the two criteria (Error! Reference source not found.): the most severe poverty is located in the North-East region by GDP standards and in South region by human development criteria; Again, Timiș County has a higher economic development level compared to Cluj and Brașov, but the human capital hierarchy is reversed. Having a high GDP/capita and a lower human development index could be an indication for a lower organizing ability to convert economic capital in well- being. The implication of this finding is that different classifications, from different points of view, are necessary in order to lay the foundation for policies. Dynamics in territorial human development The general level of local human development increased for all counties between The rise in the LHDI 2002 and 2011. The rise was much higher for urban areas than for rural areas between 2002 and 2011 (see Annex 10), with a high variation among counties. The disparity between was much higher for București and the poorest counties (Giurgiu and Teleorman) was of 33 points on urban areas than for the LHDI scale, in 2002. Ten years later, the same disparity reached more than 40 rural areas points on the same scale. The increase in regional human development went by clusters of neighboring or otherwise geographically close counties (Error! Reference source The increase in regional not found.). On a scale of seven points (from very poor to upper developed), all human development the clusters of counties moved up at least two categories of human development went by clusters of in ten years. The most spectacular upward mobility is that of Ilfov county, from neighboring or otherwise lower-middle developed in 2002 to upper-developed in 2011 (an increase of geographically close more than 30 points on the LHDI index). Its proximity to București and counties institutional cooperation with the capital city within the development region they are forming is probably the main reason for this important leap. Again, being close to places with large economic mass is beneficial, as development tends to spill over from these areas to neighboring ones. The high human development dynamics of Ilfov are also obvious if one looks at the increase in LHDI for all localities in the country (2002-2011): 12 of the 20 localities with the highest scores of increase on the human development index are from Ilfov (Corbeanca, Chiajna, Otopeni, Berceni, Tunari, Bragadiru, Snagov, Domnești, Voluntari, Balotesti, Clinceni, Mogoșoaia). The other four counties, outside Ilfov that entered the leading category between 2002 and 2011 are Sibiu, Brașov, Cluj, and Timiș. Acronyms are for the names of the counties (see Annex 10). Figures in parentheses indicate the average increase of LHDI between 2002-2011 for rural (R) and urban (U) areas in the cell category of counties. Averages are weighted by 2006 population numbers. For example, the counties of Botoșani, Vaslui, Giurgiu, Călărași, and Teleorman were poor in 2002 and reached the level of lower- middle developed in 2011. The medium increase in urban areas (16) was higher than the medium increase in rural areas (12). Neighboring counties with a similar pattern of growth are put on the same row in the cell, without a separating comma. A better understanding of the factors that contributed to higher rates of development could help devise the policies to reach a higher level of development in the future. 104 Table 10. The upward movement of Romanian counties on the scale of local human development, 2002-2011 Local human development 2011 Local human lower- upper- development very middle middle- middle upper 2002 poor poor developed developed developed developed developed BT VS IL very poor CL GR TR (R10 U13) (R12 U16) SV NT BC DJ VL , DB VR BZ BH , BR poor MH OT (R14 U17) SJ , TL (R12 U16) HD AD AG , CT IF HG CV (R16 U19) (R24 U31) lower-middle CS (R12 IS GL developed U14) MM SM GJ, BN (R13 U16) AB MS CJ SB middle PH TM developed (R13 U16) (R16 U19) upper-middle BV developed (R12 U18) developed B Local development dynamics in their (micro)regional frame The trend of extreme community capital – very high or very low – is a first indicator of the dynamics of local development. A simple comparison of the first 20 localities by human capital stock in 2011 compared to the first ones ten years before gives a good picture of the dynamics of more than 3,300 communes and cities in Romania during the 2002-2011 period. Eight out of the 20 most developed localities in Romania in 2011 are communes close to large cities: Dumbrăvița and Giroc around Timișoara, Eight out of the 20 Corbeanca, Chiajna and Mogoșoaia close to București, Valea Lupului near Iași , most developed Florești next to Cluj, and Corunca close to Târgu Mureș. Six small towns in the localities in Romania same category of most developed localities are loca ted in Ilfov, near București are rural localities close to large cities (Otopeni, Voluntari, Popești Leordeni, and Bragadiru), or are spas close to the Prahova Valley (Sinaia and Predeal). The large cities of Brașov, Sibiu, and Cluj- Napoca hold their position as leaders in territorial development from 2002. The key process in the dynamics of urban local leadership is the emergence of forerunners in the communes surrounding large cities (like București, Timisoara, or Cluj-Napoca) or of small towns in the proximity of large cities. Only two communes (Cristian from Brașov County and Dumbrăvița from Timiș) were in the top twenty developed localities in 2002. Their number increased to eight by 2011. All the large cities that were in a leadership position in 2002 maintained their spots in the top. 105 Table 11. Community leaders and laggards in the Romanian system of local human development Most developed localities in 2002 Most developed localities in 2011 New Rank LHDI 2002 Rank LHDI 2011 leaders 1 Brasov ORAS PREDEAL 91 1 Timis DUMBRAVITA 140 2 Sibiu MUN. SIBIU 86 2 Ilfov CORBEANCA 128 ← 3 Prahova ORAS SINAIA 85 3 Ilfov ORAS OTOPENI 114 ← 4 Cluj MUN. CLUJ-NAPOCA 84 4 Ilfov ORAS VOLUNTARI 113 ← 5 Timis DUMBRAVITA 83 5 Ilfov CHIAJNA 113 ← 6 Alba MUN. ALBA IULIA 83 6 Ilfov ORAS BRAGADIRU 108 ← 7 Prahova ORAS BUSTENI 82 7 Ilfov MOGOSOAIA 107 ← 8 Brasov CRISTIAN 81 8 Cluj MUN. CLUJ-NAPOCA 106 ← 9 Bistr.Nasaud MUN. BISTRITA 81 9 Timis GIROC 105 ← 10 Arges MUN. PITESTI 80 10 Iasi VALEA LUPULUI 105 ← 11 Gorj MUN. TARGU JIU 80 11 Cluj FLORESTI 104 ← 12 Salaj MUN. ZALAU 80 12 Sibiu MUN. SIBIU 104 13 Brasov MUN. BRASOV 79 13 Mures CORUNCA 103 ← 14 Dambovita MUN. TARGOVISTE 79 14 Brasov ORAS PREDEAL 103 15 Prahova MUN. CAMPINA 78 15 Mun.Bucur. MUN. BUCURESTI 102 ← 16 Harghita MUN. ODORHEIU SECUIE 78 16 Alba MUNICIPIUL ALBA IULIA 102 17 Mures MUN. TARGU MURES 78 17 Brasov MUN.BRASOV 101 18 Brasov ORAS RASNOV 77 18 Ilfov ORAS POPESTI LEORDENI 101 ← 19 Constanta COSTINESTI 77 19 Timis MUN. TIMISOARA 100 ← 20 Maramures MUN. BAIA MARE 77 20 Prahova ORAS SINAIA 100 Poorest 20 localities in 2002 Poorest 20 localities in 2011 New extreame LHDI 2002 LHDI 2011 poor Giurgiu TOPORU 10 Teleorman NECSESTI 21 Giurgiu RASUCENI 11 Giurgiu RASUCENI 21 Teleorman VARTOAPE 12 Vaslui ALEXANDRU VLAHUTA 21 ← Vaslui COROIESTI 12 Mehedinti POROINA MARE 23 ← Mehedinti PADINA 12 Giurgiu SCHITU 24 Dolj SALCUTA 12 Teleorman SLOBOZIA MANDRA 25 ← Mehedinti POROINA MARE 14 Giurgiu TOPORU 26 Calarasi SOHATU 14 Ialomita BRAZII 26 ← Teleorman NECSESTI 14 Dolj SEACA DE PADURE 26 Vaslui BLAGESTI 15 Mehedinti VLADAIA 27 ← Vaslui VOINESTI 15 Botosani CORDARENI 27 ← Giurgiu STOENESTI 15 Botosani MITOC 27 ← Harghita SACEL 16 Ialomita SARATENI 27 ← Calarasi ULMU 16 Ialomita VALEA MACRISULUI 28 ← Teleorman BALACI 17 Teleorman SACENI 28 Dolj SEACA DE PADURE 17 Vaslui ARSURA 28 ← Giurgiu SCHITU 17 Bacau FILIPENI 28 ← Cluj BOBALNA 17 Teleorman SFINTESTI 28 ← Teleorman SACENI 18 Calarasi VLAD TEPES 29 ← Cluj AITON 18 Dolj LIPOVU 29 ← The 20 laggards, by contrast, are all rural, at the level of both 2002 and 2011. In fact, on the LHDS scale for 2011, the poorest urban area (Flămânzi, from Botoșani County, with a population of 12,000) ranks 769 in a top where 1 represents the poorest locality and 3,059 represents the richest one. In both recorded years, the largest number of very poor communes comes from counties in the South of Romania (e.g., Teleorman, Giurgiu, Călărași, and Ialomița). 106 Regional effects in rural local development One of the key problems for Romanian territorial cohesion is the lasting disparity One of the key problems between living standards in the countryside and in urban areas. The infant for Romanian territorial mortality rate was constantly higher in rural areas by about 4-5 per one thousand cohesion is the lasting people (see figure below). Why so large, why so lasting? Part of the answer, disparity between living which is of high interest to public policy, is related to the factors explaining rural standards in the local development. countryside and in urban areas Figure 65. A long lasting territorial disparity in Romania between urban and rural infant mortality rate, 1990-2011 29.7 35 27.2 26.4 25.8 25.7 25.6 30 23.9 23.3 25 21.5 20.9 20.8 19.9 19.8 19.4 25 17.9 17.1 24 20 14.1 12.6 12.3 14 11.8 20.8 20.1 19.7 19.6 18.5 18.5 15 18.2 17.3 16.1 15.6 15.2 14.5 14 13.7 10 12.4 11.2 10.2 8.5 5 8.1 7.7 7.5 0 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 Urban Rural The dynamic of human development for rural communities is dependent on their population composition, accessibility to urban growth centers, micro-regional communication facilities, and general development of the regions they are part of or close to. Distance, density, and division are basic conditions for territorial 20 development of rural areas. Regional location is highly relevant for the development of rural localities in The most developed Romania. The most developed ones are located closer to a large city and a rural localities are modernized European road and situated in hilly or mountain areas (see annex located closer to a large 11). Human capital poverty, measured here with respect to education, health, city and a modernized vital, and material capital, is usually related to a longer distance from cities with a European road large number of inhabitants, lower accessibility to European roads, and location in plain areas favoring low incomes from agriculture. Migration and commuting to neighboring localities has, generally, positive Migration and effects on rural development: more developed communes have more temporary commuting to emigrants abroad, higher number of immigrants on their territory, and a larger neighboring localities 21 rate of commuters to urban centers. The only form of migration with a negative has, generally, positive correlation with local development is return migration. Specifically, communes effects on rural with a larger rate of returned migrants from other localities of Romania are less development 20 See World Bank. 2009. World Development Report 2009: Reshaping Economic Geography 21 The relation is especially valid for communes from North-East, South and North-West development regions. 107 developed. The fact could have a double explanation. On the one hand, return migration in rural areas from urban communities contributed to the increase of local unemployment and, implicitly, to a growth in poverty. On the other hand, poverty itself favors higher emigration, a precondition for return migration. Ethnicity is not a relevant factor for communes’ development. Larger shares of Hungarians do not bring a significant impact on human development, but a large proportion of Roma goes together with a higher poverty rate of the 22 commune. Irrespective of all these factors, higher demographic size goes hand in hand A higher demographic with a higher development rate. Poor rural localities tend to be smaller. The size goes hand in hand finding is a basic reason to recommend administrative policies to contribute to with a higher reducing the demographic fragmentation of communes in Romania, as is the development rate need to consolidate local budgets and reduce dependency on transfers from the national budget (as explained earlier). A rising tide lifts all boats While the distance between leading and lagging areas in Romania is growing, it is The good economic important to note that the good economic performance of leading areas performance of leading ultimately spreads to lagging areas too. This was evidenced by the county LHDI areas ultimately spreads maps above, and things become that much clearer when looking at the LHDIs to lagging areas too maps computed at the locality level (see below). Figure 66. The Local Human Development Index at the locality level, for 2002 Data source: Dumitru Sandu Note: The blank spots indicate localities for which no data was available 22 If one considers only the communes from Central region, one records lower development for localities with large share of Hungarians. 108 Figure 67. The Local Human Development Index at the locality level, for 2011 Data source: Dumitru Sandu Note: The blank spots indicate localities for which no data was available It is clear that most localities in Romania have undergone a dramatic change in Although much of the the past decade. Although some have grown faster than others, almost all have economic growth in the shared in on the growing prosperity in the country. Although much of the country was enabled by economic growth in the country was enabled by a small number of economic a small number of engines, most localities have benefited from this growth. This again comes to economic engines, most underscore that a growing distance between leading and lagging areas is not a localities have benefited bad thing. A rising tide raises all boats, and leading areas generate additional from this growth revenues that can help drive development in leading areas. The maps above underscore another key element discussed earlier in the report: geography matters. Basically, the localities that were closer to the rich markets in the West have developed faster than those that were further away. Proximity to markets matter and improved accessibility to these markets is one of the key ways of driving development in the country. In addition to the rich markets in the West, localities seem to benefit from being close to rich internal markets. As the map below indicates, large urban Localities in Romania areas have a strong polarizing effect – the closer a locality is to such urban seem to benefit from centers, the more developed it tends to be. Thus, it is key to improve being close to rich connectivity to major cities in Romania. This can help drive the country’s Western and internal urbanization process, and it can help leading cities enlarge their demographic markets and economic mass. 109 Figure 68. Cities are key drivers of development in Romania Data source: Dumitru Sandu Note: The blank spots indicate localities for which no data was available Figure 69. Proximity to major connective infrastructure matters in development Data source: Dumitru Sandu Note: The blank spots indicate localities for which no data was available 110 The importance of good connectivity for spurring development in lagging areas is further underscored by the map below. This map shows that the poorest counties in Romania tend to be far away from major infrastructure. This in fact means that it is harder for people leaving in these areas to reach more developed places within and outside the country. Urban development can drive rural development Apart from being economic growth engines, cities also function as catalysts for development in less developed areas – particularly for rural areas that are close to these cities. Overall, as the discussion below will show, it is not the distance to the nearest urban neighbor that counts for the development dynamic of a certain rural locality but the whole configuration of urban population/distances that describe such a development context. A good description of urban connectivity for all the communes of Romania gives a view of the structural constraints and opportunities for local human rural development (see Annex 13). The simple diagram of the relation between urban connectivity of communes (IURCON) and their local human development index (LHDI) suggests that the poorest communes are in counties of low urban con nectivity (Calarași, Ialomița, Teleorman, Giurgiu, Mehedinți and Dolj). It is not only the urban connectivity per se that influences community poverty as there are also other counties with low urban connectivity but with considerably higher level of human development. This is the case of communes in western counties – Caraș- Severin, Hunedoara, Arad, Bihor, Satu Mare and Maramureș (see figure below). Several other factors compensate in their case for low urban connectivity of communes – proximity to more developed large cities (e.g., Timișoara, Arad, Oradea, Cluj-Napoca), a larger share of occupation in non-agricultural activities in relation with the higher share of hilly and mountains areas of their territory, or better external connectivity due to the proximity to Western markets. Counties such as Bacău, Iași or Galați, which are middle developed and are located in the east of the country, have a better urban connectivity but their rural development level is under the expected level. At the other extreme, counties with very high connectivity of rural localities to urban centers – Argeș, Prahova, Dâmboviţa, and Brașov – are at the same time rich in high developed communes. The general image in the figure below Urban connectivity and indicates the fact that urban connectivity and rural development are significantly rural development are connected but not in a linear way. There are clusters of neighboring counties that significantly have similar levels of human development and urban connectivity. These clusters connected but not in a are structured in such a way as to suggest that micro-regions in the west of the linear way country are more able to use all the opportunities their rural localities have from the configurations of urban connectivity and from proximity to the rich Western markets. On the other hand, micro-regions from the east and the south of the country are less able to fully take advantage of urban accessibility. However, the mere estimation of commune urban accessibility to the nearest cities of different sizes is not enough for designing and implementing sound policy measures. Real connectedness is a combination of distances, populations and institutionalized ways to overcome the disadvantages of separation and isolation. 111 Figure 70. Urban connectivity and local human development 2011 (averages for communes by counties) It is clear that the location of urban centers in the territory is such a powerful factor that it influences rural local development in many ways and should be considered as a constraint or challenge for rural local development. Policy interventions are especially necessary, according to data on connectivity, in some poor South counties – e.g., Mehedinți, Teleorman, Ialomița, or Călărași. A more analytical view on the topic by using locality level data (see discussion on gravity models) could refine the diagnosis and the suggestions for policy interventions. The data presented here confirm the expectation that urban connectedness of communes is a factor of development that counts irrespective of its components (i.e., the relative distances of communes to urban areas of different Urban connectedness sizes). An index of urban connectedness (IURCON) is built (see Annex 13) as a of communes is a factor geometric mean of the invers of commune distance to four categories of cities of rural development (very large, large, medium and small), weighted by a conventional demographic that counts irrespective size for each category of reference urban centers. of its components A list of leading and lagging communes from the point of view of the IURCON (see below) points out to typical examples. The best connectivity is enjoyed by Mărăcineni (6 km from Pitesti, 6 km from Mioveni, 46 km from Târgoviște, and 90 km from Ploiești) and Stoenești. The most poorly connected communes include Svinița and C.A. Rosetti. The counties of Brașov and Argeș record the 112 largest number of leading communes and Mehedinți and Hunedoara the largest number of laggards. Table 12. The most (left) and the least (right) connected communes in Romania Top 20 communes by COMURCON 20 lagging communes by COMURCON AG MARACINENI 5.1 AR SILINDIA 2.1 AG STOENESTI 5.0 AR IGNESTI 2.0 AG CALINESTI 4.3 CL CHIRNOGI 2.0 AG MOSOAIA 4.3 CS MEHADICA 2.1 AG BASCOV 4.2 CT DUMBRAVENI 2.3 BR VADENI 4.3 DJ VARTOP 2.2 BV SANPETRU 4.4 DJ BOTOSESTI-PAIA 2.2 BV CRISTIAN 4.3 HD CERBAL 2.3 BV HARMAN 4.2 HD BATRANA 2.3 BV TARLUNGENI 4.2 HD BUNILA 2.3 CV ILIENI 4.3 HD BURJUC 2.2 DB ULMI 4.4 HD VORTA 2.2 DB ANINOASA 4.2 HD BULZESTII DE SUS 2.1 GL VANATORI 4.5 MH GODEANU 2.3 PH BLEJOI 4.8 MH CIRESU 2.1 PH POIANA CAMPINA 4.5 MH PODENI 2.0 PH CORNU 4.2 MH DUBOVA 1.9 TL I.C.BRATIANU 4.3 MH SVINITA 1.8 TL SMARDAN 4.2 TL SFANTU GHEORGHE 1.9 TM DUMBRAVITA 4.2 TL C.A. ROSETTI 1.8 Urban connectivity of the communes continues to be a significant predictor of their development even if one keeps under control (relatively constant) the influence of other relevant factors related to geographic location, locality size, specific force of attraction of large cities, ethnicity etc. (see Annex 13). The higher the values of the IURCON, the higher the probability to have a more developed commune from the point of view of human capital, irrespective of the distance it has to the nearest very large and large city. The relation is also valid for cities – the higher their connectedness to other cities, the higher the probability of their human development. In fact, the impact of urban connectedness is even higher for cities than for communes. Improving mobility for people living in lagging areas Good connective Good connective infrastructure has two large positive effects for people – one infrastructure has two which is obvious, and one which is less obvious. Improved accessibility means large positive effects for that people in lagging areas have better access to opportunities in leading areas. people: better access to However, improved accessibility also encourages circular mobility rather than opportunities and one-way mobility. This process is key, as people who return from leading areas increased circular bring back capital, skills, knowledge, and business connections. The easier it is for mobility those who have left lagging areas to return home, the more do these lagging areas stand to benefit. And the reality is that people disproportionately migrate out from lagging areas, and the easier it is for them to come back the more likely they are to actually do it. In 2012, around 1.6 million Romanians (8% of the total population) were on In 2012, around 1.6 the move looking for opportunities inside and outside the country. These are million Romanians only the official statistics; unofficially, it is believed that as many as 3 million were on the move 113 Romanians (almost as much as the gainfully employed population of Romania) are already working abroad, or migrate back and forth. Figure 71. Lagging areas generate the most migrants Data Source: National Institute of Statistics Largely, lagging areas in the East, South, and North of Romania are responsible for the highest share of migrants. Well-developed counties like Timiş, Cluj, and Lagging areas are Constanţa also have high numbers of in-country migration, and this may be responsible for the reflective of the gravitation pull of growth centers in these counties. highest share of Just as interesting is the relatively low number of migrants in counties migrants within and surrounding Bucureşti. This may be reflective of the fac t that people living in outside Romania these counties are close enough to opportunity to commute every day, rather than resettle. For many, this may in fact be a preferred option, as the cost of living in the capital is several orders of magnitude higher than in surrounding counties. Another take-away from the maps above is the fact that there is an There is an overwhelmingly higher number of Romanians looking for opportunities abroad overwhelmingly higher than there are people looking for opportunities at home. Overall, for every number of Romanians person migrating within Romania, there are three migrating abroad. The lure and looking for opportunities gravitational pull of the West outweigh the gravitation pull of growth centers abroad than there are within the country. Even for people living in the more remote areas in the North- people looking for East, the West holds more promise than growth centers in Romania. In fact, the opportunities at home North-East has a higher absolute number of migrants than any other region. Overall, people living in lagging areas move more than people in leading areas, and this becomes more evident when we look at the share of migrants out of the overall county population (see maps below). In counties like Neamţ, a staggering 20% of the population was on the move in 2012. 114 Figure 72. Mobility is key for people living in lagging areas Data Source: National Institute of Statistics Even in relatively more developed economic centers like Iaşi, around 10% of the population was looking for opportunities elsewhere – primarily outside the country. Part of this can be explained by the fact that the city of Iaşi has an economic base that still is in its incipient phase. Being separated by a longer distance and the Carpathians from the rich markets of Western Europe, the economy of Iaşi had less time to mature than the economies of cities in the West of Romania. To assess the economic strength of Romania’s seven growth poles, we have performed a location quotient and shift share analysis for all of these metropolitan areas. The analysis was carried for two time periods: before the crisis (2005-2008); and after the crisis (2008-2011). This not only offered a glimpse into the make-up of these growth poles’ economies, but also showed how resilient they were to the crisis. Iaşi had developed an important services sector (particularly strong in software production and engineering activities), and while it was not as strong as in other parts of the country, it was growing and doing well. The crisis however hit Iaşi’s economy fairly strong. Between 2008 and 2011, the only businesses that have performed better than the national economy were restaurants, bars and pubs, and hair-dressing salons. (Annex 6 gives a more in-depth explanation of the methodology, and the Shift-Share analysis for Romania’s seven designated growth poles). The economic base of Cluj-Napoca, on the other hand, has proven much more resilient in the face of the crisis. Even without the communications giant Nokia, there were a number of key economic sectors (e.g., software publishing and freight transport) that pushed the economy along. Overall, the city’s ability to generate jobs was one of the key reasons why it managed to attract people and grow over the past decade. 115 Figure 73. 2008-2011 Shift-Share analysis for the Iaşi Metropolitan Area Data Source: ListăFirme and author’s calculations Figure 74. 2008-2011 Shift-Share analysis for the Cluj Metropolitan Area Data Source: ListăFirme and author’s calculations The 2008 crisis is, however, only one event in a long string of challenges that have forced Romanians to become more mobile. As the data above has shown, people will move when they have to. Even if infrastructure investments have 116 been modest in the past two decades, people have found ways to better access opportunities within and outside the country. Still, the fact that people are mobile even without government intervention The fact that people are does not mean that the government should play a passive role. Quite the mobile even without contrary, governments play a key role in ensuring that people easily get to where government intervention they want to get and back. For a country that is at Romania’s development level, does not mean that the the most important thing public authorities can do is to help develop, maintain, government should play and manage connective infrastructure. Just what type of connective a passive role infrastructure is needed in the country is the subject of the next section. What kind of infrastructure is needed in Romania? Key infrastructure investments are essential to enable greater mobility for Key infrastructure people, capital, and ideas, but these should be made after careful consideration investments are essential of estimated costs and expected benefits. The world is full of examples of “white to enable greater elephant” projects, which have gulped significant resources, but have not mobility for people, generated the positive effect they were expected to produce. Every investment capital, and ideas, but should be made based on need, as estimated through careful research and these should be made analysis – it should be backed by hard data and facts, and continuously after careful monitored to ensure the desired effects are indeed achieved. It may help in this consideration of case to look at, and where appropriate follow, EU project selection procedures, estimated costs and which assess the economic sense (i.e., effective demand) and the impact expected benefits (through cost-benefit analysis and comparison to alternatives) of a specific project. Given Romania’s EU status, the importance of Western markets for the Romanian economy, and the development of a number of powerful growth Two major centers in the West, policy makers in Romania have decided that two major infrastructure infrastructure projects are of critical importance for the country: the Transylvania projects are of critical Highway and the Pan-European Corridor IV. Both target the development of a importance for the highway system that connects Timişoara and Cluj-Napoca to the Western border country: the and to Bucureşti, and which increases accessibility to th e West for people and Transylvania Highway companies in the capital, and surrounding growth centers (e.g., Braşov, Ploieşti, and Corridor IV Constanţa). Certain portions of this infrastructure have already been completed, but works are often significantly delayed. For example, the Transylvania Highway, which hopes to connect Ploieşti, Braşov, Târgu -Mureş, and Cluj-Napoca to each other and to the West, was supposed to be finished in 2012. However, after several delays, and after canceling the original development contract, the highway is still “miles” away from being finished. Basically, the only portion that has been finished now acts as a beltway that diverts heavy traffic around Cluj- Napoca. The development of the Bucureşti-Nădlac highway, part of the Pan- European Corridor IV, which also benefits from EU structural funds, has progressed more quickly (although delays plague this project too). The highway connection between Timişoara and Arad (critical for enabling these places to gain a larger economic mass) has been completed, and several other key segments are should be finished by 2013. In terms of connectivity and overall benefits to the economy, these two highway systems have top priority among Romanian policy makers. It will be critical, however, that funds, capacity, and oversight are provided for these 117 projects to ensure that they move forward as swiftly as possible. Every day these projects are delayed negatively affects the Romanian economy. Figure 75. The development of connections to the West is underway Source: http://www.capital.ro/detalii-articole/stiri/se-intampla-in-romania-inca-o- autostrada-finalizata-inainte-de-termen-174474.html Other infrastructure development needs are less obvious, and would require in- depth analysis of costs and benefits, of needs and possibilities. It is not within the scope of this report to clearly delimit what those needs are, but a number of broad dynamics will be brought to the fore. Table 13. Passenger Transport by Modes (in 1,000s) 1990 % 2000 % 2005 % 2008 % 2011 % Railway transport 407,931 34.3% 117,501 36.0% 92,424 27.6% 78,252 20.4% 61,001 19.4% Road transport 780,666 65.6% 205,979 63.2% 238,017 71.1% 296,953 77.2% 242,516 77.1% Inland waterways transport 1,637 0.1% 133 0.0% 218 0.1% 194 0.1% 125 0.0% Air transport n/a n/a 2,358 0.7% 4,339 1.3% 9,077 2.4% 10,783 3.4% TOTAL 1,190,234 100.0% 325,971 100.0% 334,998 100.0% 384,476 100.0% 314,425 100.0% Source: National Statistics Institute Note: Only includes transport by public transport means, not by private car. 118 A key first step would be to identify what type of infrastructure would make most sense for increasing overall mobility, and basic transport indicators are quite telling in this respect. A look at the table above indicates that there is a dramatic drop in the number of passenger carrier from 1990 to 2000 – 71% for More and more people rail transport, and 74% for road transport. Starting in 2000, there has also been a use road and air shift away from rail transport to road transport, with the share of passengers transport and rely less using trains dropping from 34.3% in 1990, to under 20% in 2011. At the same on rail transport time, there has been a steady and continued increase in air transport, with the share of passengers using this means increasing from 0.7% in 2000, t0 3.4% in 2011. As for the distance travelled by passengers in different public transport modes, at the beginning of the new millennium a majority of long trips were done by rail. However, over the previous decade, the number of people that used trains for long distance travel dropped dramatically, in favor of road travel. Table 14. Passenger-Kilometers by Transport Modes (in millions) 1990 % 2000 % 2005 % 2008 % 2011 % Railway transport 30,582 56.0% 11,632 60.1% 7,985 40.3% 6,958 25.6% 5,073 24.6% Road transport 24,007 43.9% 7,700 39.8% 11,811 59.6% 20,194 74.3% 15,529 75.3% Inland waterways transport 58 0.1% 15 0.1% 24 0.1% 21 0.1% 18 0.1% TOTAL 54,647 100% 19,347 100% 19,820 100% 27,173 100% 20,620 100% Source: National Statistics Institute Overall, the number of passenger-kilometers travelled by public transport has dropped 65% from 1990 to 2000. Between 2000 and 2008, there has been a significant increase in the passenger-kilometers travelled by road, which were followed by a decrease in the years following the crisis. The figures above only include public transport passenger modes, without travel done by private cars. To determine the number and length of trips done by passenger cars, one usually has to administer a survey that focuses specifically on this. The Ministry of Transport has requested technical assistance from a consultancy company, which has calculated the modal split for the country (including private cars), and has compared it to the same figures in the EU-27. The main finding from this analysis is that transport by rail is even lower than in the figures collected by the National Institute of Statistics. Table 15. Modal Split of Passenger Transport, in 2007 (including passenger cars) Romania EU-27 Mode Passenger-km (mil) % Passenger-km (mil) % Road (passenger cars) 39,635 50.54% 4,688,035 83.39% Road (public transport) 31,737 40.47% 538,952 9.59% Rail 7,056 9.00% 395,122 7.03% Source: Louis Berger SAS. 2009. Romania - Technical Assistance for the Elaboration of the General Transport Master Plan As far as the transport of goods is concerned, roads also dominate, but in the past years there has been a marked shift towards railway and maritime transport. It is not clear whether this trend is underlined by a lack in critical roads 119 infrastructure (e.g., a widespread, functioning highway system), or whether it simply reflects an innate cost advantage of the rail and maritime network. Table 16. Goods Transport by Mode (in thousand tons) 1990 % 2000 % 2005 % 2008 % 2011 % Railway 218,828 9.9% 71,461 18.4% 69,175 14.7% 66,711 12.7% 60,723 19.1% Road 1,934,362 87.2% 262,943 67.7% 306,994 65.3% 364,605 69.5% 183,629 57.6% Inland waterways 16,719 0.8% 19,959 5.1% 32,845 7.0% 30,295 5.8% 29,396 9.2% Maritime transport 23,802 1.1% 25,469 6.6% 47,678 10.1% 50,449 9.6% 38,883 12.2% Air transport 0 0.0% 16 0.0% 20 0.0% 27 0.0% 27 0.0% Pipeline transport 23,487 1.1% 8,808 2.3% 13,378 2.8% 12,390 2.4% 6,020 1.9% TOTAL 2,217,198 100.0% 388,656 100.0% 470,090 100.0% 524,477 100.0% 318,678 100.0% Source: National Institute of Statistics The next sub-sections will discuss specific infrastructure needs in more detail. Road infrastructure needs An overwhelming share of passenger transport in Romania is done by road. This An overwhelming share is the transport network with the highest demand and highest traffic increase. of passenger transport in The number of passenger cars per 1,000 people has quadrupled in the past two Romania is done by road decades, from 55 to 202. Over the same time-frame, however, the length of the road network has increased by only 15%. Also, even if the increase in the number of passenger cars has been dramatic, when compared to other countries in Europe, Romania still lags behind. As such, with economic growth, it is to be expected that car ownership will continue to rise quickly in coming years; more cars on the road will continue to require the extension and improvement of the existent infrastructure network. Figure 76. Passenger Cars per 1,000 people, in 2009 Source: World Development Indicators 120 Usually, the more developed a country, the higher the car ownership, and the Usually, the more higher the need for roads. When looking at the correlation between GDP per developed a country, the Capita and road density in a number of European countries, it becomes evident higher the car ownership that Romania has an underdeveloped road network. At its GDP per Capita level in and the higher the need 2009, Romania should normally have had a road network double the size of the for roads one it had at that point – in other words, the entire road network of Romania should have doubled in length to match the country’s economic performance. Figure 77. Romania has an under-developed road infrastructure network Data Source: WDI and CIA Factbook 2 Note: Road density is measured as kilometer of road per 100 km of land area; GDP per Capita is taken at purchasing power parity (PPP) in current international $US; data are collected for years between 2000 and 2006. While the Romanian economy has more than doubled between 1995 and 2009, While the Romanian the development of new roads infrastructure has lagged far behind. In the large economy has more than majority of counties, road density has not changed by more than 14.6% between doubled between 1995 1990 and 2011. Two counties – Mehedinţi and Vrancea – have actually lost road and 2009, the infrastructure during the same time frame. Bucureşti is the one place that has development of new developed new roads most aggressively. roads infrastructure has Otherwise, there seems to be no discernible pattern to how new road lagged far behind developments have taken place. There is no indication that the amount of new roads has taken basic indicators into consideration – such as trends in population and economic densities. As the maps and graph below show, some of the least developed counties in Romania have some of the highest road densities, while some of the most developed counties are at the opposite end of the spectrum. 121 Figure 78. Insufficient and haphazard roads development Data Source: National Institute of Statistics Such a reality has been also encouraged by the recent opportunities provided by the European funds (ERDF), which did not prioritize investments in road infrastructure according to real needs/analysis of the county profile. Rather, a EU investments in road blind competition between counties was encouraged, which attempted to access infrastructure have not as many resources as possible, often with a limited capacity to manage these been prioritized road projects, and with limited means to ensure proper maintenance and according to needs operation. The only county council that has not accessed funds from the Regional Operational Programme for roads was Braşov. Figure 79. Map of investment in roads infrastructure from ERDF – 2012 Source: Romanian Institute for Public Policy (IPP) 122 Figure 80. Roads endowment is not linked to economic performance Data Source: National Institute of Statistics and EuroStat 2 Note: Road density is measured as kilometer of road per 100 km of land area; GDP per Capita is taken at purchasing power parity (PPP) in Euro. Normally, one would expect to see more roads in the areas with higher economic Normally, one would activity, where car ownership is higher and where traffic is more intense. The expect to see more first map below indicates how a road density map should normally look like. roads in areas with While car ownership is growing quickly in the East too, it is the West where higher economic activity, continued roads development would bring the most benefits in the short and where car ownership is medium-term. higher and where traffic Lagging regions in Romania have benefited from a more generous allocation is more intense of EU funds. In and of itself, this is not a bad thing. Lagging regions have fewer resources at their disposal for much needed investments. However, the priorities were considered the same for both leading and lagging regions, despite different allocations. It may be true that lagging regions invested more EU funds in roads development, while leading regions invested more of their own funds in such projects. The road density map above shows that the more developed areas in 123 the West have a higher need for roads than counties in the East and the South due to the number of cars in circulation. Figure 81. A higher need for roads in the West, but the East is catching up Data Source: National Institute of Statistics The where, when, and how of new roads development requires in-depth analyses, a clear understanding of technical specifications, and a thorough cost- benefit analysis – i.e., the type of things that beneficiaries of EU structural funds have to go through to be eligible to receive European grants. Plans for new road developments also have to take into consideration national plans for major infrastructure expansions. For example, in 2006, the Government of Romania has unveiled the network of highways and motorways it hoped to develop in the coming years. Some of these transport links (e.g., the Bucureşti-Ploieşti highway, the Timişoara -Arad highway) have already been completed; some are still under construction, while some are planned for later development. Also a Transport Masterplan has been prepared by a Consultant for the Ministry of Transport (along with an action plan for infrastructure development), but it is unclear what the status of that document is currently. As county governments and local administrations consider the development of new connective infrastructure, they should first study national plans to Plans for regional and determine how these will impact their own plans and how synergies could be local roads construction fostered. It is also important to consider timing. For example, the highway should take national network connecting the East of the Romania to the West is slated for completion plans into consideration somewhere beyond 2020. The reasons for this are manyfold. One of the most important is the significant cost and man-power required to bring the highway over the Carpathians. As the second map below shows, this will be no easy task. 124 Figure 82. Motorway network proposed by the Government in 2006 Source: Planul de Amenajare a Teritoriului Naţional, Secţiunea I – Reţele de Transport - Legea nr. 353/2006 (MOf. Partea I nr. 806 din 26/09/2006) 125 Rail infrastructure needs A number of studies on the rail network in Romania (including several that were A number of studies completed by the World Bank), indicate that there is an over-supply of rail show that there is an infrastructure in the country. Owing to the communist legacy, when public over-supply of rail transport infrastructure was favored, the rail network was aggressively infrastructure in expanded. In fact, most former-communist countries have high rail densities. For Romania example, Romania has a higher rail density than Spain, Greece, Portugal, Denmark, and is on par with France and Italy. Obviously, as in the case of road infrastructure, the density of the rail network should be correlated to actual economic performance. The more dynamic an economy is, the more people and goods need to be transported. Moreover, good infrastructure planning would require rail links between places with a high population density, places with high economic density, or ideally, places with both population and economic density. Figure 83. Romania seems to have an over-supply of rail infrastructure Data Source: WDI and CIA Factbook 2 Note: Rail density is measured as kilometer of rail per 100 km of land area; GDP per Capita is taken at purchasing power parity (PPP) in current international $US. The graph above indicates that rail endowment in Romania could be over- supplied by at least 50% - of course, one has to also ignore the fact that the higher rail density was meant to compensate for the undersupply of roads (i.e., mass public transport was encouraged over private vehicle use). Also, the overall picture is skewed by the transition economies, all of which have high rail density (a legacy of their communist past). Germany and Belgium also seem to be outliers, with a much higher density of railways than one would expect from their 126 GDP per capita. If these countries would be taken out of the picture to only include countries that have developed new rail infrastructure according to market principles, the situation in Romania would likely look even direr. During the transition years, as the rail network steadily deteriorated, fewer During the transition and fewer people chose this method of transportation. The railway company has years, as the rail network therefore entered a downward spiral, where decreasing ridership and informal steadily deteriorated, payments have led to lower revenues, which in turn forced the company to fewer and fewer people reduce investments in the upkeep of infrastructure and trains, leading to the chose this method of closing of several rail links and to a renewed decrease in ridership. Currently, transportation Romania transports fewer people by rail than Denmark, although it has a denser rail network, a larger population, and a much larger surface. Figure 84. Railway Passengers Carried, in 2010 (in million passenger-kilometer) Source: World Development Indicators Consequently, what is needed are not more rail tracks, but better management What is needed are not of the network that is in place. There are numerous examples from throughout more rail tracks, but the world that show that people will use trains more if these are faster, more better management of reliable, and more comfortable. Often times, reliability is the most important the network that is in criteria for choosing rail over other transport means. place For the future, it is important to continuously improve service along the busiest corridors (see maps below), and to assess the possibility of introducing more high-speed trains for easier commutes between busy population centers (e.g., Bucureşti-Ploieşti). Where there is a critical mass of people, commuter trains can help boost ridership and the effectiveness of the existent network. This would of course require strategic thinking, planning, and cooperation between different local authorities, with a clear understanding of the costs and benefits for all parties involved. 127 Figure 85. Passenger rail traffic, in 2007 Figure 86. Rail freight traffic, in 2007 Source: Louis Berger SAS. 2009. Romania - Technical Assistance for the Elaboration of the General Transport Master Plan 128 Air infrastructure needs In tune with economic growth, air traffic in Romania has grown continuously in In tune with economic the past decade. As the country has become increasingly inter-connected with growth, air traffic in Europe and the rest of the world, so have people’s needs to get aroun d in a fast Romania has grown and efficient way. The emergence of low-cost carriers and charter planes has continuously in the past been one response to this growing trend. decade Figure 87. Number of passengers carried by air, in selected countries Source: WDI Figure 88. Airports in Europe Data Source: EUROSTAT; © EuroGeographics for airports layer 129 Overall, however, the density of airports in Romania continues to be one of the The density of lowest in Europe (only Albania has a lower density), and the volume of airports in Romania passengers carried is also far lower than potential demand. Of the 17 airports continues to be one of that remain operational in the country, only four have relatively high passenger the lowest in Europe traffic. The two airports in Bucureşti moved together around 6.7 million people in 2010 (in the meantime, one of these two airports, Băneasa, has been closed, pending plans to transform it into an airport for private jets). The airports in Timişoara and Cluj-Napoca each transported around 1 million passengers to their destination. Figure 89. The busiest airports in Romania Data Source: Monitorul Oficial al României: Ordin 169/1.801 al ministrului transportului și infrastructurii și al ministrului mediului și pădurilor pentru aprobarea Planului național de acțiune. [Available at: http://www.dsclex.ro/legislatie/2011/august2011/mo2011_541.htm] Next in line, and at some distance, are Bacău (with 240,000 passengers in 2010), and Iaşi (with around 160,000 passengers). Large economic growth centers like Constanţa and Craiova had very low passenger traffic by air – 75,000 and 24,000 respectively. Obviously, when an airport is only servicing 24,000 passengers, the city will not make grand plans to expand the air infrastructure. However, if ridership is anticipated to quadruple in five years, as it happened in Timişoara and Cluj - Napoca, it pays to think about extending the current airport infrastructure. And indeed, both of these airports have undergone significant improvements in 130 recent years. The airport in Cluj-Napoca has opened up a new terminal and construction is underway to enlarge the takeoff and landing strip to 2,100 meters, in a first phase, and then to 3,500 meters. This expansion will eventually allow trans-Atlantic flights from the Cluj airport, as well as the operation of cargo planes. Similarly, authorities are considering the development of a new, larger airport between Timişoara and Arad to better take advantage of the economic and population mass of these two cities. Right now, Arad is served by its own airport, but very few people use it – the majority preferring the Timişoara airport or airports in Hungary. For places where air traffic has grown continuously in recent years, it will be For places where air critical to not only expand the capacity of the airports themselves, but also to traffic has grown better connect them to surrounding areas. The easier it will be for people to continuously in recent access these airports, the more will air traffic grow. As shown earlier, the larger years, it will be critical to economic zones of Timişoara and Cluj-Napoca each serve around 1 million not only expand the people. In practice, the service area of these two airports could be much larger– capacity of airports especially when one considers the passenger volume handled by other airports in themselves, but also the region. To take full advantage of these service areas, however, airports need better connect them to to be better connected to the people living there. surrounding areas At the local level, increased connectivity would recommend the development of dedicated public transport lines, taking passengers to and from the airports. Most airports in Romania are poorly connected to the cities they service, and people often have to rely on over-priced taxis to get to their final destination. București in particular has led the way with plans to expand the metro network to its main airport to the north of the city; while metro systems can be an expensive option in other cities, room for improvement exists everywhere in terms of better public transportation to and from airports. At the metropolitan level, better connectivity may involve a better integration of the airport stops into the metropolitan transport system. At the larger economic zone level, this may involve dedicated service by rail (or at least a good train-to-bus-to-airport schemes), and better access by car. Several private transport providers have responded to the growing demand for airport accessibility and now make regular trips between airports and communities in the area. Still, the information is not consolidated to allow people to determine quickly and cheaply what the best option is for getting to their final destination. Where new infrastructure should be developed The analysis above highlighted that the highest needs for new connective infrastructure development are for air and road transport. Significant airport The highest needs for expansions are viable, and actually underway, in three main locations: Bucureşti, new connective Timişoara, and Cluj-Napoca. Otherwise, the most pressing needs for Romania in infrastructure the coming years (e.g., 2014-2020) are for the development of road development are for air infrastructure. and road transport A plan for the development of a new highway and expressway system already exists, and Regional Development Agencies, County Councils, and Local Authorities have individual plans for the development of regional and local 131 infrastructure. In what follows, we will discuss where new infrastructure would make most sense based on population and economic densities. For this purpose, we have developed two gravitational models. Such models start from the premise that cities, like planets, develop a gravitational pull and attraction to each other. The higher the mass of these cities, and the lower the distance, the stronger the gravitational pull, and the stronger links that are built between them. The map below highlights the result of the population gravitational model. Two regions pop-up immediately: the Bucureşti larger economic zone, and the North-East region. The area around Bucureşti is densely populated and well The gravitational pull connected. Thus the gravitational pull of Bucureşti reaches all the way to Piteşti, of București reaches all and further north to Ploieşti and Braşov. To better improve connectivity in this the way to Pitești and area, policy makers have already planned a number of investments in transport further north to Ploiești infrastructure. Thus, the metro system of Bucureşti is slated to expand and Brașov substantially, to better serve the newly emerging communities on the periphery of the city, and the metropolitan area as a whole. Figure 90. Population gravitational model The highway to Ploieşti has been finalized, and one of the priorities in the coming years will be the completion of the highway connection between Ploieşti and Braşov. Of course, adequate resources have to be secured for this highway extension, as Braşov is situated in a mountainou s area, which will require careful planning and relatively high costs. In addition, the opportunity of high-speed trains servicing the Braşov- Ploieşti-Bucureşti corridor may be considered, as this is the busiest passenger rail 132 corridor in the country. This high speed rail infrastructure could further be integrated in the metropolitan transport network of these three cities, allowing a seamless transfer from one mode to another. The second area with a strong gravitation field is the area bounded by Iaşi, A second area with a Bacău, Piatra Neamţ, Suceava, and Botoşani in the North East. While this area is strong gravitational field one of the least developed in the country, it also has one of the highest is the area bounded by population densities. As such, it is important to determine how best to improve Iași, Bacău, Piatra connectivity in the area. Improved connectivity in densely populated areas can Neamț, Suceava, and help drive continuous urbanization. In turn, larger cities will generate economies Botoșani of scale, which will make their economies more competitive, and which will in turn attract even more people. Increased connectivity is not necessarily achieved through the development Increased connectivity is of new infrastructure – especially if an analysis of the region shows that the not necessarily achieved roads endowment adequately covers transport needs. It will be important, through the development however, to develop and expand inter-city public transport opportunities (e.g., of new infrastructure regular and reliable bus and rail service), and public transport options within cities’ metropolitan areas. As shown earlier, all of these cities are surrounded by dense communities. If these would be better integrated within a functional urban zone, they would help the center cities build a larger economic mass, become more attractive for investors, and reap economy of scale benefits. Other areas with a significant gravitational pull are the Timişoara-Arad conurbation, the Cluj-Alba-Sibiu-Târgu Mureş quadrangle, and the Constanţa Metropolitan Area. The connections and the gravitational pull in these three regions become stronger when the gravitational model uses economic mass (in this case, local firm revenues) instead of population (see map below). Figure 91. Economic mass gravitational model 133 The economic mass gravitational model indicates that the Bucureşti larger The București larger economic zone enjoys not only population density, but also economic density. economic zone enjoys The link between Timişoara and Arad becomes much stronger, and Cluj -Napoca not only population emerges as part of a larger urban system in the heart of Transylvania. density, but also Without doing a cost-benefit analysis of new infrastructure development, it economic density is nonetheless clear that these regions would benefit from integrating their economies more. For Constanţa, this would mean the development of an integrated metropolitan transport system – especially for its 40 minute access area (as was indicated earlier in the report). For Timişoara and Arad, this may mean integrated spatial planning along the newly developed highway, the introduction of high speed rail, or even the development of a joint airport. For the Transylvanian quadrangle, this may indicate the need to speed-up infrastructure projects that have already been planned (i.e., the highway connection between Cluj-Napoca and Târgu Mureş, between Cluj-Napoca and Alba Iulia-Sebeş, and between Sibiu and Alba Iulia-Sebeş), but also for projects that have not been considered so far (e.g., an express motorway from Târgu Mureş to Mediaş and onward to Sibiu). The one-hour access zone of Cluj-Napoca could grow by over 50% (to around 1.5 million people) if the city were connected by high-speed motorways to some of the cities in the region. Weaker links, but significant nonetheless, exist between cities like Galaţi and Brăila, Suceava and Botoşani, Piatra Neamţ and Bacău, Satu Mare and Baia Mare, or Deva-Hunedoara-Orăştie. How new infrastructure should be prioritized Figure 82 gave an indication of the extent of the planned road infrastructure development in Romania, as laid out in the National Spatial Plan. The timeline in which this infrastructure network will be completed will be long though, as the investments required to carry this plan through are substantial. In this respect, it is critical to properly prioritize such investments. One of the key criteria for prioritizing road development is the anticipated One of the key criteria positive impact. Obviously, one of the key objectives of new infrastructure for prioritizing road development is increased mobility for people and firms and the possibility to development is the spur economic benefits that help regions develop. For example, better anticipated positive infrastructure can enable companies in a region to reach a larger market, and impact benefit from economies of scale. Similarly, a better integrated region is a region that offers more people access to opportunities. Usually, new infrastructure tends to connect economically active regions, as these have the most intense economic exchanges and are also the regions with Usually, new the highest number of commuters (as Census data show). To see which regions infrastructure tends to would benefit more from the development of new highways and expressways, connect economically we have created an economic gravitational model to which we have added the active regions, as these road network proposed in the National Spatial Plan. We have compared this have the most intense model to the gravitational model that was run with the existent infrastructure economic exchanges and network, to see which road corridors could potentially generate the most are also the regions with significant economic synergies. the highest number of As the maps below shows, the corridors with the greatest potential for commuters positive economic impact are corridors that have already been developed by the Government, corridors that are under construction, or corridors which are 134 considered for development in the near term. Thus, one of the strongest links that shows up is the Transylvania Highway, which connects Br așov to Târgu Economic gravity models Mureș, Cluj-Napoca, Oradea, and Romania’s Western border. This highway link is indicate that the one of the most significant undertakings of its kind undertaken after 1989, but it Transylvania Highway continues to be plagued by delays and lack of funding. Since the highway link if and Corridor IV should not part of the Pan-European TEN-T network, Romanian authorities cannot be top priorities for new access EU funds for its development. Instead, they have to rely on state budget roads development funds and PPP arrangements. A portion of the highway, which acts as a ring road around Cluj-Napoca has been completed, and another link (frown the Western border inward) is partially completed. From Brașov to Ploiești, the Government is considering the development of a new highway under a PPP arrangement, and this highway would connect to the already completed București -Ploiești highway. Figure 92. Economic gravitational model, with existent infrastructure (left) and with proposed highway and expressway network (right) Corridor IV, which connects București to Sibiu, Sebeș, Timișoara, and Arad, is under construction now with EU funding. The highway connection between Timișoara and Arad has already been completed. Some of the priority investments that could be considered in the near term also include: extending the Transylvania Highway from Turda to Târgu Mureș, improving the connection between Arad and Oradea, connecting Cluj-Napoca to Alba Iulia, Sebeș and Corridor IV in the South, and developing the Moldova highway (which connects Suceava, Botoșani, Piatra Neamț, and Bacău to București). Actual expenditures on transport infrastructure do in fact correspond to the Actual expenditures on models presented above – at least in recent years. As the map below highlights, transport infrastructure the counties with the highest share of spending on transport infrastructure are correspond to the counties situated along the Transylvania Highway and along Corridor IV of gravitational models the TEN-T Highway Network. However, the fact that there has been investment in transport infrastructure was not synonymous with an improvement of the transport network. As Figure 78 has shown, there is no discernible pattern to the change of road density in Romania. Moreover, few complete major road links have been finished in recent years. For example, after more than a decade, the 135 only finished segment of the Transylvania Highway is a 52 km bypass around Cluj- Napoca. Work on Corridor IV is on-going, but so far, only a major segment connecting Timişoara to Arad has been completed, and a bypass around Sibiu. To a large extent, these delays can be attributed to the cumbersome bureaucracy in Romania and the difficult and slow public procurement system. Figure 93. Share of county expenditures on transport as compared to national expenditures on transport, in 2009* *The formula used took the log of county expenditure per capita on transport, and subtracted it from the log of national expenditure per capita on transport Data source: World Bank BOOST Database In addition to the economic gravitational map, we have also developed a A well-developed demographic gravitational model, to see where the proposed highway and infrastructure network expressway network would provide the most benefit with respect to connecting not only makes it easier populated places. The development of major infrastructure networks can play a to reach urban areas, key role in spurring urbanization. A well-developed infrastructure network not but also works as a only makes it easier to reach urban areas, but also works as a catalyst for the catalyst for the urbanization process. urbanization process The two maps below indicate the areas where new infrastructure development is likely to be most beneficial to the urbanization process. The map on the left is the gravitational model done with the existent infrastructure. The map on the right is the map done with the highway and expressway network defined in the National Spatial Plan. The area around Bucureşti again shows up as the area with the highest urbanization potential. Another key area with a high urbanization potential is the North-East Region of Romania. In fact, the development of the Moldova Highway (connecting Botoşani, Suceava, Piatra Neamţ, Bacău, and Buzău, to Bucureşti), can provide an important stimulus for urbanizing an area with one of the highest population densities in the country, and one of the lowest urbanization rates. 136 Figure 94. Demographic gravitational model, with existent infrastructure (left) and with proposed highway and expressway network (right) The area around Craiova is also an area with a high urbanization potential, connecting the City of Craiova to a large surrounding demographic pool. Finally, improved connections from Cluj-Napoca to Târgu Mureş and Alba Iulia can also help the urbanization process in the heart of Transylvania. Proposals for regional infrastructure The previous section offered an overview of major, national-level infrastructure Regional needs for new needs. This section proposes a more refined, regional look at the same topic. For and upgraded connective Romania as a whole, connective infrastructure represents the most pressing infrastructure should need. For regions, connective infrastructure is likely to be a top priority, too. take operation and However, regional needs for new and upgraded connective infrastructure should maintenance costs take operation and maintenance costs into consideration (a new highway is into consideration and costly to maintain) and the actual impact of such investments in the short- and the actual impact of medium-term. such investments in the Given current economic dynamics, the more developed regions of Romania short- and medium-term would benefit more from connective infrastructure than less developed regions and would also have more resources at their disposal for the maintenance of such infrastructure. Nonetheless, regional priorities should ideally be decided Given current economic upon regionally and this section will merely provide some guidance with respect dynamics, the more to the infrastructure connections with the biggest potential. The analysis will developed regions of focus on demographic and economic gravity models, as the ones discussed Romania would benefit above, only at the regional level – i.e., for each region of Romania with the more from connective exception of Bucureşti-Ilfov, which is a contiguous metropolitan area. infrastructure than less developed regions The West Region The demographic and economic gravity maps for the West region show some of the same general patterns that could be observed in the national models. Basically, the highest potential for connective infrastructure is between Timişoara and Arad, which together form the largest economic con -urbation after Bucureşti. The highway connection between the two cities is alrea dy established (although access to the highway could be improved in Timişoara), and it may pay for public authorities in the region to think about investing in an 137 improved rail connection between the two cities – e.g., a high-speed commuter train. Figure 95. Demographic (left) and economic (right) gravity model for the West Region At the metropolitan level, it will be important for both Timişoara and Arad to improve connections with surrounding localities. This will enable them to access At the metropolitan level, a larger local labor pool and larger local markets. For Timişoara, the strongest it will be important for connections seem to be needed to the West of the city, toward the border, while both Timișoara and Arad for Arad the strongest connections are needed in the North of the city, also to improve connections toward the border. In essence, new economic enterprises have been created with surrounding close to these cities to take advantage of their labor pool and are also close to localities the Western border, to shorten the distance to the Western markets. These are also the areas that will benefit most from continuous connective infrastructure upgrades. Another important area that could benefit from improved connectivity is the Deva-Hunedoara con-urbation. While these two cities have seen their share of hard times with the demise of their industrial base after 1989, they form an economic area with future potential. The completion of Corridor IV will also bring significant benefits to this con-urbation by bringing it close to the Timişoara -Arad growth corridor, and closer to the rich markets in the West. In addition to the gravity models above, which take actual driving time between individual localities into consideration, Annex 12 provides gravity models that are developed using the Euclidean (straight line) distance between the centers of localities. These models are meant to identify potential synergies irrespective of existent infrastructure and hint to potential new infrastructure needs. The maps for the West Region show however that similar patterns emerge even if existent infrastructure is taken out of the picture. This underscores again the power of infrastructure to drive development – usually, the localities that are closer to major infrastructure tend on the whole to be more developed. The Center Region The demographic and economic gravity maps for the Center region indicate two large areas that could benefit from increased connectivity. On the one hand, there is the area framed by Târgu Mureş, Mediaş, Sibiu, and Alba Iulia. On the other hand, there is the functional urban area of Braşov. A similar pattern 138 emerges when the gravity model is developed without taking existent infrastructure into consideration (see Annex 12). Figure 96. Demographic (left) and economic (right) gravity model for the Center Region Corridor IV, when finished, will dramatically increase accessibility between Sibiu, Corridor IV, when Sebeş, and Alba Iulia. The proposed highway connection from Cluj-Napoca to finished, will dramatically Corridor IV will also improve North-South accessibility to the region. There are, increase accessibility however, no stated plans to improve the direct connection between Târgu between Sibiu, Sebeș, Mureş, Mediaş, and Sibiu, although there seems to be a significant potential and Alba Iulia there. Part of the challenge is the fact that a potential highway connecting these three cities will pass through an area with a vast array of cultural heritage sites – there are numerous Saxon fortified churches and villages that dot the landscape from Târgu Mureş to Sibiu. Building a highway through this area may affect the potential to exploit its tourism potential in a sustainable way. Of all 7 growth poles, At the metropolitan level, Braşov could benefit substantially from being Brașov has the highest better connected to surrounding localities. As the Enhanced Spatial Planning potential for the report has shown, Braşov, of all seven growth poles, has the highest potential for development of an the development of an integrated metropolitan transport system. Since it is integrated surrounded by a number of relatively dense towns (rather than by rural areas), it metropolitan could benefit from having better connections to its surroundings. This could transport system entail better roads, expressways, and integrated public transport. The North-East Region The North-East Region is among the less developed in Romania. Building Strategic infrastructure connective infrastructure here is likely to bring less economic dividends in the connections in the North- short and medium-term. Nonetheless, strategic infrastructure connections could East region could help help drive the process of urbanization in the region, which is critical for its drive the urbanization development. As stated repeatedly in the report, no country/region has process developed without urbanizing first. The North-East Region is both one of the least urbanized regions in Romania and one of the densest, which means there is significant scope for increased urbanization in the future. 139 Figure 97. Demographic (left) and economic (right) gravity model for the North- East Region The two areas that could benefit most from improved infrastructure connections are: the triangle framed by Piatra Neamţ, Roman, and Bacău, and the Suceava - Botoşani con-urbation. The connection to Iaşi is also very important, although Iaşi seems to be surrounded by fewer large localities. A similar pattern shows up when the gravity models are developed without taking existent infrastructure into consideration (see Annex 12). The North-West Region The North-West Region poses a bit of a conundrum. As indicated in the national Cluj-Napoca, the growth gravity models, Cluj-Napoca, the growth pole of the North-West region, would pole of the North-West benefit from improved connections with a number of cities in the Center Region Region, would benefit – namely, Târgu Mureş, Alba Iulia, and Sibiu. Within the North-West Region itself, from improved however, Cluj-Napoca is somewhat detached from other growth centers. connections with cities in the Center Region – Figure 98. Demographic (left) and economic (right) gravity model for the North- particularly Târgu Mureș, Alba Iulia, and Sibiu West Region Overall, and especially from an economic point of view, the largest urban areas in the region seem to be relatively self-standing. The area framed by Satu Mare, Oradea, and Zalău seems to have the strongest potential for benefits from increased regional connective infrastructure. When finished, the Transylvania Highway would connect Cluj-Napoca, Zalău, and Oradea, and could in turn enable a number of synergies. At the metropolitan level, the strongest potential for improved connections seems to be held by Cluj-Napoca, Oradea, and Satu Mare. In the case of Cluj- 140 Napoca, which has the most localized economy of all seven growth poles, the most benefits will likely be derived from improved connections (e.g., additional Cluj-Napoca has the access roads and integrated public transport networks) with three major most localized economy adjacent localities – Floreşti, Apahida, and Baciu. At a larger scale, Cluj-Napoca of all seven growth poles would benefit from improved connections southward, to Turda, and, as indicated in the previous section, further down to Alba Iulia and Sebeş. Again, similar patterns emerge when the gravity model are built without taking the existent infrastructure into consideration (see Annex 12). The South Region Infrastructure improvements in the South Region cannot be thought of outside the influence of Bucureşti. Even when the capital and Ilfov County are taken outside the gravity model, the influence of Bucureşti is still felt. Figure 99. Demographic (left) and economic (right) gravity model for the South Region Basically, the functional urban area of Bucureşti extends well beyond the borders of Ilfov County. Particularly the area to the West of the nation’s capital would benefit from improved infrastructure connections. It is one of the densest The functional urban regions in Romania and also one of the most developed ones. area of București The South Region gravitates around Bucureşti, and the Bucureşti-Piteşti extends well beyond the Highway and the Bucureşti-Constanţa Highway have helped make this one of the borders of Ilfov County, most connected regions in Romania. In addition to these two highway links, into the South Region there are plans to extend a highway link southward to Giurgiu, although more analysis is needed to determine whether there are good reasons to expand the highway network in that direction (from București to Bulgaria). The South-East Region The South-East Region has two major areas that would benefit from improved connectivity. On the one hand, there is the area framed by the Brăila-Galaţi con- urbation, Focşani, and Buzău, and on the other hand there is the metropolitan area of Constanţa. 141 Figure 100. Demographic (left) and economic (right) gravity model for the South-East Region The Brăila-Galaţi con-urbation holds great promise and has been researched extensively. Unfortunately, no agreement has been reached at the political level The Brăila-Galați con- to enable the two cities (which are also in two separate counties) to do urbation holds great integrated planning and project implementation that would enable both of them promise to take advantage of economies of scale. There are already a number of plans prepared, for how these cities could be brought closer together and there are also a number of plans for improving connectivity between Brăila-Galaţi and Tulcea. In particular, the proposed Brăila -Măcin Bridge over the Danube is hoped to improve connectivity in the area. However, given that the area around Tulcea is sparsely populated, such a project will likely not have a significant economic impact, and has to be weighed against the high price tag it will come with. At the metropolitan level, the City of Constanţa has a very strong Within the 40-minute gravitational pool. As was discussed earlier, within the 40-minute access area, access area, Constanța Constanţa has both the largest demographic pool and the largest economic mass has both the largest of any of the seven Romanian growth poles. This makes it even more pressing to demographic pool and think about integrated metropolitan transport solutions. A ring road around the largest economic Constanţa is already in place and the City is con nected via expressway to all the mass of any of the seven major resorts on the Black Sea. The Northern connection to Năvodari, could Romanian growth poles benefit however from further improvements. The South-West Region The South-West Region is clearly dominated by Craiova. In fact, of the seven Of the seven growth growth poles in Romania, Craiova has the largest demographic pool within a one- poles, Craiova has the hour access area. Being able to tap into this will be critical for the continued largest demographic pool development of Craiova and of the region as a whole. For example, investors like within a one-hour access Ford will likely require additional workforce as they expand their production area capacity in the region. 142 Figure 101. Demographic (left) and economic (right) gravity model for the South-West Region Of importance, although not as strong, is the connection between Craiova and Râmnicu Vâlcea – the two strongest economic centers in the region. The connections to Slatina and Drobeta Turnu Severin are also important. Currently, the part of the road between Craiova and Drobeta is an expressway and the rest of the road is in very good condition (having been recently rehabilitated). Also relatively good is the connection to Târgu Jiu, another important economic center in the region. Benefits of new infrastructure development Given Romania’s current level of development, investments in connective Given Romania’s current infrastructure should be the country’s top priority. Such investments are one of level of development, the key ways of deepening the integration with EU markets, and one of the most investments in important ways of unlocking the development potential of Romanian cities. connective Better connective infrastructure translates into easier access to markets, infrastructure should improved access to labor pools, and the potential to grow the demographic and be the country’s top economic mass of functional urban areas. priority There are many measures of access, but the easiest to compute is the time required to get from point A to point B. With this in mind, we have computed a series of access maps, which indicate how travel times would change if the road infrastructure proposed in the National Spatial Plan (see Figure 82) would actually be put into place. To measure access, we looked at proximity to the Western border (the largest export market for the Romanian economy), proximity to Bucureşti (Romania’s largest internal market), and proximity to Constanţa (the country’s main port and a key gateway for Romanian trade). The intention was to see how access to these key points would improve if existent infrastructure plans would actually be put into place. Improved access to markets in Western Europe is of most importance to the Improved access to Romanian economy and the highway system connecting to the Western border markets in Western (particularly Corridor IV and the Transylvania Highway) should be the country’s Europe is of most number one priority. It will help some of the country’s main economic engines importance to the (e.g., Bucureşti, Cluj-Napoca, Timişoara, Braşov, Sibiu, etc.) become more Romanian economy efficient and competitive. 143 The first map below shows access times to the Western border with the current infrastructure in place. With access times of over 8 hours, it becomes clear why cities like Iaşi have not grown as fast as cities like Cluj-Napoca, despite having a similar population and a similar economic make-up. Figure 102. Travel time to the Western border with current road infrastructure Figure 103. Travel time to the Western border with proposed road infrastructure 144 It is also interesting to note that cities like Braşov, Sibiu, or Târgu -Mureş, although they may seem closer to the Western border than the capital Bucureşti, have in fact similar or slower access times. The Bucureşti -Piteşti highway brings the capital closer to the Western border, although it is geographically further away from it than other cities, demonstrating, once again, the importance of good connective infrastructure. Most interestingly, though, if all the proposed highways and expressways in If all proposed highways the National Spatial Plan would be built tomorrow, virtually every locality in and expressways in the Romania (with a few exception in the far reaches of the Danube Delta) would National Spatial Plan have access to the Western border within a 5-hour drive – a phenomenal would be built tomorrow, improvement and a significant boom for the Romanian economy. Of course, it virtually every locality in would be hard to build this infrastructure overnight and the required costs are Romania would have substantial. Nonetheless, targeted and well-prioritized investments can help access to the Western bring more of the country closer to the rich markets of Western Europe. border within a If the highway connections to the West will be finished, Bucureşti would be 5-hour drive within a 3-hour drive from the Western border. The same would be true for large cities like Braşov or Sibiu, while the travel time for Iaşi would halve, to 4 hours. Cluj-Napoca would in turn be less than 2 hours away from the border. In addition to connections to the Western border, public authorities in Romania should also look into improving connections to the largest market in the country – Bucureşti and its surroundings. As was shown in the report, the one - hour access area around Bucureşti produces around 50% of firm revenues in Romania. This is a staggering number and being closer to this economic engine will pay dividends in the long-run. The way the situation looks currently, some of the cities that benefit from closeness to the Western border are also some of the cities that are furthest away from the capital. Timişoara, Cluj-Napoca, Oradea, and Arad are closer to large regional growth engines like Belgrade and Budapest than to Bucureşti. This distance from the capital has served these cities well in previous years, as the gravitational pull of Bucureşti (especially the attraction of human capital) was not as strong as it was for cities like Ploieşti, Braşov, or Craiova. However, for cities like Iaşi, which have few large and easily accessible For cities like Iași, a 6- markets close by, the 6-hour drive to Bucureşti can be seen as a factor in the hour drive to București city’s slower development. Ploieşti, which in 1990 had a population almost can be seen as a factor 100,000 smaller than Iaşi’s, now has an economy that is almost three times as big in the city’s slower because it has benefited greatly from its proximity to Bucureşti. While it has development initially lost human capital and firms to the capital, now it is a net beneficiary of the Bucureşti economy, as more and more people and companies move to Ploieşti because of the lower living and operating costs, and because of the ease of accessibility to the capital. What is important for the discussion at hand is how accessibility to Bucureşti would improve should the infrastructure development plan from the National Spatial Plan become reality. The remarkable thing is that, should that infrastructure be developed, most of the country would be within a 5-hour drive from the capital. Cities like Braşov and Craiova could be within less than a 2-hour drive, and the travel time from Iaşi would halve, to around 3 hours. This shortening of the travel time to Bucureşti could bring potent ial benefits to a number of other growth poles in the country – the same way Ploieşti has benefited from this proximity. 145 Figure 104. Travel times to Bucureşti with current road infrastructure Figure 105. Travel times to Bucureşti with proposed road infrastructure Access to the Constanța Finally, the third set of access maps we have developed are the access maps to port is important, as it the Port of Constanţa – a major Romanian trade gateways. Access to the opens up trade with a Constanţa port is important, as it opens up trade with a number of large global number of large global markets, such as the US, Japan, China, and other South-East Asian countries. As markets can be seen from the last set of maps in this chapter, the development of 146 proposed road infrastructure would bring most of the country within a 5-6-hour drive to Constanţa – a significant improvement over the status quo. Figure 106. Travel times to Constanţa with current road infrastructure Figure 107. Travel times to Constanţa with proposed road infrastructure In addition to the road accessibility maps, we have also developed rail accessibility maps. We basically did the same thing we did for the road access maps above, but we looked at the existent rail infrastructure, and the proposed TEN-T rail infrastructure rehabilitation and upgrade (included in Annex 7). Annex 147 8 offers a glimpse into how access to Romania’s Western border, to Bucureşti and to Constanţa will improve, once the proposed TEN -T rail work is done. Institutions that foster mobility Improving connectivity is not enough to enable more people to access Improving connectivity is opportunities. It does not matter much if it is easy for people to reach other not enough to enable places if they find it hard to settle there. In this respect, it is critical to have well- more people to access functioning land and housing markets. Local authorities can help with clear and opportunities flexible urban planning regulations, by making land and housing markets more transparent (e.g., online, free cadaster systems), and by making it easy to register property and deal with construction permits. Table 17. Ease of Dealing with Construction Permits and Registering Property, in 2012 Dealing with Construction Permits Registering Property Ease of Cost (% Cost (% of Doing Procedures Time Procedures Time of Rank income per Rank Business (number) (days) (number) (days) property capita) Economy Rank value) United States 4 17 15 26 12.8 16 4 12 0.8 Denmark 5 10 5 67 59.1 11 3 16 0.6 Norway 6 60 11 250 33.1 8 1 3 2.5 UK 7 22 9 99 63.8 68 6 29 4.7 Finland 11 45 16 66 66.6 25 3 14 4 Sweden 14 23 7 116 81.6 19 1 7 4.3 Georgia 16 4 9 74 20.2 1 1 2 0.1 Germany 19 15 9 97 49.7 77 5 40 5.2 Macedonia 22 61 10 117 552.7 49 4 40 3.1 Switzerland 26 46 13 154 40.1 14 4 16 0.4 France 29 30 10 184 13.6 149 8 59 6.1 Austria 32 76 13 194 60.8 35 3 21 4.6 Slovenia 37 81 13 199 64.9 79 5 110 2 Cyprus 40 78 9 677 47.5 123 6 42 10.3 Spain 44 38 8 182 51.8 56 5 13 7.1 Slovakia 48 50 11 286 7.2 10 3 17 0 Hungary 51 55 29 102 5.8 43 4 17 5 Armenia 55 57 18 79 57.1 5 3 7 0.3 Bulgaria 59 128 23 120 317 66 8 15 3 Poland 62 160 30 301 53.6 89 6 152 0.4 Czech Republic 64 68 33 120 10.9 34 4 25 3 Turkey 71 155 24 189 197.7 44 6 6 3.3 ROMANIA 72 123 16 287 73 70 8 26 1.2 Moldova 81 164 27 291 79.2 18 5 5 0.9 Italy 87 96 11 258 138.1 84 7 27 4.5 Greece 100 41 14 169 3.4 150 11 18 12 Russia 120 178 51 423 183.8 45 5 43 0.2 Bosnia and Herzegovina 125 163 18 181 1,112.90 100 7 33 5.3 The Ukraine 152 180 21 375 1,462.30 166 10 117 3.9 Source: World Bank 148 In the latest Ease of Doing Business Report, prepared by the World Bank, In the latest World Bank nd Romania ranks 72 overall. When it comes to dealing with construction permits, Ease of Doing Business it ranks even lower, at 123, with 16 procedures that need to be completed, and Report, Romania ranks with an average waiting time of around 287 days. Registering property is also a 72nd cumbersome process, requiring 8 procedures and 26 days to complete. In addition to land and housing markets, which should allow people to easily buy and sell properties, it is also important to have well-functioning rental markets. Especially for younger people, who do not have the funds to buy apartment property, it is important to be able to find cheap rent easily. Institutions that make things easier for migrants at their destination should A good public be doubled by institutions that increase mobility at the origin. Most importantly, education system can a good public education system can ensure that people in lagging areas have ensure that people in access to a wider array of opportunities in leading areas. To assess which areas lagging areas have could benefit most from an improvement of the education system it is important access to a wider array to first map out school performance. One of the most critical indicators in this of opportunities in sense is the result of the Baccalaureate (the Romanian high-school graduation leading areas exam). Figure 108. Leading regions had poorer school performance than lagging regions in 2011 Data Source: http://www.gandul.info/news/rezultate-bacalaureat-2011-afisate-online- 8429323 In 2011, the Ministry of Education performed a “stress -test” of sorts of the country’s education system, tightly guarding the tests designed for the Baccalaureate, asking tougher questions, and supervising each class-room by 149 video-cameras to preempt and sanction instances of cheating. The results of this session are included in the map below. Contrary to what one would have expected, some of the leading areas in Romania (e.g., Timiş, Arad, Ilfov) have had one of the poorest performance on this test, while some of the lagging areas (e.g., Suceava, Botoşani) have been star -performers. Consequently, investments in the education infrastructure should be judged on a case-by-case basis, and should strive to enable all children better school performance – no matter where they live. In fact, some of the poorer counties in Romania spend more on schooling, Some of the poorer on a per capita basis, than wealthier counties. And, as is to be expected, there is counties in Romania a correlation between the funds spent by individual counties on education and spend more on their actual performance. Of course, simply spending money in the education schooling, on a per sector does not immediately translate into better performance. However, a well- capita basis, than funded and efficient education system ensures that all of a country’s citizens, wealthier counties whether living in lagging or in leading areas, have the same head-start – i.e., one does not have to miss an opportunity (e.g., going to higher education or finding a good job) because of the lack of good education in the early, formative years. While critical for development, education is not a sufficient condition for long-term growth. A country does not only need educated people, but also While critical for people who are creative, who innovate, and who are leaders of change. development, education Romania, like most other former communist countries, had a highly educated is not a sufficient population in 1989, but that proved insufficient to help the country weather the condition for long-term tough transition that followed. In essence, public authorities in Romania should growth ensure that the education system is well-run and efficient, but at the same time they should make sure that a system is created where as many people as possible are enabled access to opportunities – whether within the country’s borders or abroad. It is easy to have a visceral reaction when a country’s best emigrate but, in the long term, a country stands to benefit more from having more people realize their potential than having them stay in the country at any cost. Extension of Public Utility Services Education and health are only two of the “institutions” that should be available everywhere to enable all citizens in the country the same head-start. In addition, the availability of good public services infrastructure is also an important factor. If people have to spend a lot of time fending for water and for firewood, or if they do not have electricity, they will be less productive than people who have easy access to these basic services. And, indeed, when the endowment with public services infrastructure is In some areas in the mapped out, lagging areas score poorer. In some areas in the East and South of East and South of the the country, less than 40% of people have access to running water and a sewage country, less than 40% connection, and the large majority does not have a central heating system. of people have access to Overall, a little over half of Romania’s population (around 11 million inhabitants) running water and a has access to running water currently, and less than half (only 45%) to the sewage connection sewage system. Consequently, some of the key investments in lagging areas should focus on providing basic services infrastructure to ensure similar standards of living throughout the country, measured according to a predefined set of indicators, such as: access to services (e.g., running water, sewage, sanitation, heating, 150 transport, public lighting), quality of service (e.g., number of hours per day of The development of access to hot water, frequency of waste collection, accessibility/distance to the public services closest mean of public transportation, etc.) and affordability (cost of service). The infrastructure may also development of public services infrastructure may also help integrate urban help integrate urban areas better. For example, a water and sewage network can be expanded to areas better serve peripheral communities. Figure 109. Endowment with public service infrastructure Data Source: National Institute of Statistics Given that some basic services infrastructure, such as water and sewage, are organized at the county level, the maps above give a good indication of where the biggest basic infrastructure needs in the country are. Looking at more refined 151 maps, at the locality level, can provide additional insights into how investments in basic services infrastructure can be prioritized. Figure 110. Cities and their surroundings have better basic services endowment Data source: National Statistics Institute 152 As the two maps above show, the more developed areas in Transylvania and in and around București also have better access to infrastructure. Generally, cities Generally, cities have have better access to basic services, as they benefit from economies of scale – better access to basic i.e., services can be organized more efficiently for larger populations and can be services, as they benefit delivered at lower prices, on average. from economies of scale It is interesting to notice that areas around developed urban areas such as București, Timișoara, Cluj-Napoca, Constanța, or Sibiu also have better access to piped water and sewage. Basically, developed cities have a polarizing effect, enabling neighboring communities to share the prosperity they enjoy. This fact Developed cities also should be taken into consideration when attempting to prioritize investments in have a polarizing the extension of basic services infrastructure. To ensure sustainability and to effect, enabling neighboring communities keep operation and maintenance costs within a manageable margin (some to share the prosperity communities will be too poor to afford water and sewage tariffs), new basic they enjoy services infrastructure should first focus on communities neighboring urban centers in lagging areas, and should take the size of these urban centers into consideration. For example, in the North East Region, the extension of water and sewage systems should focus on cities such as Iași, Craiova, Bacău, or Piatra Neamț, and their surroundings. It will be easier to extend functional service systems than to create new ones, and larger cities enable (all other things being equal) a larger scale network extension. Rehabilitation of infrastructure networks In addition to the development of new infrastructure, regional development projects should also focus on the rehabilitation of existing networks. Many In addition to the regions in Romania have come out of communism with relatively well-developed development of new infrastructure networks, but they have seen these shrink or fall apart during the infrastructure, regional transition years. Often over-dimensioned (as they assumed continuous development projects population growth), designed without life-cycle costing in mind, and poorly should also focus on the managed in the 1990s, these public services networks have not weathered well rehabilitation of existing in the past two decades. For example, almost all cities that have had a public networks transport system in place have seen this system either shrink or disappear completely (see map below). To a large extent these systems disappeared because they were not profitable, and local authorities did not know how to keep them running in an 23 environment of budgetary constraints . The disappearance of these systems however may have lowered people’s mobility and led to a higher dependence on private car use. Another issue to be considered is that a large part of work mobility for It is important to identify Romanians consists of temporary emigration. This flow of people is often one solutions for fostering way (from lagging regions to leading ones), which works in the disfavor of the circular vs. one-way former. It is therefore important to identify solutions for fostering circular vs. migration one-way migration. To increase internal circular mobility, it is critical to 23 There are of course other reasons that have led to a deterioration of existent infrastructure networks. For example, tramway networks have disappeared in cities like Brașov and Constanța, because population densities in those cities have dropped to a point where they made light rail operation un-profitable and inefficient. 153 rehabilitate and improve existent connective infrastructure. For example, relatively poorer counties like Giurgiu, Ialomița, or Călărași, have to suffer because circular mobility between them and the capital București is hampered by the relatively poor state of existent connective infrastructure. Figure 111. Public transport infrastructure has been crumbling, particularly in smaller cities and towns Data Source: National Institute of Statistics Figure 112. Localities which have expanded public transport (outsi de Bucureşti) Data Source: National Institute of Statistics 154 Prioritizing investments in public utility infrastructure Investments in public utility infrastructure need to carefully weigh operation and Investments in public maintenance costs over the life-time of the investment. For example, expanding utility infrastructure need water and sewage networks to rural areas should also take into consideration the to carefully weigh potential difficulties that pertain to people’s resistance toward paying for this operation and service. Costs for expanding water and sewage infrastructure vary according to maintenance costs over the specific local factors (geography, availability of water source etc.) and they the life-time of the may overpass the affordability threshold of some potential customers. Last but investment not least, people living in rural areas are traditionally used to having their own drinking/residual water source from wells, fountains, etc. In sanitation, investments made by local administrations in recent years were quite minimal and tariffs remained on average at a low level. Over 40% of Over 40% of the the country’s population, mostly in rural areas, continues to lack this service. Romanian population Important investments are expected in the future financial exercise, but those continues to lack proper will be managed by county councils. A current project for integrated waste sanitation services 24 management in one county has an average budget of 30 million EUR. In total, over 950 million EUR have been contracted in 2012 for 37 counties under the Environment Operational Programme 2007-2013, as shown in the map below. Figure 113. Counties with the largest contracted sums under OP Environment, for solid waste management projects (in 2012) Source: Romanian Institute for Public Policy (IPP) Currently, Romania is preparing for the next National Strategy for Waste Management 2014–2020, which should also focus on orienting future investment 24 Financed through the Environment Operational Program 155 in integrated waste management systems while taking into consideration other important aspects, such as:  Providing fair access and affordability standards of the service for people living in both urban and rural areas, while carefully assessing the prospect of expanding the infrastructure (similar to the case of water and sewage, in rural areas people reuse packaging waste or burn residual household waste);  Meeting the European Waste Directive requirements with regard to the thresholds for recycling of different types of waste (paper, metal, glass, and plastic). One of the most problematic public utility services in Romanian cities nowadays One of the most is heating. In recent years, more and more Romanians have disconnected from problematic public utility this service (only 30% of the urban population is now connected to the services in Romanian centralized district heating system), while local authorities are by and large cities nowadays is dependent on government subsidies (from the Reserve Fund) to keep these heating systems running. In 2012, more than 100 million EUR of central government transfers were needed to keep many of the district heating systems in Romania running. The fact that only 6 municipalities and one county have accessed district heating projects through OP Environment (totalling around 200 million EUR) indicates that this public utility sector is still not seen as a priority by most local authorities, although heating costs represent a significant share of many households’ budgets. Figure 114. OP Environment investments in urban heating systems (in 2012) Source: Romanian Institute for Public Policy (IPP) 156 Finding solutions to the problems faced by centralized heating systems in urban areas in Romania (micro-heating systems, quartal power-stations, etc.) should be a priority for policy makers, as the sector represents a burden for many local 25 budgets. Existing systems should basically be adapted to the actual energy consumption and power producing capacity (for co-generation plants). The way spending on public services will be prioritized should ideally be The way spending on decided at the lowest possible administrative level, according to the subsidiary public services will be principle. It should be the communities that decide what is most important to prioritized should ideally them, not the central government. At the same time, central authorities should be decided at the lowest monitor the way spending is done to ensure that the poor and marginalized possible administrative communities are not missed. For example, a number of regressions done by a level World Bank team showed that spending on education, housing, and transport negatively correlated with a higher concentration of Roma population. In other words, fewer investments were channeled to Roma than non-Roma communities. And, in fact, when one looks at the data, it is easy to see that the Roma in Romania are a disproportionately higher share of the people with no access to running water, sewage, a bathroom, a kitchen, or electricity. Institutional improvements for better service delivery Expanding, rehabilitating, and prioritizing investments in public utility Expanding, infrastructure are only parts of the story. These investments run the risk of being rehabilitating, and nothing more than a waste of money if they are not properly managed over their prioritizing investments life-time. Models of management of public services are important when in public utility discussing the effectiveness/profitability of quality service delivery. Currently, in infrastructure are only Romania, there is an emerging market for public services estimated at around 12 part of the story billion EUR annually (investment and capitalization from tariffs/contracts with public authorities), however, the management quality of different public services varies across the country. The synopsis below summarizes different models of public service management/information with regard to the financial investment per type of service. Policy makers should focus more on the managerial aspect of public utility services, generating a proper framework that should further foster:  Greater/more open competition between private providers of public utility services. It is important here to make the distinction between “competition for the market” in the case of natural monopoly-type (e.g., water distribution systems) and oligopoly-type (e.g., street lighting) services, and “competition in the market” for services with low entry costs ( e.g., waste collection).  Introducing minimum quality and cost standards for each public utility service for ensuring a fair access of the population to basic quality and boosting competition between service providers, where appropriate.  Providing proper conditions for a competitive market in public service 26 delivery by limiting concessions to a set number of years. 25 Source: http://www.ipp.ro/pagini/guvernul-r259spunde-pentru-gaura-neag.php 26 Currently, there are instances in Romania where a public service (e.g., sanitation, public lighting) is awarded though a concession contract to a private service provider for a period 157 Table 18. Synopsis on models of public utility services management and related cost/investment information – 2012 Public Managed by: Direct or Average tariff/cost of Average amount service delegated the service related to invested in the management the population service in one locality/county Solid waste At present, town Service assigned in Average tariff – 7,3 Approx. 30 million EUR – manageme councils; but eligible for proportion of 85%. RON/person/month average value of a nt financing from structural Except for the project for the funds for projects on municipalities of Approx. amount development of integrated waste Alexandria, Galaţi, collected per one integrated waste management are county Giurgiu, Târgovişte locality/county from the management councils and population in one year– Intercommunity 3.44 million EUR Development Associations, which are taking over this service Water and Regional operators – 100% administered Average tariff – 3.9 Approx. 90 million EUR – sewage trading companies with by the regional RON/cubic meter. average value of a full/majority state operator project for the expansion capital, the main Approx. amount and modernization of shareholders being: the collected from the water/waste-water County Council, the population in one year systems Town Council of a county by the operator – 12.4 seat, the town councils million EUR of the localities in the county that are connected to the water supply system District Town councils 70% - delegated to Average cost of Gcal – Approx. 55 million EUR – heating heating companies, 221 RON average value of a 13% directly; in 16% project for the of the municipalities Average value of subsidy rehabilitation of district that are county seats – 138 RON heating systems in order there is no longer to comply with any centralized Approx. amount environmental standards district heating (e.g., collected by a district on pollutant emissions in Bistriţa, Satu Mare, heating company from the atmosphere and for Sfântu Gheorghe, the population in one the increase of energy Slatina, Slobozia, year – 8.14 million EUR efficiency in supplying Târgu Jiu) urban heating Roads County councils – county Work contracts with Average cost of street Approx. 6.6 million EUR roads various operators modernization: 614,000 – average value of a 2 RON/km project for the Town councils – municipal rehabilitation / street networks modernization of the road network Source: Romanian Institute of Public Policy (IPP) of 49 years, with the possibility of prolonging it for another 25 years – a situation which severely limits free competition for the respective service. 158 At the same time, with respect to the central government, revised institutional arrangements for a more effective management of public utility services in Revised institutional Romania are of utmost importance at this stage of development. First and arrangements for a foremost, a benchmarking system for establishing intervals for service more effective management of public price/tariffs variation correlated with minimum quality parameters should be utility services in established through formal regulation. A first attempt in this endeavor belonged Romania are of utmost to the former Ministry of Administration and Interior – currently the Ministry of importance Regional Development and Public Administration, which manages an application 27 for monitoring performance indicators of public utility services (PUS) . The on-line reporting system – Module 1 for PUS monitoring includes an average number of 7 project indicators for each PUS (measuring accessiblity, quality, customer satisfaction, price and operational costs ). The second Module for LSPU Monitoring includes development objectives per each PUS, sources of financing, provisioned date of execution. The system is designed for self- administered accounts for all localities in Romania (around 3,300) and was supposed to become functional starting with January, 2013 (see excerpt below). Figure 115. Monitoring system for local public utility services This output may be further used for institutionalizing the benchmarking system and the minimal obligations for local authorities to report back to the central 27 As a result of a project implemented with support from the Administrative Capacity Operational Program, SMIS 2903 159 authority designated indicators designed for each service on a periodical basis. Last but not least, a special attention should be paid to ensuring fair and open conditions for competition on the public utility services emerging markets. Integrating Marginalized Communities – Targeted Efforts for Inclusive Growth This report fundamentally argues that development is about people – all people who make up a country’s economic and social system. Economic growth emerges Everywhere around the from connecting people to opportunities and enabling them to realize their full world, and Romania potential. But everywhere around the world, and Romania makes no exception, makes no exception, there are people who face special challenges in sharing the benefits of there are people who development. They are marginalized, disenfranchised, and often overlooked by face special challenges in policies that are meant to promote growth. Interestingly, marginalization is not sharing the benefits always proportional to distance from economic mass: indeed, many poor of development communities reside in the proximity of large cities and sometimes right in the downtown areas (e.g., historical centers). Still, despite this fact, they remain unable to access educational and professional opportunities that would allow them to break the vicious cycle of poverty and reap the benefits of truly inclusive, sustainable growth. At a conceptual level, following the framework of the World Development Report 2009, marginalized groups face specific constraints when it comes to the three spatial dimensions of economic growth – density, distance, and division. Some of these groups fare poorly on all three dimensions, and remain isolated Prosperity may, in the from centers of economic activity. But even those living and working (formally or long term, spread informally) close to places that are densely populated, remain out of the throughout a rapidly equation. They are not properly integrated into the community and into the growing economy and labor market, so scale economies and agglomeration do not “work” in promoting lead to internal productivity growth and development, as typically expected. Migration in search convergence, but of better opportunities is equally ineffective, because isolation often persists pockets of poverty will wherever these groups (re)locate. Moreover, the benefits of economic growth do persist in the absence of not automatically spill over to areas inhabited by marginalized communities. targeted interventions Prosperity may, in the long term, spread throughout a rapidly growing economy and lead to internal convergence, but pockets of poverty will persist in the absence of targeted interventions. The key factor at work is discrimination, which often applies to all groups battling poverty, but remains most significant vis-à-vis the Roma minority. That Discrimination against translates into a chronic lack of access to jobs, education, health, and public minority groups services. In some cases, people lack formal documentation and are unable to translates into a chronic register to go to school, vote, or receive medical care and other social benefits. lack of access to jobs, Marginalized communities are therefore caught on a daily struggle to secure education, health, and basic necessities, and are left with few options for acquiring valuable skills, public services increasing their productivity, and earning the kind of wages that would allow them to improve their standard of living and offer their children a proper education and the opportunity to lead a better life. At the same time, the broader economic system misses out on key resources that could contribute to further economic growth and productivity gains. Beyond the moral imperative of integration, the status quo is a “lose-lose situation” that will not be resolved through the typical measures aimed at creating spatially blind institutions and 160 connective infrastructure. Instead, targeted, spatially focused interventions are needed to address the challenges faced by marginalized communities across Romania. This chapter seeks to offer some potential answers to the key question of what is needed to integrate marginalized communities and enable inclusive growth. To this end, the first section describes the key characteristics of marginalization in Romania, building on findings from another ongoing project on “Elaboration of Integration Strategies for Poor Areas and Disadvantaged Communities.” A major focus is on the Roma minority, which still represents an important share of poor and marginalized groups in Romania. Further, the current study makes the case for addressing the challenges faced by marginalized groups. The last section provides a summary of key interventions that would promote integration, with a special focus on the tools directly available to the Ministry of Regional Development and Public Administration. Marginalization: Key Facts and Persistent Challenges Definition, Identification, and Typology There have been multiple efforts to characterize disadvantaged communities according to a set of clear criteria and indicators. One of the most powerful definitions comes from UNESCO: “ Marginalization occurs when people are Leaving people out of a systematically excluded from meaningful participation in economic, social, society’s efforts to political, cultural and other forms of human activity in their communities and thus achieve development is 28 are denied the opportunity to fulfill themselves as human beings.” Leaving not only profoundly people out of a society’s efforts to achieve developmen t is not only profoundly unjust, but it also affects unjust, but it also affects the very prospects of successful growth. This is the the very prospects of fundamental principle of this entire report: if individuals cannot access the successful growth opportunities needed to reach their full potential, society as a whole loses. As noted in the ongoing World Bank study on “Identification of Disadvantaged Urban Communities,” areas of extreme poverty tend to be more Areas of extreme common within urban settings. This is not to say that there are no poor people in poverty tend to be rural Romania, but that the challenges specific to cities are typically more more common within pressing. Equally relevant for the current work is the fact that the Ministry of urban settings Regional Development and Public Administration (MRDPA) – as well as the Regional Operational Programme (ROP) – has an important ability to intervene and generate positive impact in urban settings. As such, this section maintains a consistent focus on cities, in line with the rest of the report. One typology that is useful for better understanding marginalized communities in Romania comes from a 2001 study on the definition and profile 29 of poor zones. The authors identified four categories, which are still relevant today: garbage pits, including improvised shelters, with residents searching for scrap metal or other potentially useful goods; historical town centers, where ownership of some dwellings became uncertain after the fall of the communist regime; ghettos, with low-comfort blocks of flats; disaffected industrial areas, 28 International Consultative Forum on Education for All (EFA Forum), UNESCO, Status and Trends, 2000. 29 Stănculescu and Berevoescu, “Sărac lipit, caut altă viață! Fenomenul sărăciei extreme și al zonelor sărace în România 2001,” (2004), Ed. Nemira, București. 161 often at a city’s periphery, with disaffected housing uni ts that had once been inhabited by workers at nearby plants or factories. Building on this work and on an extensive review of other studies on this topic, the project on the “Identification of Disadvantaged Urban Communities” proposed to focus on four main criteria for defining such areas: human capital (health, education, and demographic trends), employment, housing quality, and ethnicity. The latter was chosen, in particular, to identify locations where the Roma reside because they face the added obstacle of discrimination and, also, there are some interventions that offer dedicated-funding for Roma. Three main types of disadvantaged communities resulted from this review, as well as from qualitative research on the ground: 1. Economically disadvantaged cities usually demonstrate a declining local economy, generalized lack of jobs, lack of educated workforce and few available opportunities to develop skills. 2. Areas with poor access to infrastructure o Village-type neighborhoods are mostly located at the periphery of cities, with predominantly older residents, and typically include individual houses with small gardens. There is some subsistence agriculture. Taxes are relatively high because of the proximity to urban settings, but infrastructure endowment is more typical of rural areas (lack of gas, running water, sewage, etc.). o Emergent residential areas are new neighborhoods in city suburbs, primarily occupied by young people (based on Law 15/2003, they were granted land concessions to build homes). While these are new communities, basic infrastructure is lacking, and there are unclear obligations on local authorities to provide for the extension of utilities to these areas. 3. Marginalized areas o ‘Ghettos’ of low-quality blocks of flats are located throughout various Romanian cities, whether closer to the downtown areas or more toward the periphery. These were built before the 1990s, for the workers of socialist-era, state-owned enterprises. Apartments are small and overcrowded, housing house large families, typically with many children. The proportion of Roma is above the national average. o Slum areas of houses and/or improvised shelters are located at the periphery of cities and typically date from after 1990. They often include Roma traditional communities. Houses/shelters are small, of poor quality (at best, made of adobe), and usually lack all basic infrastructure. o Modernized social housing is usually built by local authorities to accommodate previous slum residents in new buildings with basic services and, in some cases, includes nearby social centers and educational facilities. Despite its more recent 162 development, the location of modernized social housing tends to be far away from the city center and there are important risks of aggravating isolation. o Social housing in historical city centers compromises old houses that were nationalized during communism and have maintained unclear or changing ownership status. Some of them are in the process of restitution to their former owners, so current residents face the risk of eviction. These types of homes also tend to include large proportions of Roma people. Spatial This typology helps draw a relatively straightforward picture of marginalized marginalization also communities. Spatial and societal isolation are usually obvious, even in newer means that basic communities that have been built far away from cities’ core centers of activity. infrastructure rarely This means that groups in the society at large have few contacts with these reaches these groups or, communities, which risks aggravating stigma and discrimination. Spatial if it does, it tends to be marginalization also means that basic infrastructure rarely reaches these groups poorly maintained, or, if it does, it tends to be poorly maintained, costly, and with frequent costly, and with frequent malfunctions. malfunctions The figure below is from Cluj-Napoca, but a similar situation exists in other cities around Romania: while in geographic terms the location of marginalized groups can be in the proximity of urban centers, in reality the economic distance they have to overcome (i.e., factoring in the time it takes to reach particular professional opportunities) is significant. For example, most of the Roma communities in Cluj-Napoca are clustered around an area physically separated from the rest of the city by a rail line and an industrial area. There are few transport lines servicing the area, and access by car to the city is possible only through a few railway crossings. Figure 116. Location of Roma communities in Cluj-Napoca Marginalized groups also have a more limited skillset and lower productivity, and their ability to improve is severely constrained by inadequate educational and 163 professional development opportunities. Unsurprisingly, unemployment is rampant, as there are very few openings for formal work, with adequate benefits (e.g., health insurance, professional insurance, maternity leave, retirement pensions, etc.). In demographic terms, poor families tend to be more numerous, an In demographic terms, observation that holds almost universally, regardless of ethnicity. The average poor families tend to be age is lower within such communities, compared to the national level, with more numerous, an young residents exceeding 50% (i.e., people under 30 years old). Life expectancy observation that holds is also lower, and child mortality tends to be higher, reflecting the harsh living true almost universally, conditions, poor quality of medical care, and lack of safety. There are few, if any, regardless of ethnicity police stations and firefighting units to intervene when called upon or as necessary. The four maps of Cluj-Napoca, included below, show the correlation between the spatial distribution of the Roma population (particularly to the North and West of the city) and various indicators typical of marginalized communities: larger average household size, higher proportions of unemployed people, and fewer households connected to proper sanitation networks. Figure 117. Average household size (top left), unemployed population (top middle), households connected to the sewage system (top right) vs. distribution of Roma in Cluj-Napoca (bottom) 164 Common Challenges Marginalized communities face a number of common challenges. A first set of Marginalized issues is related to the legal and regulatory barriers, starting with the basic communities face a question of unavailable documentation. Several factors are at work: some number of common members of disadvantaged groups were never issued identity papers (although challenges: legal and authorities have reportedly made progress on addressing this); proper property regulatory barriers; lack papers are often missing, particularly in the case of older buildings passed on of access to basic from generation to generation; and the law does not allow making those who infrastructure; lack of reside on the public domain rightful land owners. All this has an impact on access to proper people’s ability to receive benefits, enroll in school, receive medical care, apply employment for jobs, etc. opportunities; lack of A second, related set of issues concerns the lack of access to basic access to proper infrastructure (water and sanitation, electricity, gas, heat). Sometimes, the education; social barriers location of marginalized communities makes it hard to extend public utilities’ coverage to these isolated areas, particularly when the pool of potential new customers is relatively small and poor. Other times (e.g., old, historic neighborhoods and recently modernized social housing), basic services infrastructure does exist or has been recently built, but many users simply cannot afford to pay the monthly fees (even with potential subsidies), so they end up incurring large debts and getting disconnected. In some cases, billing works as such that an individual who defaults puts an entire group of residents at risk of incurring penalties or getting disconnected from the network. There are also communist-era buildings where overcrowding leads to excessive use of systems that are of poor quality in the first place, generating damages and blackouts. Third, there is a chronic lack of access to proper employment opportunities . This is related to people’s inability to attend school and/or other professional training, as well as to the deficient or absent medical care, which means ills people cannot recover quickly to return to productive employment. All this means that there are very few options for earning any kind of income. These include casual work, begging, prostitution, theft, and other criminal activities. Even people who have the documents and go through the process of accessing social benefits cannot afford all the monthly expenses they incur and, when resorting to informal/illegal work, they risk getting caught and having all their benefits canceled. The tough living conditions, along with the stigma associated with living in a particular area or being part of a specific ethnic group, severely limit the number of available employment opportunities. Fourth, the education system has failed to deliver the tools needed to integrate marginalized groups into the labor market. In some cases, schools have become segregated, as non-Roma poor children transfer to other educational facilities. As the report on “Identification of Disadvantaged Urban Communities” notes, “[much like] poor communities are left by the population with higher welfare, schools attended by Roma children are left by the Romanian children and by those with good results.” This leads to reduced quality of education and generates, from an early age, disillusionment and frustration. Later on, path dependency also plays a role: with low education levels and a higher risk of early “entry” into the informal economy, it becomes hard for people to escape the vicious cycle of lack of resources – lack of education – lack of opportunity. Even if a young couple completes some schooling, the tough living conditions make it 165 very hard to invest time into personal development and becoming more marketable to employers, when the primary concern revolves around securing basic necessities – housing, food, and water. Last but not least, there are significant social barriers both within marginalized communities and in the broader environment. Internally, disadvantaged areas tend to be unsafe and are sometimes dominated by gangs, which can take advantage of young people and involve them in criminal activities. Major constraints also originate from outside these communities in the form of discrimination and indifference, which have generated feelings of helplessness, lack of confidence, and shame among members of marginalized groups. This has been noted by many studies and was also evident during the research effort undertaken as part of the project on “Elaboration of Integration Strategies.” The main cause appears to be discrimination, which entertains a general feeling of vulnerability and lack of security, in all aspects of life (family, housing, school, employment, social networks, etc.). All these factors reduce people’s individual chances of escaping poverty, but they also foster mistrust and disillusionment, undermining their ability to come together as a collective and speak with one voice, particularly in relationship to local and national-level decision-makers. Policy makers cannot address this wide and diverse set of challenges through Policy makers cannot simple, one-dimensional approaches. Many issues are related to poor living address this wide and conditions (overcrowding, low-quality housing, poor basic services, etc.), but diverse set of challenges other key ones have more to do with broader constraints faced by marginalized through simple, one- communities (lack of education, inadequate healthcare provision, poor access to dimensional approaches financing, difficult entry into the job market, etc.). Together, all these factors point to the need of having an integrated, multi-dimensional approach that both improves physical living conditions and allows disadvantaged groups to succeed in the long term. This chapter’s final section on interventions to address current challenges explores this issue in greater depth. Roma and Non-Roma Poor Notably, only around 620,000 people in Romania have declared themselves to be Only around 620,000 30 of Romani ethnicity at the last census (2011). In reality, however, it is believed people in Romania have that their number is much larger. The National Strategy for Roma Inclusion 2012- declared themselves to 2020 references several statistics for the total size of the Roma minority: 535,140 be of Romani ethnicity (2002 Census); 730,174 (low estimate), 851,040 (average estimate), and 970,000 – their number is (high estimate) from the “Roma Communities Social Map” survey in 2005; finally, believed to be much the EU Framework for National Roma Integration Strategies uses an average higher though estimate of 1,850,000 and a high estimate of 2,500,000. Some of this variation is caused by the fact that, fearing discrimination, many Roma declare themselves Romanians, Hungarians, or of another ethnicity. This makes it harder for policy makers and researchers to identify the exact number of Roma, whether they are located, and how they can address the challenges that this marginalized group faces. That said, it is beyond any doubt that the Roma represent a large proportion of Romania’s poor population. As noted in the National Strategy for Roma Inclusion 2012-2020: “they represent 20.6% of people living in absolute poverty, 30 See http://www.recensamantromania.ro/rezultate-2/ 166 35.2% of people living in severe poverty, and 44.4% of people living in food The Roma minority 31 poverty.” Moreover, the absolute poverty rate for Roma (at 25.4%) is still 6 32 represents 20.6% of times higher than the rate for the total population in Romania (4.4%). Of people living in absolute course, the issues that poor people face, Roma and non-Roma, are often similar poverty, 35.2% of (lack of access to opportunities, tough living conditions, lack of education and people living in severe poor health, etc.), although the former often have to face the additional burden poverty, and 44.4% of of discrimination. Indeed, data show that 38% of Roma looking for jobs over the people living in food duration of one year (i.e., 2009) were discriminated against by potential poverty 33 employers. In designing interventions, the question of targeting is paramount, and a key insight of this report is that the Roma population does not always overlap with the poorest regions in Romania. The first map below shows the distribution of the Roma population that has identified itself as such for the 2011 Census. A distinct pattern emerges: the Roma are predominantly clustered around the Western border of Romania, in the heart of Transylvania – usually around large urban centers like Timişoara, Arad, Oradea, Cluj -Napoca, Târgu Mureş, and Sibiu – and to the South-West, between Craiova and Drobeta-Turnu Severin, close to the border with Bulgaria and Serbia. However, as the 2002 poverty map shows (the second map represented below), the poor population in Romania tends to be clustered in the East and The Roma population South of the country – areas that according to the Census have a relatively low does not always overlap concentration of Roma. Consequently, policy makers should keep in mind that with the poorest regions measures aimed at addressing the challenges faced by poor and marginalized in Romania groups in general may not have a direct impact on large segments of the Roma minority for the obvious reason of lack of geographic overlap. Moreover, it is important to note that areas with a high concentration of poor people are often not identical to areas with the highest absolute number of the poor. More specifically, well developed areas, such as large cities, often have high absolute numbers of poor people. However, the poor in these cities are a smaller share of the total population of a particular urban area. On the other hand, in small rural areas, the share of the poor can be higher, while the absolute numbers will be lower. All these distribution patters should play a key role in how policy makers target intervention measures for each particular disadvantaged community. At a conceptual level, most of the arguments in this chapter apply to all marginalized communities in Romania. For example, both the disadvantaged Policy makers should Roma in the West and the non-Roma poor in the East need better access to keep in mind that public services, connective transport infrastructure, better health and education, measures aimed at etc. Demographics are relatively similar, as is the potential of boosting economic addressing the growth through their effective integration. Again, this is not to say that all these challenges faced by poor groups are exactly the same – the arguments above, as well as the two figures and marginalized groups below, help underscore the exact observation that community-specific targeting in general may not have is often needed to generate positive results. In short, policy goals and (some) a direct impact on large general characteristics may be similar across marginalized communities, but segments of the Roma specific intervention types and designs have to be context-specific. 31 See The National Strategy for Roma Inclusion 2012-2020, p. 6. 32 Ibid. 33 Ibid., p. 12. 167 Figure 118. Distribution of Roma population in 2012 (preliminary results) Data Source: National Statistics Institute Figure 119. Romania 2002 Poverty Map 168 For a better correlation of development performance and presence of Roma communities, we have developed the map below. The map makes a correlation between the Local Human Development Index (see Annex 9 for methodology) and the presence of Roma communities. The map again comes to underscore There seem to be a large that a large share of the poor localities in the East and the South of the country number of poor localities actually have a low concentration of Roma. On the other hand, the map also to the south and east of brings forth a number of interesting patterns. For example, there seem to be a București, which also large number of poor localities to the south and east of București, which also happen to have a high happen to have a relatively high concentration of Roma. The fact that these concentration of Roma communities are so close to the country’s premier economic engine, but still fail to benefit from spillover effects, underscores again the need for measures that are specifically targeted at marginalized communities. Figure 120. The correlation between poverty and presence of Roma 169 About 44% of the rural population lives in conditions of relative community poverty (lower values of education stock, material capital, life expectancy at birth and higher average age for adults). The majority of these relatively poor live in The highest communities without any Roma population (as shown above). The highest concentration of poverty concentration of poverty in communities with a high share of Roma is in the in communities with a Center and North-West regions. These are also the regions with the highest high share of Roma is in concentration of Roma population in the country. The non-Roma rural poverty is the Center and North- specific for North-East, South-East and South-West development regions. West regions Table 19. Rural population of Romania by poverty type of locality and development region Share of population living in communes that are… Development poor without poor with low poor with high region non_poor Roma share of Roma share of Roma Total NORTH-EAST 45.7 45.1 7.0 2.3 100.0 SOUTH-EAST 41.6 38.0 17.1 3.2 100.0 SOUTH-WEST 46.8 34.3 12.6 6.3 100.0 SOUTH 54.1 23.4 18.2 4.3 100.0 WEST 79.8 9.8 8.5 1.8 100.0 NORTH-WEST 64.9 9.3 17.8 8.1 100.0 CENTER 78.4 5.1 8.3 8.2 100.0 BUCURESTI 93.9 2.9 3.2 0.0 100.0 Total 56.5 26.0 12.9 4.6 100.0 Note: Distinction of poor vs. non-poor communities is based on values of the local human development index computed for each locality for Romania, data set 2011 ( LHDI 2011, see Annex 9). A high share of Roma population is considered to be above the conventional threshold of 10%. In spite of the fact that poor communes, with or without a significant share of Human capital, given Roma, have a similar degree of low development, their community capital mainly by education, is structures are different. Human capital, given mainly by education, is much lower much lower in in communes with large shares of Roma compared to communes with non-Roma communes with large population (see table below). Health capital, measured by life expectancy at shares of Roma birth, is also lower in poor communities with Roma versus those that are poor but with no Roma inhabitants. Table 20. Poverty has different structures Type of rural commune poor without poor with low poor with high Dimensions of community capital non_poor Roma share of Roma share of Roma Total human 55.4 40.4 41.5 33.2 48.7 health 55.4 44.4 43.3 41.4 50.3 material 57.2 41.3 44.0 44.9 50.7 vital 57.2 45.4 42.7 56.2 52.1 Local Human development index 64 46 47 46 56 (LHDI) The three types of community rural poverty described above are specific not only by their capital structures but also function of the pattern of factors conditioning them (see table below). It is true that there is a large set of factors that favor 170 poverty in all the three types of communes (without Roma, with a large share of Roma or with a small share of Roma). Large communes located in hilly or mountain areas tend to be mostly non-poor, irrespective of their ethnic composition. Similarly, high rates of emigration for work abroad and commuting to the nearby cities for work reduces the chances of poverty for all the three types of communes. The specific factors favoring poverty in non-Roma communes are proximity Factors that favor to large cities, a long distance between the reference commune and the nearest poverty in non-Roma city of more than 30,000 inhabitants, and the high rate of return migration into communities do not the villages of the commune. seem to play a All the above mentioned factors do not play a significant role for the poverty significant role for the in communities with larger percentages of Roma. Proximity of the rural locality to poverty in communities an European road reduces the probabilities of poverty for non-Roma with larger percentages communities but has an insignificant role on the poverty in communes with large of Roma shares of Roma. Why some of the above mentioned factors are significant for the poverty in non-Roma communities but not for communities with higher concentration of Roma? The available data do not allow us to answer the question in quantitative terms. It is very likely hard to capture socio-cultural factors as discrimination play an important role in fostering poverty in this case. Table 21. There are common and specific factors for the three types of community rural poverty Type of commune Factors influencing commune poor with low share poor with high share of poverty poor without Roma of Roma Roma Large population in the nearest favours poverty insignificant influence insignificant influence city Commune of large disfavours poverty disfavours poverty disfavours poverty demographic size High emigration rate abroad for disfavours poverty disfavours poverty disfavours poverty work Large share of commuters disfavours poverty disfavours poverty disfavours poverty working in cities High rate of return migration favours poverty favours poverty insignificant influence into commune Isolated commune, far from city favours poverty favours poverty insignificant influence Commune close to European disfavours poverty disfavours poverty insignificant influence road Commune location in mountain disfavours poverty disfavours poverty disfavours poverty or hilly areas vs. plan location County of high GDP/capita disfavours poverty disfavours poverty insignificant influence The table above presents in a simplified form the results of a multinomial regression analysis with type of poverty as dependent variable (non-poor communes as reference categories). Rural and ethnic conditioned poverty have a serious dependence on regional frames. The idea that one national measure or policy could act with equal probability impact is not supported by the available 171 data. Policy actions to favor one form of territorial mobility or another will have, 34 very likely, different impacts in different regional frames . Good social diagnosis at the national and the regional level could help policy makers take appropriate decisions. A good example is related to the role of territorial mobility in reducing or increasing the chances for different types of rural poverty. The severe decline in rural to urban commuting for daily work, after 1990, largely contributed to increasing community poverty in general, and community poverty for communes with large shares of Roma population in particular. The low level of rural to urban commuting has a maximum impact in North-East and Central regions and a minimum (but also significant one) in the South-East region. The policy implication is that efforts to increase village-to-city commuting for rural Roma could have a significant, highly positive effect on reducing poverty. Work emigration abroad has a higher impact on reducing rural- Roma poverty especially in the Central and North West regions. It is not clear why emigration abroad has no effect in reducing poverty in non-Roma communities from the South-West region. Its effect, in the same region, for Roma communities seems to be the reverse, of increasing local poverty. And finally, return migration from cities to villages has a high negative impact on rural Roma poverty, especially in North-West region. Broader Mobility Challenges for Minority Groups Another group that faces some mobility challenges, although of a different nature, is the Hungarian minority. While quite upwardly mobile and often with Another group that faces well-established business communities, there are some groups (particularly in some mobility the Szekler Region spanning the Covasna, Harghita, and Mureş counties), which challenges, although of a face mobility challenges within Romania. In particular, people living in the different nature, is the relatively poorer Harghita and Covasna counties form a compact group that Hungarian minority remains relatively insulated (see map below). Surely, it is natural for the Hungarian minority to want to preserve its identity and cultural values, but politics sometimes play a disproportionate role in an area where markets should have more leeway. In the long-run, if the people living in these areas will not be able to access opportunities offered by the large urban growth centers in Romania, they may see their overall welfare fall behind. Ways in which the Hungarian minority, and particularly the Szeklers can become more mobile has to be assessed from case to case, and it should ideally be supported by the Hungarian political and community leaders, and by the Another vulnerable Hungarian intelligentsia. It is important to realize that in a world that is becoming group that is currently increasingly inter-connected, those who are least mobile risk falling behind. excluded from the Another vulnerable group that is currently excluded from the economic economic perspectives of perspectives of development, despite the potential of its members, is that of the development, despite the persons with disabilities. Nowadays in Romania a person with a disability potential of its members, (although he/she may be brilliant in a certain specialization) is often relegated to is that of the persons becoming dependent to the State and to family members. For them, accessibility with disabilities 34 This paragraph is based on interpretaion of multivariate analysis (multinomial logistic regression) having the community type of poverty as dependent variable. The same regression model was applied for rural data sets on each development region. 172 to public transport, education, and adapted workplaces is rare. Out of a total number of almost 700,000 persons with disabilities living in Romania today, only 35 29.025 persons have a job . Targeted measures are therefore needed to encourage people with disabilities to shift from passive assistance to active involvement in the labor market. Figure 121. Distribution of Hungarian population in 2012 Data Source: National Statistics Institute The Case for Integrating Marginalized Communities From a moral standpoint, marginalization is simply unjust. A famous and useful thought experiment was put forth by philosopher John Rawls in “A Theory of From a moral standpoint, 36 Justice.” Suppose all people are in the “original position” of determining how marginalization is simply their society should look like, but they know nothing about their individual unjust competencies, talents, and position in the social hierarchy. In R awls’ terms, in this hypothetical scenario, people are covered in a “veil of ignorance” that helps them leave aside any personal biases and think about a just society for all – that way, even if they end up in a least favored position once the veil is lifted, they are guaranteed to have the minimum conditions to succeed in society. It follows that a just society should allow for equal opportunity among all people, regardless of 35 Sources: www.ipp.ro/protfiles.php?IDfile=170, 36 John Rawls, “A Theory of Justice,” The Belknap Press of Harvard University Press, 1971. 173 their ethnicity, gender, income, etc. By the same token, a society where communities are marginalized and discriminated against falls short of the Rawlsian vision. To take one example from the Romanian context, a child born as a Roma simply has a much lower likelihood to succeed than a non-Roma child, ceteris paribus. At the social level, marginalization generates lack of cohesion, At the social level, disempowerment, and conflict. It is typical to observe friction between majority marginalization and minority groups, aggravating segregation and discrimination over the long generates lack of term. If non-Roma children, for instance, are told not to sit next to a Roma cohesion, colleague, they may develop reticence toward the entire Roma community from disempowerment, and a very early age. Such stereotypes are very hard to change later on, as they get conflict engrained in public consciousness. Marginalization also implies isolation, which means that contacts among people from different communities are rare, either because there is physical separation or because of preexisting biases. Based on field observations, the ongoing World Bank study on “Elaboration of Integration Strategies” shows that marginalized groups are “characterized by low self - 37 esteem, lack of confidence in others, [and] lack of trust in institutions.” There is also a widespread feeling of helplessness, originating in both actual and perceived constraints. Residents of disadvantaged communities firmly believe that the system can Residents of never work to their favor, and they thus have to resort to any means to succeed disadvantaged – and success is often equivalent to making money. In such an environment, communities firmly collective mobilization and empowerment are challenging. Society fails to believe that the system properly engage marginalized communities, which in turn are rarely part of the can never work in their broader social fabric and become highly skeptical, almost by default, of any favor, and thus have to initiatives aimed at their integration. Disillusioned and disenfranchised, most of resort to any means to these groups cannot effectively influence decisions at the political and succeed administrative level, so most of the fundamental changes of their condition depend on some type of outside action (e.g., by a donor, NGO, etc.). While praiseworthy and based on good intentions, such interventions also tend to be unsustainable in the absence of strong buy-in from the local communities, so the vicious cycle of marginalization, discrimination, and poverty may remain unchanged in the long term. Additionally, there is a strong economic case for the integration of marginalized communities. In particular, available statistics on Roma tell a 38 powerful story about why inclusion is smart economics. First, the employment There is a strong gap of Roma is 13% in Romania, with an average wage gap of over 60%, based on economic case for the 2008 data from the Family Budget Survey (National Institute of Statistics). The integration of key insight, however, comes from looking at long-term trends: with an aging, marginalized declining population that will increasingly struggle to cover pensions and communities retirement benefits, Romania – much like many other EU Member States –could benefit greatly from proper labor market integration of marginalized groups. Going back to the arguments made in the beginning of this report, economic growth depends on two factors – the size of the labor force and individual 37 “Elaboration of Integration Strategies,” p. 17. 38 These data are from Joost de Laat et al., “Roma Inclusion: An Economic Opportunity for Bulgaria, the Czech Republic, Romania, and Serbia,” World Bank Europe and Central Asia Human Development Sector Unit Policy Note, 9/30/2010. See www.worldbank.org/roma. 174 productivity. On both counts, inclusive growth that effectively engages disadvantaged communities, including the Roma, promises to (a) increase the Roma are entering the sheer number of active workers in the economy and (b) deliver significant labor force at much productivity gains among members of marginalized groups, provided that proper higher rates that the educational and skill development programs are accessible. Indeed, data show aging majority that, based on the proportion of Roma/non-Roma young populations (0-15 years population old), “Roma are entering the labor force at much higher rates than the aging majority population [and, in Romania,] as many as […] 21% of new labor market 39 entrants [are Roma].” The economic benefits of integration would be far-reaching, boosting GDPs by at least 3% and government budgets by 4% – “numbers that are increasing 40 sharply given current population trends.” In addition to reinvigorated growth rates based on a larger, more productive workforce, there would also be Integration of the Roma increased fiscal gains and higher revenue from income taxes. The estimates on minority could boost GDP the economic benefits of Roma productivity gains in Romania stand at between by at least 3% and 887 million and 3 billion Euros annually, while fiscal benefits from higher taxes on government budgets by 41 wages would be between 200 and 675 million Euros annually. The variance 4% comes from the different estimates of the total Roma population, but even on the lower end, the potential gains are quite significant, particularly for a country like Romania, which has been trying for a long time to expand the base of its fiscal revenues of for improved balancing of the budget. What is more, data from the Presidential Commission for the Social and Demographic Risks shows that only 19% of Roma men and 11% of Roma women had the formal status of employees in September 2009. Additional statistics suggest that the Romanian Roma labor force participation rate (i.e., share of people employed and actively looking for employment) is higher than the Only 19% of Roma men majority’s (84% vs. 75%), which implies that members of these com munities and 11% of Roma want to work but cannot always find jobs, which goes against false, deeply held women had the formal stereotypes. In a 2010 World Bank survey, there is a widespread belief among status of employees in Romanians that Roma do not have jobs because “they are lazy and lack September 2009 willpower” (66%) and because “they prefer to live off social assistance” (81%). Only 35% of interviewed subjects attribute the lack of jobs for Roma to discrimination, which further underscores the need to change public perceptions and combat stereotypes with hard data and proper awareness raising (for example, only 12% of working-age Roma in Romania receive guaranteed 42 minimum income benefits). Where the greatest opportunity lies is in the education field, where the gap Only 12% of the Roma is simply staggering: only 12% of the Roma complete secondary or high school complete secondary or education, compared to 75% of the majority group in Romania. The solution high school education, exists and it makes perfect economic sense: basic calculations have shown that compared to 75% of the the investments needed to close the education gap are estimated at below 30% majority group in of the expected fiscal benefits of subsequent integration into the labor force. In Romania addition to the social benefits summarized above, this alone should be a very attractive value proposition for any government. As the World Bank policy note 39 Ibid., p.5. 40 Ibid., p.4. 41 Ibid., p.19. See figure below. 42 Ibid., p. 14. 175 on Roma inclusion put it, “capturing the gains is not only a key issue for the Roma communities themselves, but it is also critically important in the face of demographic trends where majority populations are declining and Roma 43 populations are increasing.” Figure 122. Economic and fiscal benefits of integration in select countries Data Source: Joost de Laat et al., “Roma Inclusion: An Economic Opportunity for Bulgaria, the Czech Republic, Romania, and Serbia,” World Bank Policy note. Interestingly, a 2010 World Bank survey of stakeholder perceptions revealed that there is alignment across both Roma and non-Roma in terms of the perceived benefits of inclusion. The top areas identified where inclusion would have “a very Both Roma and non- or somewhat important” positive effect include: social harmony (86% of Roma perceive inclusion responses), successful European integration (79%), economic growth (69%), and as having a positive fiscal stability (63%). Furthermore, a recent EuroBarometer poll shows that 60% effect of Romanians considered that the Roma are a minority group that could benefit 44 from better integration. This is good news: essentially, it means that a majority of Romanians recognize that Roma inclusion is desirable and beneficial. Last but not least, it is important to note that the arguments and data cited above apply mainly to the Roma minority in Romania. As noted earlier, the Roma are only a part – albeit a significant one – of the total population in poverty, but there are reasons to believe that the conclusions hold even for non-Roma members of marginalized communities. For example, disadvantaged groups in general, whether Roma, non-Roma, or mixed (as is often the case), show some common characteristics: high poverty rates, higher fertility, younger demographics, inadequate access to education, health care, and employment opportunities, etc. Extrapolating the conclusions to the entire poor population in Romania requires further testing, but in principle it is reasonable to believe that the economic case for integration remains strong across all marginalized communities in the country. So far, this chapter has defined and described marginalization, including a typology of disadvantaged communities. It then identified the main challenges that marginalized groups face and presented arguments for why inclusion matters. The next section turns to potential instruments for making that vision happen, with all its corresponding benefits for people within disadvantaged communities and for society as a whole. 43 Ibid., p. 21. 44 http://ec.europa.eu/public_opinion/archives/ebs/ebs_393_en.pdf 176 Integrated Solutions for Inclusive Growth While there may be a large consensus on the need to address marginalization While there may be a and the benefits of inclusion, there is no panacea for achieving these goals. What large consensus on the decades of repeated tries and experimentation teach, at a basic level is that need to address interventions in a single sector, in isolation, are unlikely to succeed. Put marginalization and the differently, in the register of the current report and the WDR 2009, addressing benefits of inclusion, the challenges faced by the Roma and other marginalized groups cannot come there is no panacea for only as a result of providing good institutions and connective infrastructure. achieving these goals This is no easy task, particularly for a developing country like Romania, where budgetary resources are limited and marginalized groups’ issues rarely make it to the top of the policy agenda. In some cases, discrimination and social stereotypes dissuade decision-makers from acting in favor of disadvantaged 45 communities, for fear of losing political capital with majority groups. It is beyond the scope of the current report to review all intervention types and recommend a specific course of action – instead, the World Bank ongoing work on the “Elaboration of Integration Strategies” provides an in -depth qualitative assessment of various interventions in 10 Romanian localities. For the purpose of this report, in the context of its broa der focus on Romania’s urban development, it is useful to provide a summary of key principles that should guide efforts aimed at promoting inclusive growth. Many of these concepts are already reflected in EU-level documents, as well as in Romania’s National Strategy for Roma Inclusion. First of all, the issue of proper identification and targeting should form the basis of interventions for addressing marginalization. This rests on the The issue of proper assumption that measures aimed at the general population, including of the sort identification and recommended throughout this report (e.g., connective infrastructure, basic targeting should form services, functional land markets, etc.), do not effectively address the specific the basis of intervention challenges faced by disadvantaged communities. The issue, as noted before, is for addressing that data on marginalized communities is scarce and collection becomes difficult marginalization because of survey subjects’ reticence to provide information, particularly when it comes to ethnicity, a consequence of broader discrimination. Efforts like poverty mapping at a micro-level are praiseworthy and should be continued, so that policy makers can answer the fundamental question of exactly who and where marginalized communities are. Second, there should be sufficient, dedicated, and transparent funding for initiatives aimed at promoting inclusion. On the one hand, the EU has focused There should be increasingly on prioritizing social investments (e.g., from the European Social sufficient, dedicated, Fund – ESF, and the European Regional Development Fund – a ERDF), and the EC and transparent has proposed that at least 20% of the fundin g for ESF “people, employment, and funding for initiatives social policy reforms” be dedicated to social inclusion, including of the Roma. 46 aimed at promoting On the other hand, Member States are encouraged to complement EU structural inclusion funds with national-budget funding in order to boost impact and cover 45 “Elaboration of Integration Strategies,” p. 22. 46 See EC COM(2012) 454, “Steps Forward in Implementing the National Roma Integration Strategies.” 177 47 marginalized communities’ wide-range of needs. At the end of the day, regardless of the source, there needs to be dedicated funding for these types of interventions, with transparent allocation and specific targets; otherwise, experience proves that it is challenging to ensure sufficient resources given that there are so many competing policy priorities that tend to take precedence over actions to assist the Roma and other marginalized groups. This is also important in light of the fact that, as shown earlier, poor areas and areas with a significant Roma presence do not always overall, so generic programs to combat poverty may not reach the Roma at all, in the absence of proper targeting and resources dedicated specifically for that purpose. Third, as argued repeatedly, an integrated approach works best for An integrated prompting sustainable inclusion of marginalized communities. As the Romanian approach works best documentary Our School has shown, along with a range of other studies and for prompting reports, developing or equipping schools, providing public services infrastructure, sustainable inclusion of and building roads only goes so far in enabling access to opportunity. If the Roma marginalized remain segregated in compact groups, and separated from the economic life of communities the areas around them, it will be hard for them to break prejudices still held by many. Similarly, it does little good to provide water and sanitation networks if potential users do not have the money to pay for the provision, operation, and maintenance of these services. And, to take a specific example provided earlier, new walkways and bridges over the railroad in Cluj-Napoca may improve physical accessibility of Roma in the city’s Northern and Eastern neighborhoods to jobs in the downtown, but lack of education and insufficient skills, nonexistent paperwork, and broader discrimination will still limit their entry into the labor market. The examples can go on and on, but the conclusion is straightforward: a narrow focus on a single sector (e.g., housing or road infrastructure), without a broader understanding of challenges faced by each marginalized community, will not generate sustainable impact. Instead, ideally, measures aimed at the Roma and other disadvantaged groups should strive to integrate them in the economic, social, educational, cultural, and political environment of the communities they are part of. This means that effective government action requires close coordination among the wide range of institutions involved. Fourth, empowerment is critical: the optimal types of integrated measures have to be designed and implemented in close partnership with targeted communities. A participatory approach that creates ownership and responsibility Empowerment is is typically preferred to top-down interventions that may make a difference in critical: the optimal types the short term but fail to address underlying causes in the long run. of integrated measures Empowerment is as challenging as it is important. Qualitative research reveals have to be designed and that disadvantaged communities demonstrate weak social cohesion and poor implemented in close collective organization, lacking confidence in both fellow members of the partnerships with community and in outsiders’ good intentions. There is hence a lot of work to be targeted communities done in terms of involving marginalized groups in all stages of a project: from concept design and prioritization of needs through implementation, monitoring, and maintenance. Sometimes, what is needed is a shift in mentality from passive helplessness to proactive action, which can come if the proper opportunities to get involved arise, along with concrete results and ownership over interventions. 47 See EC COM (2013) 460, “Proposal for a Council Recommendation on Effective Roma Integration Measures in the Member States.” 178 Often, specific training is needed to equip members of marginalized groups with Often, specific training is the tools necessary to apply for funding and participate in project needed to equip implementation, to the benefit of their community. The World Bank report on members of marginalized “Facilitation of Proactive and Direct Support for ROP Beneficiaries” provides groups with the tools some further guidance in that respect. necessary to apply for funding and participate The CLLD instrument can help boost engagement and ownership among in project EU funds' beneficiaries implementation One option for improving engagement and participation of marginalized communities may be the new Community-Led Local Development (CLLD) instrument. This will be based on the former LEADER approach and can feature under any of the available structural instruments, although it is compulsory only for the European Agricultural Fund for Rural Development. The Commission proposed a CLLD methodology that: focuses on specific sub-regional territories; is community-led, by local action groups composed of representatives of local public and private socio-economic interests; is carried out through integrated and multi-sectoral area-based local development strategies, designed taking into consideration local needs and potential; and includes innovative features in the local context, networking and, where appropriate, co-operation. There is still no clear sense on whether the CLLD instrument is appropriate for communities that have a relatively weak capacity for mobilization and coordination, which is the case of many marginalized groups. Structural funds are hard to access as it is given the bureaucratic procedures involved, and the CLLD framework may add to the complexities of the system for stakeholders who are not experienced in using structural funds. Whether for 2014-2020 or for later on, the CLLD could be assessed and/or adapted to fulfill the need of enhanced engagement of marginalized communities. Finally, proper monitoring and evaluation (M&E) are critical to identify and replicate best practices, and promptly remedy any emerging issues. There is Proper monitoring simply too much at stake in terms of the potential benefits of these interventions and evaluation are – compared to the costs of inaction – and there is also a pressing need to critical to identify and maintain full credibility of such efforts. As noted earlier, members of replicate best practices, marginalized groups tend to be skeptical of the overall “system,” so the margin and promptly remedy of error is narrow, particularly in the beginning, when there is little trust of any emerging issues “outsiders” in the absence of a longer-term relationship and proven results. Ways to directly involve end beneficiaries of projects in M&E activities should be explored in more depth and will vary depending on a community’s existing ability to organize itself. As empowerment grows and participation improves, M&E is a key area where community members could play an active role. Beyond these overarching principles, it is important to achieve consensus on the key thematic areas that require intervention to address marginalization. The EU Framework for National Roma Integration Strategies Up to 2020 defines clear goals around the key concept of access to: education, employment, healthcare, 179 48 and housing. In addition, the 2013 “Proposal for a Council Recommendation on Effective Roma Integration Measures in the Member States” mentions four horizontal policy areas: anti-discrimination, protection of Roma children and women, poverty reduction and social inclusion, and empowerment. The Romanian Government’s Strategy for the Inclusion of the Roma Minority generally follows the same structure as the EU-level framework (i.e., education, employment, healthcare, and housing), adding “culture” (e.g., preserving minority identify, language, patrimony, etc.) and social infrastructure (e.g., child protection services, justice and public order, and community administration and development) as key areas of focus. Overall, these strategies are comprehensive and address most of the critical challenges faced by marginalized groups, with the possible exception of connective infrastructure and spatial planning. These are important components of access to employment, education, healthcare, and housing, and can also play a role in reducing discrimination. Specifically, if social housing is built on the edge of a city, accessibility to basic services and the labor market will suffer, as will the ability of the marginalized group to interact with the majority population. Spatial isolation can have serious consequences in terms of strengthening stereotypes and aggravating discrimination. In particular, the MRDPA can play three key roles in the design and The MRDPA can play a implementation of interventions aimed at promoting social inclusion: number of key roles in coordinator, enabler, and partner. First, it should be the lead driving force and the design and coordinator in the areas that fall directly under its mandate: regional implementation of development (housing in particular) and public administration. In the field of interventions aimed at public administration, included under the Ministry during the last government promoting social restructuring, the MRDPA can make a key contribution in interacting with local inclusion authorities, raising awareness around issues faced by marginalized groups, and suggestion potential solutions to address them. In reference to the housing sector, the focus on integrated approaches is vital and it is emphasized accordingly in several key EU-level documents. For instance, Regulation 473/2010 of the European Parliament and of the Council explicitly notes that “in order to limit the risks of segregation, housing interventions [financed through the ERDF] for marginalized communities should take place within the framework of an integrated approach, which includes, in particular, actions in the field of education, health, social affairs, employment and security, and desegregation 49 measures.” Similarly, the 2013 Council recommendation on effective Roma integration, stipulates the following: “Member States should en sure that applications from local authorities for urban regeneration projects shall include, whenever relevant, integrated housing interventions in favor of marginalized communities. The Member States should also promote community-led local development and integrated territorial investments supported by the European 50 Structural and Investment Funds.” 48 “EC COM (2011) 173, “An EU Framework for National Roma Integration Strategies Up to 2020,” p. 4. 49 See http://eur- lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:132:0001:0002:EN:PDF 50 See EC COM (2013) 460, “Proposal for a Council Recommendation on Effective Roma Integration Measures in the Member States,” Art. 2.8. 180 Second, through the Regional Operational Programme (ROP), which it manages, the Ministry can act as an enabler of social inclusion by providing guidance to local beneficiaries of ROP projects on the types of interventions that are most effective in addressing marginalization (e.g., types and location of 51 housing, road and transport infrastructure, etc.). On a more operational level, through the ROP’s Intermediate Bodies, the Ministry can also improve support mechanisms available to beneficiaries of funding, particularly from within 52 marginalized groups. Third, the MRDPA should act as a close partner to other actors involved in this field: the Ministry of Labor, Family, and Social Protection; the Ministry of Interior; the Ministry of Economy; the Ministry of Public Finance; the Ministry of Transportation; the Ministry of Youth and Sports; the National Agency for the Roma, etc.). This follows directly from the argument supported throughout this chapter, namely that truly integrated interventions are most effective and should combine measures aimed at “hard” infrastructure development with “soft” education and skills training for labor market integration. All in all, solutions for addressing marginalization are neither easy, nor Solutions for addressing entirely foolproof. The guiding principles described earlier are meant to provide a marginalization are foundation for the government’s initiatives in this area, in the broader context of neither easy, nor entirely Romania’s quest toward nurturing competitive cities and promoting inclusive, fool proof sustainable growth. One fact is worth reiterating: a society’s development is about its people, all of its people, and marginalized groups across Romania have the potential to add tremendous value to the country’s long-term growth. Regional Integration – From Periphery to Hub th As the largest country in South-Eastern Europe and the 7 most populous EU member, Romania has a number of important advantages with respect to its prospects of regional integration. The World Development Report 2009 explicitly classifies Romania as one of the Type I countries, which are states “fortunate to be close to one of the large world markets” (p. 264) . In fact, since 2007, Romania has been part of the European Single market and has adopted important EU Besides being an legislative, political, administrative, and business regulations. Besides being an important market in and important market in and of itself (the second largest consumer market in Central- of itself, Romania has a Eastern Europe), Romania has a strategic geographic location. This makes it strategic geographic attractive both to capital that is looking for openings on the European market location and to EU firms that need a convenient gateway to Asia, the Middle-East, and markets like the Ukraine and Russia. Several foreign manufacturers have moved to Romania, largely for the short distances for export sales to these areas and for the affordable production costs. Moreover, the EU has a natural, standing interest in Romania’s development that goes beyond immediate economic interests, which is proven by the allocation of 40 billion EUR structural funds for 2014-2020 (that is, 18% more than for 2007- 51 For instance, through the UN Convention on Disability Rights, ratified by the EU in 2011 and by Romania in 2007, the social infrastructure for people with disabilities is to move away from the large-scale, communist-era centers toward smaller centers serving the needs of up to 7-10 people. The MRDPA could inform and guide local beneficiaries of ROP funding on the need to finance this new type of infrastructure. 52 See World Bank report on the “Facilitation of Proactive and Direct Support for ROP Beneficiaries” (2013), part of the Romania Regional Development Program. 181 2013), in spite of austerity cuts. By themselves, these advantages will not allow a strengthening of economic ties with the country's neighbors unless Romania takes positive steps to exploit them. There are two main directions that should be taken into consideration: a) increased connectivity to Western Europe, and b) the building of a Southern-European integrated growth area. In the new international trade landscape there is a simple rule: the better off In the new international your neighbors are, the better off you are. And the better off your neighbors are, trade landscape there is the stronger links you should build with them to reap the full benefit of trade and a simple rule: the better regional integration. Romania's richest neighbors are EU countries and the off your neighbors are, country's first priority should be to aggressively continue the integration process the better off you are within the EU by further facilitating the flow of people, goods, capital, and ideas. The West connection to the developed nations has been, and for the foreseeable future will be, the vital bloodstream of Romania's development, transporting The West connection to good institutional rules and practices, investment, innovation. The country's the developed nations trade with the EU largely accounts for the good economic progress over the last has been, and for the decade. At the same time, this very progress has brought about changes that foreseeable future will tend to negatively impact the attractiveness of the country to foreign be, the vital bloodstream investment. As Romania develops, it can afford less and less to rely on negative of Romania’s differentiating factors (e.g., cheap labor, relatively low cost of property, sheer development distance to distribution markets) and must offset growing manufacturing costs by stimulating positive factors (e.g., ease of doing business, good infrastructure, reduced divisions in relation to the EU). In this context it is important not to neglect Romania's connectivity to countries in its immediate vicinity. This aspect concerns long term stakes rather It is important however than first order priorities, but it is in many ways intertwined with the direction of to not neglect Romania’s integration in the EU. For instance, facilitating broad and deep interactions with connectivity to countries South-East neighbors could partly respond to the demands imposed by in its immediate vicinity development itself. Romania should not only aim to become an effective part of the EU economy, but also help build a much better integrated regional area, including its closest neighbors and the other Balkan states. The country stands more chances of sustaining significant growth within a dynamic area that offers good opportunities for distribution and expansion thanks to a high degree of interconnectivity. Still, for the near future, cooperation with the nearest neighbors should emphasize the general aim of scaling up production. The WB Development Report 2009 found that “higher exports occur when countries cooperate regionally (in terms of scale economies, greater factor mobility, and lower transport costs) [and integrate] globally”(p. 262). The idea is to scale up supply by means of regional integration and to integrate globally in order to scale up demand. In this case, the term “region” applies best to countries that could develop together and that would be co- interested in enlarging their supply base. Given that since the beginning of the EU integration efforts Romanian exports have not only increased in volume, but have also diversified, with a healthy tendency toward the export of intermediate goods, it makes sense for Romania to look across the border for ways to address the limitations of the national supply. To this effect, improved transnational infrastructure and various institutional means would certainly be in order. To the extent that the South-East axis of integration is dependent on the North-West 182 axis, the reduction of distance and division relative to the country's surrounding area has to be extremely cost-effective and to lend support to the projected EU road and railway networks. Thus, any infrastructure links to neighbors must take into account existing routes and efficiently connect to the main EU corridors. In addition to improved cross-boundary connections, policy makers can also In addition to improved consider institutional tools, such as trade tariff revision or new trade treaties. At cross-boundary the local level, programs can be devised to raise awareness of the fact that cities connections, policy and counties are regional competitive units that would benefit from international makers can also consider cooperation. In most parts of the country this awareness is at best deficient. institutional tools, such Mayors and county councils need to learn both to identify and to invite as trade tariff revision of international potential regional partners as well as to mediate between them and new trade treaties local businesses. In the spirit of the argument stressing the spillover effects of the development of growth centers, a good starting point in the direction of the South-East integration would consist in the promotion and extension of ties with the rapidly developing neighbors such as Bulgaria, Hungary, Croatia, and Turkey. At the same time, Romania stands to win if some or all of the accession countries Romania stands to win if become EU members—e.g., Serbia, Turkey, Macedonia, or Montenegro. Further, some or all of the Romania should push for more open borders and more integrated trade with accession countries countries that have started accession talks with the EU (e.g., Moldova) or may be become EU members pursuing EU integration as a long-term goal (e.g., the Ukraine). Trade Flows – The Broad Picture Until the late 90’s Romania’s exports showed weak signs of growth and stayed under US $10 billion. It was only with the Helsinki decision of the European The start of accession Council to begin accession negotiations with Romania that the country’s exports negotiations with the EU – notably to the European market – started to increase significantly. The export has marked the volume curve accelerated, as did the GDP curve, once Romania was perceived as beginning of a significant a secure and stable country, after the 2002 Prague NATO summit that decided its growth of exports admission to the military alliance. Total exports have multiplied more than six times from the pre-2000 era to 2011 (to US $63 billion). In 2009 the world economic crisis, and especially the recession in the EU, took a toll of US $9.5 billion, but exports rebounded in the following years. The main export countries have been Germany, Italy, France, Turkey, the United Kingdom, and Hungary. Europe has been the preferred destination of Romanian exporters since the fall of communism. If we consider only the EU countries before the East and Mediterranean enlargement tides, the share of Romanian exports to the EU has not changed since the 90's; in fact, it rose to 67% in 2003-2004 just to go back to 55%, which is the value it had in 1995, at the end of 2011. But numbers that reflect exports to the Union of 26 other states (the latest formation of 28 states The EU is Romania’s total includes Croatia, which joined EU this year) tell a very different story. From main export market the impressive 55% share of Romanian exports that the EU had in 1995, there has been a fairly constant increase to 70%, with notable peaks of 73%, 72%, and 75%, in 2004, 2007, and 2000, respectively. The new EU members more than made up for the post-2003 decline in the share of exports to the older EU Member States. The fact that the outset of this decline coincided with the first round of admissions of members from the former Eastern Bloc indicates that the new members took over a part of the share of the older Member States. More simply put, there has been more trade between Romania and other Eastern 183 European countries since these countries joined the EU. In absolute terms, the increase of the total volume of exports to EU states has been impressive: from less than US $5 billion in 1995 to the peaks of US $35 billion and US $44 billion in 2008 and 2011, respectively. Figure 123. Share of exports to the EU over time Data Source: National Institute of Statistics Imports followed the same pattern. Totaling about US $10 billion in the 90's, they began to grow around 2000-2004 and reached US $88 billion in 2008; then, due Import growth has gone to the recession, dropped by US $10 billion in 2009 just to rise again in the hand in hand with export following years, to a value of US $84 billion in 2011. The main import partners growth have been Germany, Italy, Hungary, France, China, and Austria. The share of imports from the EU was just under 60% of the total volume in 1995 and fluctuated a bit above 60% after year 2000. Figure 124. Comparative evolution of GDP, imports, and exports Data Source: The World Bank 184 Note that only two top importers (i.e., with an average share of at least 3%) are not part of the EU currently, namely Turkey and the United States. The former country is a regional partner who applied for EU membership, while the US have no longer figured in the top for the last few years. Likewise, only two top Germany and Italy have exporters are non-EU countries: China and, again, Turkey. Another fact shown by accounted in recent the graphs below is that between 2000 and 2010 two countries alone, Germany years for 30-35% of both and Italy, accounted for 30-35% of both exports to Romania and imports from exports to Romania and Romania, and that, combined with France's numbers, these countries' share of imports from Romania the total volume of Romanian imports and exports hovered around 40%. Figure 125. Top importers’ share of Romania’s total exports Data Source: The MIT Observatory of Economic Complexity Figure 126. Top exporters’ share of Romania’s total imports Data Source: The MIT Observatory of Economic Complexity 185 Investments and exports have been the main engines of Romania's economy and the volume of exports has grown remarkably well in often unpropitious political and economic conditions. Mere growth of exports is not always a good sign for an economy. What a country exports is a decisive indicator of its economy's Mere growth of exports health. The evolution of the structure of Romania's exports displays positive is not always a good sign trends. Exports diversified, especially beginning with the second half of the last for an economy – what a decade. Although traditional manufacturing sectors such as textiles and wood country exports is a continue to be important, the export of low technology products and resources decisive indicator of its has decreased, whereas the export of medium technology has significantly economy’s health increased. The volume of exports of minerals has decreased after 2008, such that the percentage that mineral exports have in the structure of exports in 2011 is 6%, The volume of exports of compared to 8%, which is significant, given the fact that there has been good minerals has decreased progress in almost all categories of exported goods. Similarly, the volume of after 2008, while the textile and footwear exports, most of which went to EU countries, remained exports of mechanical constant after 2008, at a value lower than in 2007. Textile exports to most EU and electrical goods has countries has decreased, while continuing to represent a substantial portion of gone up Romania's exports to Italy, its second trade partner (i.e., 31%, down from 41% in 2004). But the most encouraging trend is the uninterrupted expansion of the Mechanical/Electrical category, which mostly covers intermediate goods (precision products, which for the sake of simplicity are lumped together with mechanical and electrical components and products, constitute only a tiny fraction of the category in the graphs below). While in 2000 this category made up less than half of the textile and footwear segment in the structure of exports, in 2011 mechanical and electrical products were almost twice the volume of both minerals and textiles exported by Romania. Progress also occurred in exports of industrial and agricultural vehicles and equipment, automobiles, radio-TV, and communication devices, which are sectors with high added value. Even if most sectors are still traditional export sectors, it is clear that the country is headed in the direction of an export structure that resembles that of Romania is headed in the EU’s developed countries. This indicates a great potential of deep integration the direction of an in the highly technologized EU economic system, but also draws attention to the export structure that risks to which the pace of exports growth might be exposed in the future. If resembles that of EU’s currently exporters have to cope with various problems of infrastructure, sooner developed countries or later these problems, if untreated, will critically hurt exports and pose limitations to the pace of growth. The volume of exports also depends on the volume of foreign investments, which are wary of limitations. For instance, the export of cars has managed to expand constantly, although much more slowly than machinery exports, on account of the foreign investments in the automobile industry. Unfortunately, the underdeveloped state of Romania’s infrastructure connections to the rest of the EU is preventing the country from realizing its full potential for trade and foreign investment. The poor condition of Romania’s transport infrastructure affects business costs, productivity, and the country’s success in attracting new investment, without which exports cannot diversify upwards. There is rather little technology-intensive economic activity in Romania, mainly because local companies cannot afford to invest in R&D. As for the short- to medium-term technology, like capital, it needs to come from 186 elsewhere. As our graphs show, transport connections to the developed EU countries are by far the most important pipelines for people, capital, and technology. Figure 127. Categories of export goods over time (in 1,000 USD) Data Source: National Institute of Statistics Figure 128. Structure of exports in 2000 Data Source: National Institute of Statistics 187 Figure 129. Structure of exports in 2011 Data Source: National Institute of Statistics Continue the Integration into EU Markets Romania's economic growth of the past decade has been inextricably linked to its Romania’s economic continued integration into the EU’s common market, which largely took care of growth of the past most limitations concerning division. Access to the enormous European market decade has been stimulated the flow of Romanian goods, so that now around 70% of the country's inextricably linked to its exports are absorbed by EU countries. The opening of the borders has allowed continued integration Romanian people unprecedented mobility. These positive dynamics should be into the EU’s common further buttressed. market Figure 130. Infrastructure development has not kept up with changes in trade Data Source: National Institute of Statistics Note: Lines represent percent change over previous year. Romania may be an EU Member State, but if one looks at the infrastructure network in the EU, the country seems to be disconnected from the Central and Western parts of the continent. This is especially true with respect to roads and 188 highways, which constitute the key component of the transportation infrastructure. As the graph above highlights, the development of road infrastructure has hardly kept up with the dramatic growth in trade. More people, goods, and services flow across Romania's borders every year, but the road network remains largely unchanged. More than twice the amount of the merchandise transported by rail travelled on Romania's roads in 2011, in spite of a recession-triggered plunge of the mass of road-transported goods. Before the recession, between 2007 and The road infrastructure is 2008, this mass was as much as five times the amount of goods transported by the premier way of rail (the next most used means of transportation). Passengers also used the transporting goods and precarious Romanian road network in large numbers: on average, about four people in Romania times more than train travelers, between 2008 and 2011 (National Institute of Statistics). Moreover, looking at the categories of transported goods by type of transportation (see figure below), one can see that roads vastly support the two pillars of the country's exports: 99% of textiles and 88% of machinery, electrical, Processed goods and transport equipment were moved on roads in 2011. Incidentally, EU travelled primarily by countries are most interested precisely in these categories of exports. It was the road, while goods with least processed products, with the least added value – i.e., chemical/ petrol the least value added products and minerals/ coal/ oil/ raw matters – that traveled least by roads in (e.g., petrol products the same year. And if we remember that the sector of machinery and electrical and minerals) travelled products was by far the fastest growing export sector, it becomes very clear why to a higher extent by rail the development of the system of highways and roads is not only crucial, but also urgent. Figure 131. How major exports were transported in 2011 Data Source: National 189 Institute of Statistics Most importantly, Romania has to develop a reliable highway system that connects it to the rest of the EU. As indicated in the earlier sections, the highway Romania has to develop connection between Bucureşti and the Western border (A1, passing through a reliable highway Pitesti-Timisoara, and A3, passing through Brasov-Cluj-Napoca) should be a top system that connects it priority for Romanian policy makers. And they are priorities in relation to other to the rest of the EU highway proposals (e.g., Târgu Mureș-Iași). The logic of the “spillover effects” applies here too: once the essential connections to the EU are set up, the country’s development, enhanced by these very connections, will allow the construction of other important highways. But the more projects A1 and A3 are delayed, the more benefits from increased trade will be missed. Given the numerous interruptions, contractual revisions and financing problems, it might also be expedient to devise a strategy to temporarily prioritize one of the two branches, A1 or A3. A relative concentration of resources towards the speedier completion of one branch would serve Romania's transportation needs better than a prolonged and much fragmented construction of two highways. The (A1) Bucuresti-Pitesti-Sibiu-Timisoara route seems to involve quite a few challenging passages along the Olt Valley. By comparison, A3’s passage through the Prahova Valley would be cheaper and less time-consuming. But, since A1 is part of the Pan-European Corridor IV, the EU covers 85% of its costs, whereas A3 cannot benefit from EU funding. Further, A1 is preferred by professional transporters, while A3 is favored by motorists. Both projects are extremely important insofar as they link important growth areas (i.e., Brasov-Cluj and Pitesti-Sibiu-Timisoara, respectively) to the Western border, and they equally fulfill the aim of connecting the country to the rest of the EU. In these conditions, Romanian authorities might choose to do one of the following: (a) either (i) capture EU’s interest in A3 through negotiations with the European Commission or (ii) establish a well-rounded PPP or concession agreement; (b) focus on A1 by making sure that constructors strictly meet deadlines, so that the process of EU funding can be as smooth as possible. Regarding variant (a-i), the argument could be made that A3 would be ready and open to traffic much sooner that A1, which would save European transporters money. However, since the EU is already involved in the A1 project, to which Romania agreed in its Admission Treaty, option (b) seems to be more feasible. Moreover, option (b) allows more financial flexibility than (a). “Prioritization” need not mean “exclusivity”; thus, if Romania duly satisfied its end of the agreement with respect to funding the A1 and contracting constructors as well as supervising the process, any remaining national resources could be directed towards A3. Railways are still extensively used for the transport of chemicals, petrol products, coal, and other raw materials. Although trains are the second most used means of transportation for both merchandise and passengers in Romania, compared to the number of train passengers within the country only very few people choose to cross the border aboard a train, in either direction. Passenger rail transportation – which has lost about half of its clients in the last decade – has national rather than international relevance. 190 However, freight railways can provide an alternative to road transportation in two cases: (a) when a country’s region is inadequately connected to the road system and there is no easy solution for its connection to any of the projected major highways; (b) in the context of a temporary or systemic congestion of an important road or portion of road. Figure 132. Outline of the A1, A2, and A3 Highways Case (a) regards such regions as Moldova and Wallachia, especially Northern Moldova (Iași-Suceava) and Western Wallachia (from Craiova westwards; Craiova is otherwise easily linkable to A1). Case (b) refers first and foremost to A1 and A3, especially during certain phases of construction, which may take a few years. For instance, it is to be expected that the passages through the Carpathians will raise serious problems of congestion that cannot be solved simply by diverting traffic to other roads. Then more importers and exporters will likely turn to railways for their transport needs if there is a consistent line of freight rails between București and the Western border. Of course, one of the primary requirements of consistency is that the rails offer an advantage in terms of transport time. Other requirements concern the existence of modern, possibly inter-modal, loading/unloading stations, the safety and quality of transport, etc. One or two good, modernized South-East to West freight lines will also serve the country well after the main highway projects are completed. 191 In general, a freight rail network with a few consistent lines may be serviceable in the long run. But in its present condition CFR (The Romanian Railways Company) continues to burden the national budget with debt. According to Railway Pro, a specialized business magazine (April 2013 issue), the freight branch alone “has debts of over EUR 405 million to the state budget and [...] estimated to end the year with losses of EUR 47.7 million, 2.2 times higher than the negative outcome budgeted for 2012.” As such, CFR as a whole needs to be downsized to become economically functional. A report of the European Commission showed that in 2007 “28% of the network was supporting 80% of the passenger traffic, while 32% of the network ensured 80% of the freight 53 traffic.” It is highly doubtful that the situation changed since 2007 in the absence of any drastic measures aimed at downsizing the network. Since, moreover, as the report notes, the busiest sections for freight and passengers overlap, there is obviously room for improvement. But studies need to be done to identify the sectors for which rails can usefully complement roads and highways (in both types of cases specified above). More specifically, the various rail lines could be compared and ranked by actual and projected traffic, and cost- benefit analyses could show what savings from the reduction in the number of lines could help modernize the profitable connections. Revised, realistic maintenance costs should also be taken into consideration, so that quality and performance indicators can be kept above satisfactory levels. In addition to setting up a highway network to effectively bring Romania closer to In addition to setting up EU markets, it is important to develop an airport infrastructure that will bring a highway network to people and firms in Romania closer to opportunities in the EU. Airport traffic in effectively bring Romania some areas (Bucureşti, Timisoara, and Cluj-Napoca) has increased dramatically in closer to EU markets it is recent years. This trend needs to be encouraged by expanding airport important to develop the infrastructure to meet the demand. Furthermore, it is important to determine airport infrastructure how higher airport traffic can be encouraged in other economic growth centers such as Iași, Constanța, and Craiova. One of the very appealing aspects of airway transportation is that its development involves lower costs compared to the expenses required for the One of the appealing building of a highway network. Typically, airways are not known for high aspects of airway transported volume, except in parts of the world in which they represent the transportation is that its best solution to difficulties posed by large distances and/or adverse geographical development involves conditions. In Romania, airways are insignificant as a means of merchandise lower costs compared to transportation (although they serve as the best means for a number of postal the expenses required services) and rank a distant third with respect to the number of transported for the building of a passengers. This state of affairs is not likely to change in the future, which does highway network not mean that airport infrastructure is adequate as it is. Quite on the contrary: well-performing airports are essential to Romania’s regional integration. Normally, the density of air traffic goes hand in hand with a country’s degree of development. Airways constitute a fast, high quality mode of transportation on which many areas of economic activity largely depend. A durable development of the Romanian business environment is inconceivable without the expansion of external air connections. Because they 53 “Romania Technical Assistance for the Elaboration of the General Transport Master Plan,” p. 277. 192 are very flexible and mobile, various forms of investment (e.g., venture capital, angel investment) require not only good communication channels, but also fast transportation solutions. Precisely these forms of investment tend to support more knowledge-based economic sectors for which Romania has a non- negligible, but often overlooked potential. Mass-media stories of Romanian hackers and even of a town nicknamed Hackerville are stories of wasted human resources. This is ironic, given the relatively good momentum of start-ups in To become success Romania, a country with a large IT talent pool, where companies like Microsoft, stories, good ideas have Oracle, and Intel have been present for more than a decade. But to become to connect with capital success stories, good ideas have to connect with capital and entrepreneurship, and entrepreneurship, and airways can facilitate this process. Last but not least, a very lucrative portion and airways can facilitate of tourism relies on airways. Besides supplying a wealthy kind of clientele to the this process local hotel and touring services, long-distance tourism decisively puts a country on the map as an interesting destination. Local and national governments also have to think of ways in which air traffic can be encouraged. The same way public transport is subsidized in most cities for The easier and cheaper the inherent economic, social, and environmental benefits it is known to it is to fly, the better will generate, so should public authorities think of how increased air mobility can local communities be benefit national and local economies. The easier and cheaper it is to fly, the connected to people, better will local communities be connected to people, ideas, and capital in the ideas, and capital in the diaspora, and the easier it will be to start and run international businesses and diaspora open up local economies to potential investors. Figure 133. Passengers per airport in selected countries Source: World Development Report 2009 and WDI The US, for example, has one of the highest airport densities in the world, but a The US has a high relatively low number of passenger carried per airport (lower than in Romania). density of airports, but a Since the country is so vast, the Government invests heavily in mobility, including relatively low number of substantial subsidies for airports that serve relatively small areas. The aid passengers carried per provided to airports and air carriers is hoped to be offset by benefits from airport – lower than in increased mobility. In the EU, State Aid Regulations are quite restrictive and limit Romania the amount of public money that can be spent to help private companies (e.g., air carriers). Nonetheless, aid is allowed in disadvantaged regions as long as it is 193 considered to contribute to the long-term development of those regions by creating a more favorable business environment and by attracting new investments. Finally, in addition to investments in traditional transport links, it is important for Finally, in addition to Romanian authorities to also think about expanding and improving digital investments in traditional infrastructure. Ease of communication is of paramount importance to a transport links, it is burgeoning economy. A good digital infrastructure is conducive to the growth of important for Romanian new economic sectors, such as software development, and can also enable the authorities to also think expansion of a range of other service sectors. For example, a range of activities about expanding and that have traditionally been relatively localized can now be outsourced (e.g., improving digital architectural and technical design, routine medical operations, research), infrastructure enabling Romanian service providers easier access to larger markets and more customers. In addition, improvements in digital infrastructure have enabled easier money transfers from one country to another. Remittances, sent by Romanians working abroad, represent a substantial share of money inflows into Romania, and are also a significant share of the GDP. In fact, in recent years, remittances represent a higher share of money inflows than foreign direct investment. Figure 134. Remittances have outpaced FDI in recent years (in bln. USD) Source: The World Bank In addition to good digital infrastructure, it is also important to have a good airport infrastructure, as argued above. People are, arguably, more inclined to send money back home, if they have close ties to family and loved ones. These ties are easier to keep if people can travel back and forth easily. Good flight connections can enable not only larger people movements, but also larger capital movements. South-East Integration (SEI) As noted earlier, a deeper integration into the EU should be Romania’s first and foremost priority, to which the integration within the group of South-East 194 European countries is to be subordinated. Nevertheless, the latter process (henceforth, for simplicity, “SEI”) represents a medium and long -term stake. Evidently, Romania cannot take on an important function within the mechanism of the European economy in isolation from its immediate neighbors, but even the speed and durability of the country’s future growth, which is expected to lead it to a better position within EU’s economy, hinges on the degree of its SEI. Romania shares a significant part of its borders with non-EU countries. Romania shares a Consequently, one of the main tasks going forward should be to be an active significant part of its player in the continuous enlargement of the EU, to the East and South. This will borders with non-EU allow Romania to switch from a peripheral position in the EU to a central hub countries within the Union. To be truly successful from an economic point of view, Romania has to be able to trade Westward, Eastward, Northward, and Southward. To achieve this, it is important that all countries surrounding it do well economically and that trade barriers are low or non-existent. To be truly successful, Of course, this is easier said than done, but it is important that Romania uses Romania has to be able its political clout in the European Parliament, the European Commission, and the to trade Westward, Council to push for ”thinning” the borders and ultimately for the integration of Eastward, Northward, neighboring countries. Moldova is a special case in this sense because of the and Southward shared language, culture, and history. Figure 135. Regional demographic gravity model Beyond this, policy makers should explore the possibility of strengthening links to neighboring countries by developing connective infrastructure (where the actual 195 or potential flow of people and goods would make it worth it) and by creating Romania has poor institutions that enable stronger cross-border collaboration. As the gravity model cross-border above highlights, Romania has poor cross-border synergies. Apart from the synergies connection over the Danube from Giurgiu to Ruse, there are few points of gravitational attraction. Part of the reason for this is that there are few actual border crossing points. For example, up to 2013 there was only one bridge crossing the Danube between Romania and Bulgaria (with a second one only recently inaugurated between Up to 2013, there was Vidin and Calafat). Another reason for the poor gravitational attraction is the lack only one bridge crossing of large settlements on each side of the border. As the map above highlights, the Danube between some of the least connected regions of Romania are border regions – e.g., the Romania and Bulgaria Danube Delta region, the junction with Serbia and Bulgaria at Drobeta Turnu Severin, and the North of the country, where the Carpathians cross over into the Ukraine. In such areas increasing connectivity can do little in terms of spurring cross-border synergies and development. Unfortunately, the low population density also makes these areas some of the poorest in the country. This layout can become problematic in a Europe that is becoming increasingly inter-connected. For example, Hungary, Serbia, and Bulgaria are seamlessly connected, which may result in a bypassing of Romania for intra- and inter-regional trade. It is therefore critical to identify ways in which connections to neighbors can be improved in the future – particularly the connections to Hungary, Bulgaria, and Serbia (where cross-border synergies seem to be strongest), but also Moldova, for the reasons described earlier. There are, of course, limitations to Romania’s capacity to integrate within the South-East group. Most of these limitations have to do with the same facts There are limitations to that make the integration within EU its top priority. South-East countries simply Romania’s capacity to do not have the resources to achieve SEI independently of their EU integration. integrate within the Their opening to the EU actually is an opening of the EU towards the South-East South-East group region in a fourfold sense. In pure economic terms: (a) the EU market constitutes the greatest drive of demand for South-East goods and (b) EU countries are the primary source of investment capital for the South-East. There is, then, the institutional dimension: (c) even if sometimes against national forces, the EU’s reforming influence has a tremendous power to trim down division. The common market’s policies and the various uniform regulations and requirements for reform also have an impact on the institutional a spect of Romania’s capacity to integrate regionally. The fourth factor of the EU’s opening toward the South-East resides in (d) the availability of integration funds. Since SEI must rely on resources that either come from the EU or are the result of opportunities and influences involved by the process of integration into the EU, it can be best conceived as piggybacking on the EU integration. This conception assumes an intelligent, smart use of resources in working toward SEI. Thus, for instance, the interconnection of the South-East growth areas – usually centered around the largest cities – needs to closely overlap with the network of Pan-European corridors. Again, SEI’s medium-term aim is to catalyze the integration into the EU by ensuring that Romania joins forces with neighboring countries. In the long run, SEI has an autonomous aim, which concerns the South-East group’s becoming a recognizable component of the European economic engine. Now, Romania can more easily pursue these desiderates in relation to three countries: Turkey, 196 Hungary, and Bulgaria. First of all, taken together, the volumes of Romania’s trade with these three countries amount to roughly the volume of trade between Romania and its most prominent trade partner, Germany; whereas the aggregate of the flows with the rest of its neighbors (i.e., Serbia, Moldova, the Ukraine) totals less than the trade flow with Bulgaria alone. Although not an adjacent country, Turkey has become an economic Turkey, while not an EU powerhouse at the confluence of Europe and Asia and is one of Romania’s most member, has become consistent trade partners. Hungary and Bulgaria are EU members. Moreover, one of Romania’s most Hungary, whose territory is transited by much of Romania’s trade with the EU, consistent trade partners has the most developed economy in the group (Romania included), and, like Turkey, does extensive and consistent commerce with Romania. In spite of weaker but growing trade ties with Romania, Bulgaria is perhaps Romania’s most natural economic partner. In any case, it was part of the same tide of EU expansion and in the process of EU integration and has been rightly seen as forming a regional-developing unit with Romania. Given the similarity of their Given the similarity of internal social, political and economic conditions, it makes perfect sense to view their internal social, Romania and Bulgaria as joining forces to share the benefits of regional political and economic integration, especially since both countries have been allocated important EU conditions, it makes funds (Bulgaria received 15 billion EUR in European funding for 2014-2020). perfect sense to view Going on with the same line of thought, it is not difficult to understand why Romania and Bulgaria Serbia, Moldova, and the Ukraine cannot play with respect to Romania’s SEI roles as joining forces to share as important as the roles of Hungary, Turkey, and Bulgaria, at least for the next the benefits of regional decade or two. Like Romania, Hungary, Turkey, and Bulgaria have not been integration spared social and political turmoil; yet, again like Romania, they have been favored by a variety of factors, some of which have already been mentioned. None of these countries has been confronted with the consequences of war or with damaging problems of identity and independence. In contrast, Serbia has had to redefine itself after the disintegration of Yugoslavia; Moldova is still divided between political forces and at a loss from an economic viewpoint (after being disengaged from the Soviet economy); the Ukraine has undergone serious internal and external struggles to shape up a place for itself in the region. Overall, Serbia, Moldova, and the Ukraine have had less growth opportunities than Romania, Hungary, and Bulgaria. As a rule, trade integration follows growth, not the other way around. As a rule, trade Statistical data indicate a remarkable parallelism between, on the one hand, the integration follows evolution of the trade flows between Romania and its adjacent neighbors and growth, not the other Turkey, respectively, and, on the other hand, the pace of growth of these way around countries. This parallelism is not incidental. Two points must be noted here. First, trade curves – especially those reflecting trade with Turkey, Hungary, and Bulgaria – appear to be more abrupt than GDP (per capita) curves. What accounts for this difference is not some characteristic of the trade flows, but the comparatively steeper growth of Romania's GDP (per capita). Second, Serbia looks somewhat like an anomaly in this comparative picture. Namely, while Serbia's GDP curve nearly overlaps with Bulgaria's, the representation of its trade flows with Romania markedly diverges from the line corresponding to the trade flows between Romania and Bulgaria. This anomaly can be explained by the sudden disruption of the Serbian economy caused by events associated with the dismantling of Yugoslavia. The Yugoslav economy was the most robust among the Balkan communist states, and Serbia began to recover some of the setback 197 inflicted by war and political turmoil, whereas its ties with Romania suffered in ways that prevented them to really take off. The anomaly also points to the potential of Serbia's economy and, more generally, to the potential of the ex- Yugoslav area. Some of the economic links in this area will eventually be mended afresh to partly recreate a market space in which Romania should be very interested. In addition to the great potential of this market, what should spur Romania’s interest in its neighbors South-West of the Danube is the fact that Timișoara is significantly closer to Croatia’s Adriatic ports, with direct access to the Mediterranean Sea, than to the Black Sea port of Constan ța. The abovementioned considerations suggest that the effort that Romania puts in The effort that Romania developing institutional and infrastructure links should follow in the paths of the puts in developing natural trends of international trade in the region. The country should strive to institutional and support the de facto integration stemming from the private sector-led deepening infrastructure links of economic interconnections. More concretely, policy makers should explore should follow in the the possibility of strengthening ties with neighboring states by setting up paths of the natural connective routes where actual or potential flow of people and goods would trends of international genuinely make it worthwhile, and by creating institutions that actually foster trade in the region cross-border collaboration. The development of roads and highways connecting Romania to its close neighbors is a subject on which it would be extremely useful for policy makers to begin a dialogue with the country’s main exporters. Priorities in the construction of the highway infrastructure in the direction of the EU and various details concerning the East-West infrastructure network would also derive great benefit from such a dialogue. Still, unlike the locations of Romania’s bridges to its close neighbors, the main routes to the West have been decided. As is the case in most market-driven economies, a large share of a country’s As is the case in most exports is produced by a limited number of companies. In Romania, the 30 market-driven largest exporters are responsible for around 42% of the country’s exports. This is economies, a large share a significant share, and the development of infrastructure that is hoped to of a country’s exports is increase trade should be made in consultation with these major export players. produced by a limited These large companies know well what type of connecting roads they need, how number of companies to link them to the railway network, or how to get their good easiest to the port in Constanta. As can be seen in the table below, not all of them export mainly to the EU, and they may have infrastructure needs that go beyond a highway connection to the Western border. In many cases, however, it is superfluous to measure or estimate the traffic levels of certain routes. For example, simple logic demands that the most direct route should link Sofia to București (the capital cities of Bulgaria and Romania). This route happens to pass through Turnu Măgurele, where unfortunately a bridge across the Danube is lacking. Although any new point of passage from one country to the other should in principle lead to mutual trade gains, the recently inaugurated bridge between Calafat and Vidin is out of any of Romania’s major trade roads. In fact, this bridge unites two of the most underdeveloped areas in the two countries. 198 Table 22. Romania’s largest exporters Share of Total % going Rank Company Name City County Exports to EU 1 Dacia Mioveni Argeș 6.91% 76.21% 2 Nokia Cluj-Napoca Cluj 5.37% 41.19% 3 RomPetrol Constanta Constanta 2.39% 19.49% 4 ArcelorMittal Galati Galati 2.23% 12.11% 5 OMV Bucuresti Bucuresti 2.18% 52.51% 6 Grup Servicii Petroliere Constanta Constanta 1.57% 7.21% 7 Petrotel-Lukoil Ploiesti Prahova 1.42% 67.86% 8 Daewoo-Mangalia Heavy Industries Mangalia Constanta 1.36% 63.53% 9 Continental Automotive Products Timisoara Timis 1.12% 87.36% 10 Michelin Bucuresti Bucuresti 1.06% 79.50% 11 Alro Slatina Olt 1.05% 88.54% 12 Autoliv Brasov Brasov 1.05% 81.64% 13 Celestica Borș Bihor 1.03% 100.00% 14 Alfred C. Toepfer International Bucuresti Bucuresti 1.02% 74.76% 15 Takata Romania Arad Arad 1.01% 88.00% 16 Cargill Agricultura Bucuresti Bucuresti 0.96% 53.93% 17 Pirelli Tyres Romania Slatina Olt 0.81% 98.43% 18 Delphi Packard Romania Sânnicolau Mare Timis 0.80% 100.00% 19 Oltchim Râmnicu Vâlcea Vâlcea 0.79% 41.30% 20 Continental Automotive Systems Sibiu Sibiu 0.76% 84.30% 21 Bunge Romania Buzau Buzau 0.75% 0.00% 22 Schaeffler Romania Cristian Brasov 0.74% 100.00% 23 Silcotub Zalău Sălaj 0.73% 41.85% 24 Oscar Downstream Măgurele Ilfov 0.73% 100.00% 25 LLK Lubricants Romania Ploiesti Prahova 0.65% 6.53% 26 TAROM Otopeni Ilfov 0.65% 61.83% 27 AzoMures Târgu Mureş Mureş 0.62% 38.15% 28 British American Tobacco Trading Bucuresti Bucuresti 0.59% 0.00% 29 Eaton Electro Products Sarbi Maramureș 0.58% 97.35% 30 TRW Automotive Safety Systems Timisoara Timis 0.55% 81.58% Source: National Institute of Statistics and Ministry of Finance The route connecting Sofia and București through Turnu Măgurele makes much more sense for Romania, all the more since this partly overlaps with Bulgaria’s future Hemus Motorway. A need for a bridge at Turnu M ăgurele will be A need for a bridge at increasingly felt as the economic ties between Romania and Bulgaria intensify. Turnu Măgurele will be On a related note, both the necessity of a bridge at Turnu Măgurele and the increasingly felt as the existence of a bridge between Calafat and Vidin strengthen the reasons given economic ties between earlier for a concentrated and speedier execution of the A1 highway project Romania and Bulgaria (București-Pitești-Sibiu-Timișoara). Besides offering the prospect of easy intensify connections to Craiova and, further, to Bulgaria, connections that could heighten the utility of the Vidin-Calafat bridge, highway A1 would likely boost flows between Timișoara and the Serbian cities of Belgrade and Novi Sad, thus opening Romania more to the ex-Yugoslav space. 199 Figure 136. A bridge at Turnu Măgurele could enable increased trade between Romania and Bulgaria Reduce and eliminate trade barriers Romania is not in a bad position concerning the number of days to import/ Romania is not in a bad export, compared to other Eastern European countries, although it has not made position concerning the much progress since 2006, when it more than halved these times in preparation number of days to for admission to the EU. The country does not fare as well with regard to the import and export quality of trade infrastructure and the efficiency of customs clearance processes, where, therefore, there is plenty of room for improvement. Figure 137. Time to export/import (in 2012) Source: The World Bank 200 Figure 138. Comparison of trade logistics performance indexes (in 2012) Source: The World Bank Of course, besides drastically improving logistics, the best way to ease trade across its non-EU borders is to have all neighboring countries subject to the Besides drastically uniform policies of the common market. For Romania this comes down to improving logistics, the pleading for the inclusion of its neighbors into the EU, which, no doubt, is easier best way for Romania to said than done. For their economic and institutional potential, most ex-Yugoslav ease trade across its states make up a zone of first importance. Moldova, for its part, is a special case non-EU borders is to insofar as the language, culture, and history it shares with Romania are natural have all neighboring border-thinners. Unfortunately, the fact that Romania’s current pr iority is to countries subject to the improve its connections to the West, the poor state of roads on both banks of uniform policies of the Prut River and the small size of Moldova’s market mean that the time of the common market Moldova’s improved integration into the European transport network may come only when Romania has the resources to develop its North-East infrastructure. Until then, Romania should work to keep its economic, diplomatic, and cultural ties with Moldova very much alive. In particular, it should try to make itself attractive to Moldovan citizens – eventually, by facilitating the mobility of capital and labor between the two countries – for at least two reasons: (1) as the differences in development between the two countries sharpen, the growing Romanian capital will begin to travel across the Prut for opportunities available in a similar culture (including an easily navigable business environment); (2) as bilingual people, who are familiar the cultures of the ex-Soviet space (especially Russian and Ukrainian), Moldovans can serve as mediators for Romanian businesses in future explorations of the vast Eastern markets. Beyond its immediate Aim to “Integrate” with Distant Regions surroundings, Romania Beyond its immediate neighbors, Romania should strive to increase and facilitate should strive to increase links to countries with a large Romanian diaspora —e.g., the US, Canada, and facilitate links to Australia. The easier it will be to travel back and forth, the more benefits will be countries with a large accrued from the exchange of ideas, the flow of capital, and the creation of Romanian diaspora 201 business and investment opportunities. Luckily in this regard, a host of infrastructure needs coincide with the imperatives of the development of Romania’s connectivity with EU countries. Nevertheless, specific institutional and diplomatic efforts can be undertaken to unlock new resources abroad. For instance, the Government should use diplomatic channels to help eliminate the need for travel visas, organize national thematic forums in which graduate students and professionals can share experiences and knowledge accumulated abroad, etc. 202 Bibliography Buckley, Robert M., and Federico Mini, “From Commisars to Mayors: Cities in the Transition Economies,” The World Bank, Washington, DC, 2000 Domar, Evsey, “Capital Expansion, Rate of Growth, and Employment,” Econometrica 14 (2), 1946 Emery, M., and Flora, C., “Spiraling-up: Mapping community transformation with community capitals framework,” Community Development, 37(1), 2006 European Commission, EC COM 173, “An EU Framework for National Roma Integration Strategies Up to 2020,” Brussels, 2011 European Commission, EC COM 454, “Steps Forward in Implementing the National Roma Integration Strategies,” Brussels, 2012 European Commission, EC COM 460, “Proposal for a Council Recommendation on Effective Roma Integration Measures in the Member States,” Brussels, 2013 European Commission, “Proposal for a Council Recommendation on Effective Roma Integration Measures in the Member States,” Brussels, 2013 European Parliament, “Regulation 473/2010 of the European Parliament and of the Council,” Strasbourg, 2010 European Commission, “EU Framework for National Roma Integration Strategies,” Brussels, 2011 Florida R. et al., “Beautiful Places: The role of perceived aesthetic beauty in community satisfaction,” Working Paper Series: Martin Prosperity Institute , 2009 Florida, Richard, “The Flight of the Creative Class. The New Global Competition for Talent,” HarperBusiness, HarperCollins, New York, NY, 2007 Florida, Richard, “Who’s your city?” Basic Books, New York, NY, 2008 Gehl, Jan, “Cities for People,” Island Press, Washington, DC, 2010 Harrod, Roy F, “An Essay in Dynamic Theory,” The Economic Journal 49 (193), 1939 International Consultative Forum on Education for All (EFA Forum), UNESCO, Status and Trends, 2000 Kilkenny, Maureen, “Economies of Scale”, Lecture for Economics 376: Rural, Urban and Regional Economics, Iowa State University, Ames, IA, 1998 203 de Laat, Joost et al., “Roma Inclusion: An Economic Opportunity for Bulgaria, the Czech Republic, Romania, and Serbia,” World Bank Europe and Central Asia Human Development Sector Unit Policy Note, September 2010 Louis Berger, SAS, “Romania - Technical Assistance for the Elaboration of the General Transport Master Plan,” 2009 Moretti, Enrico, “Local Multipliers,” American Economic Review 100, no. 2, May 2010 Moretti, Enrico, “The New Geography of Jobs”, HMH, New York, NY, 2012 National Agency for the Roma, “Strategy of the Government of Romania for the Inclusion of the Romanian Citizens Belonging to the Roma Minority / for 2012- 2020,” București, 2011 Niall, Ferguson, “Civilization: The West and the Rest,” The Penguin Press HC, 2011 North, Douglass Cecil, “Institutions,” The Journal of Economic Perspectives, 5(1), 1991 Pew Research Center, “European Unity on the Rocks,” 2012 Presidential Commission for the Analysis of Social and Demographic Risks Report, “Riscuri și inegalități în România,” București, 2009 Rawls, John, “A Theory of Justice,” The Belknap Press of Harvard University Press, Cambridge, MA, 1971 Romer, Paul, “Endogenous Technological Change,” Journal of Political Economy, October 1990 Romer, Paul, “Increasing Returns and Long Run Growth,” Journal of Political Economy, October 1986 Solow, Robert M., “A Contribution to the Theory of Economic Growth,” Quarterly Journal of Economics, The MIT Press, 70(1), 1956 de Soto, Hernando, “The Mystery of Capital: Why Capitalism Triumphs in the West and Fails Everywhere Else,” Basic Books, New York, NY, 2000 Stănculescu and Berevoescu, “Sărac lipit, caut altă viață! Fenomenul sărăciei extreme și al zonelor sărace în România 2001,” Ed. Nemira, București, 2004 Taleb, Nassim N., “The Black Swan: The Impact of the Highly Improbable,” Random House, New York, NY, 2010 204 Weber, Max, “The Protestant Ethic and the Spirit of Capitalism,” translated by Peter Baehr and Gordon C. Wells, Penguin Books, 2002 World Bank “Ease of Doing Business” Report, Washington, DC, 2013 World Bank Golden Growth: “Restoring the Lustre of the European Economic Model,” Washington, DC, 2012 World Bank Report: “An East Asian Renaissance: Ideas for Economic Growth,” Washington, DC, 2007 World Bank Report: “Elaboration of Integration Strategies” World Bank Report: “Enhanced Spatial Planning Report” World Bank Report: “Facilitation of Proactive and Direct Support for ROP Beneficiaries” World Bank Report: “Identification of Disadvantaged Urban Communities” World Development Report 2009: “Reshaping Economic Geography,” Washington, DC, 2009 MASS MEDIA AND OTHER SOURCES “Capital” Magazine, www.capital.ro “Gândul” Newspaper, www.gandul.info Cities for people—a blog by Gehl Architects, www.gehlcitiesforpeople.dk Congress for New Urbanism, www.cnu.org Digi24 TV, www.digi24.ro Monitorul Oficial al României, www.monitoruloficial.ro Census/ Recensământ, 2011, www.recensamantromania.ro “Roma Communities Social Map,” survey 2005, http://www.anr.gov.ro “Railway Pro” Business Magazine, www.railwaypro.com Romanian Institute for Public Policy, www.ipp.ro “Our School/ Școala Noastră” TV Documentary, www.ourschoolfilm.blogspot.ro Zona Metropolitană București (zmb.ro), www.zmb.ro DATA SOURCES CIA Factbook, www.cia.gov Dumitru Sandu, www.sites.google.com/site/dumitrusandu Education at a Glance (2012), OCDE, www.OCDE.org/edu/eag.htm EuroBarometer, www.ec.europa.eu/public_opinion Eurostat, www.ec.europa.eu/eurostat GeoFabrik, www.geofabrik.de National Institute of Statistics (Romania), www.insse.ro ListăFirme, www.listafirme.ro/ Ministry of Regional Development and Public Administration, www.mdrap.ro Ministry of Public Finance, www.mfinante.ro 205 MIT Observatory of Economic Complexity, www.atlas.media.mit.edu Numbeo, www.numbeo.com Outbound Mobility Data (1998-2011), UNESCO, www.data.un.org The World Economy: Historical Statistics, OCDE, www.theworldeconomy.org US Bureau of Labor Statistics, www.bls.gov World Bank BOOST Database, wb-boost.org World Development Indicators, www.data.worldbank.org/data-catalog/world- development-indicators 206 Annex 1. Economic sectors with the highest share of intra-county and inter-county commuting, in 2002 Location of workplace: Total Other % in other % in employed city, same Other city, same other Activities population district district district district ROMANIA 7,811,733 1,000,798 187,176 12.8% 2.4% Oil and gas extraction (excluding surveying) 54,428 20,599 4,955 37.8% 9.1% Coal mining and preparation 50,132 18,605 1,945 37.1% 3.9% Mining of metal ores 24,245 8,937 351 36.9% 1.4% Hunting 1,552 502 105 32.3% 6.8% Forestry and logging 48,752 15,636 2,231 32.1% 4.6% Refined petroleum products, coal, and nuclear fuel 27,130 8,666 542 31.9% 2.0% Road transport industry 59,922 18,003 533 30.0% 0.9% Mining and preparation of radioactive ore 3,203 940 185 29.3% 5.8% Other extractive industries 11,564 3,144 322 27.2% 2.8% Wood processing industry (excluding furniture production) 114,778 29,919 2,239 26.1% 2.0% Land transport, transport via pipelines 263,505 59,701 15,313 22.7% 5.8% Recovery of waste and recycling 7,709 1,734 276 22.5% 3.6% Manufacture of other non-metallic mineral products 77,090 17,137 1,264 22.2% 1.6% Manufacture of machinery and other equipment 163,510 35,339 2,975 21.6% 1.8% Leather and footwear 110,318 23,811 2,699 21.6% 2.4% Manufacture of furniture and other assets 109,677 23,415 2,181 21.3% 2.0% Apparel industry 344,396 71,439 5,343 20.7% 1.6% Production, transmission, and distribution of electricity, gas, and hot water 144,355 29,747 4,536 20.6% 3.1% Construction 442,915 91,239 29,899 20.6% 6.8% Electrical machines 58,012 11,884 1,073 20.5% 1.8% Food and beverage industry 191,383 38,755 4,997 20.2% 2.6% Rubber and plastics processing 38,435 7,724 915 20.1% 2.4% Metal industry 91,510 17,319 1,089 18.9% 1.2% Other transport equipment 62,481 11,759 1,803 18.8% 2.9% Chemical industry and synthetic fibers 68,433 12,828 1,420 18.7% 2.1% Metallic construction industry and metal products (except machinery, installations) 99,128 18,218 2,864 18.4% 2.9% Support and auxiliary transport activities, travel agencies 31,789 5,785 1,168 18.2% 3.7% Management of water resources, treatment and distribution of water 41,118 7,186 835 17.5% 2.0% Pulp, paper, and cardboard industry 15,737 2,745 287 17.4% 1.8% Textiles and textile products 77,912 13,556 971 17.4% 1.2% Sale, maintenance, and repair of motor vehicles and motorcycles; gas retail 98,800 16,910 2,967 17.1% 3.0% Air transport 7,425 1,252 450 16.9% 6.1% Fishing and aquaculture 5,761 948 145 16.5% 2.5% Sewage and refuse disposal, sanitation and similar activities 26,229 4,094 972 15.6% 3.7% Education 395,041 55,008 5,363 13.9% 1.4% Public administration 473,855 65,249 25,750 13.8% 5.4% 207 Total Other % in other % in employed city, same Other city, same other Activities population district district district district Renting of machinery and equipment and of personal household belongings 834 110 19 13.2% 2.3% Hotels and restaurants 121,489 15,995 2,366 13.2% 1.9% IT and office manufacturing 4,454 574 176 12.9% 4.0% Water transport 15,257 1,945 1,808 12.7% 11.9% Health and social welfare 345,065 40,985 6,432 11.9% 1.9% Other services provided to enterprises 146,449 17,075 6,018 11.7% 4.1% Activities of membership organizations 37,373 4,148 862 11.1% 2.3% Trade (except motor vehicles) 118,768 12,823 3,196 10.8% 2.7% Tobacco 4,914 528 155 10.7% 3.2% Post and telecommunications 95,861 9,708 2,546 10.1% 2.7% Research and development 26,305 2,634 918 10.0% 3.5% Equipment industry, radio, TV, and communication 11,280 1,087 325 9.6% 2.9% Retail trade (except of motor vehicles and motorcycles), repair of personal and household goods 583,851 55,812 11,595 9.6% 2.0% Other service activities 41,388 3,720 877 9.0% 2.1% Medical and other precision equipment, clocks 12,360 1,103 194 8.9% 1.6% Insurance activities (except public retirement benefits) 16,744 1,407 286 8.4% 1.7% Financial and banking services (except insurance) 58,458 4,445 717 7.6% 1.2% Publishing, printing, and reproduction of recorded material 29,731 2,166 1,064 7.3% 3.6% Recreational, cultural, and sporting activities 73,088 5,180 2,263 7.1% 3.1% Auxiliary activities for finance and insurance institutions 5,293 349 141 6.6% 2.7% Real estate 14,244 885 380 6.2% 2.7% IT and related activities 21,808 976 683 4.5% 3.1% Extra-territorial organizations 964 28 26 2.9% 2.7% Activities of private households with employed persons 26,137 686 331 2.6% 1.3% Agriculture and related services 2,156,049 46,696 12,835 2.2% 0.6% Source: Romanian National Institute of Statistics 208 Annex 2. List of Economic Sectors by Average Wage they Offer Average Net Nominal Monthly Salary Earnings (in RON) by Economic Sectors (NACE 2) 2000 2005 2008 2011 Financial service activities, except insurance and pension funding 569 2346 3560 3701 Manufacture of tobacco products 450 1717 2623 3581 Computer programming, consultancy and related activities; Information service activities 314 1185 2217 3502 FINANCIAL AND INSURANCE ACTIVITIES 525 2063 3205 3435 Air transport 536 1576 3305 3418 Extraction of crude petroleum and natural gas 398 1395 2846 3192 Telecommunications 488 1860 2409 3089 Insurance, reinsurance and pension funding, except compulsory social security 382 1430 2162 3032 Manufacture of coke and refined petroleum products 371 1443 2303 2991 INFORMATION AND COMMUNICATION 414 1463 2119 2965 ELECTRICITY, GAS, STEAM AND AIR CONDITIONING SUPPLY 382 1348 2389 2787 Mining support service activities 325 1142 2093 2711 MINING AND QUARRYING 368 1246 2287 2577 Mining of coal and lignite 411 1357 2306 2392 Scientific research and development 235 954 1954 2336 Publishing activities 269 903 1720 2333 Motion picture, video and television programme production, sound recording and music publishing activities; Programming and broadcasting activities 331 1285 1780 2316 Warehousing and support activities for transportation 413 1255 2011 2246 Manufacture of basic pharmaceutical products and pharmaceutical preparations 359 1228 1820 2231 Mining of metal ores 302 952 1632 2118 PROFESSIONAL, SCIENTIFIC AND TECHNICAL ACTIVITIES 273 939 1749 2061 Water transport 189 772 1576 1995 Manufacture of other transport equipment 286 1001 1568 1957 PUBLIC ADMINISTRATION AND DEFENCE; COMPULSORY SOCIAL SECURITY 305 1164 2411 1909 Manufacture of chemicals and chemical products 263 903 1458 1879 Manufacture of basic metals 294 969 1550 1862 Activities auxiliary to financial services and insurance activities 307 944 1938 1813 Manufacture of computer, electronic and optical products 264 929 1286 1788 Manufacture of beverages 272 940 1328 1784 Manufacture of motor vehicles, trailers and semi-trailers 224 769 1219 1706 Water collection, treatment and supply 227 763 1345 1643 Manufacture of machinery and equipment n.e.c. 225 769 1307 1631 TRANSPORTATION AND STORAGE 254 840 1454 1580 Repair and installation of machinery and equipment 237 843 1257 1549 Manufacture of other non-metallic mineral products 218 755 1253 1544 Manufacture of electrical equipment 215 716 1114 1525 Sewerage 211 728 1296 1497 INDUSTRY 222 732 1189 1470 Printing and reproduction of recorded media 222 659 1143 1447 AVERAGE for the COUNTRY 214 746 1309 1444 Other mining and quarrying 263 756 1197 1438 209 Manufacture of rubber and plastic products 199 637 1008 1375 Manufacture of paper and paper products 208 680 1055 1348 Land transport and transport via pipelines 238 748 1266 1346 WATER SUPPLY; SEWERAGE, WASTE MANAGEMENT AND REMEDIATION ACTIVITIES 204 669 1154 1333 Manufacture of fabricated metal products, except machinery and equipment 190 708 1145 1331 MANUFACTURING 197 653 1050 1324 Postal and courier activities 216 822 1190 1317 EDUCATION 205 829 1538 1316 REAL ESTATE ACTIVITIES 195 629 1270 1268 CONSTRUCTION 186 628 1162 1247 WHOLESALE AND RETAIL TRADE; REPAIR OF MOTOR VEHICLES AND MOTORCYCLES 150 575 1042 1227 HUMAN HEALTH AND SOCIAL WORK ACTIVITIES 175 669 1266 1210 Forestry and logging; Fishing and aquaculture 192 630 1044 1172 Manufacture of textiles 153 519 853 1161 Other manufacturing 155 540 845 1115 ARTS, ENTERTAINMENT AND RECREATION 186 714 1195 1076 Waste collection, treatment and disposal activities; materials recovery; Remediation activities and other waste management services 167 572 1008 1071 AGRICULTURE, FORESTRY AND FISHING 163 527 914 1044 Crop and animal production, hunting and related service activities 152 487 855 987 Manufacture of food products 154 527 890 979 ADMINISTRATIVE AND SUPPORT SERVICE ACTIVITIES 148 467 835 966 Manufacture of leather and related products 133 484 750 951 Manufacture of furniture 152 513 807 947 Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials 138 453 726 911 Manufacture of wearing apparel 149 493 750 909 OTHER SERVICE ACTIVITIES 147 459 780 852 ACCOMMODATION AND FOOD SERVICE ACTIVITIES 138 455 773 841 Source: Romanian Statistical Institute 210 Annex 3. Job Creating Sectors Size of Sector in Industry Jobs Created 2011 2005-2008 2008-2011 Transportation and storage 281,817 14,251 15,257 Manufacture of motor vehicles, trailers and semi-trailers 109,806 39,959 814 Security and investigation activities 101,916 28,335 20,156 Food and beverage service activities 95,382 15,243 16,694 Wholesale and retail trade and repair of motor vehicles and 87,528 motorcycles 18,771 1,837 Water supply, sewerage, waste management and remediation 79,654 activity 10,876 13,032 Human health and social work activities 44,360 13,395 10,716 Computer programming, consultancy and related activities 41,267 9,535 9,576 Office administrative, office support and other business support 40,513 activities 13,233 9,831 Activities of head offices; management consultancy activities 40,253 12,489 7,255 Other service activities 39,152 4,812 4,230 Employment activities 36,007 10,697 14,138 Services to buildings and landscape activities 29,868 11,652 3,565 Arts, entertainment and recreation 29,771 4,418 9,415 Manufacture of computer, electronic and optical products 25,798 4,550 3,953 Legal and accounting activities 18,069 6,289 589 Other manufacturing 13,969 49 1 Other professional, scientific and technical activities 12,455 2,336 1,375 Education 12,246 3,678 2,459 Travel agency, tour operator reservation service and related 10,052 activities 2,562 198 Information service activities 9,137 2,617 3,178 Public administration and defense; compulsory social security 8,532 423 15 Veterinary activities 4,495 1,166 621 211 Annex 4. Driving buffers for major cities in Romania Timişoara 212 Cluj-Napoca 213 Iaşi 214 Constanţa 215 Braşov 216 Craiova 217 Ploieşti 218 Bucureşti 219 Annex 5. Concentrated economic sectors in Romania, in 2010 (with a Herfindahl Index higher than 0.15) Botanical and zoological gardens and nature reserves activities 1 Manufacture of magnetic and optical media 1 Manufacture of motorcycles 1 Manufacture of other transport equipment n.e.c. 1 Mining of chemical and fertilizer minerals 1 Mining of uranium and thorium ores 1 Postal activities under universal service obligation 1 Renting and leasing of air transport equipment 1 Extraction of crude petroleum 0.998131308 Mining of iron ores 0.997113492 Extraction of salt 0.996258551 Transmission of electricity 0.991798886 Striking of coins 0.978008792 Extraction of natural gas 0.9550674 General secondary education 0.944055312 Manufacture of plastics and rubber machinery 0.939033192 Manufacture of malt 0.91878861 Manufacture of motor vehicles 0.896209141 Mining of hard coal 0.886350058 Manufacture of flat glass 0.88587599 Cold drawing of wire 0.883401524 Support activities for petroleum and natural gas extraction 0.868497904 Manufacture of non-electric domestic appliances 0.833540664 Manufacture of communication equipment 0.829656567 Renting and leasing of water transport equipment 0.822974156 Precious metals production 0.816270704 Post-secondary non-tertiary education 0.81341934 Other non-ferrous metal production 0.803587458 Passenger rail transport, interurban 0.782922887 Manufacture of batteries and accumulators 0.773879089 Cold rolling of narrow strip 0.773377383 Manufacture of other articles of concrete, plaster and cement 0.764824901 Manufacture of prepared pet foods 0.757536187 Mining of lignite 0.752477711 Manufacture of consumer electronics 0.743878105 Manufacture of other ceramic products 0.730386027 Manufacture of fruit and vegetable juice 0.716755704 Radio broadcasting 0.707449417 Casting of other non-ferrous metals 0.705221557 Manufacture of tobacco products 0.690999398 Transport via pipeline 0.673267227 Renting and leasing of agricultural machinery and equipment 0.667145857 Manufacture of office machinery and equipment (except computers and peripheral equipment) 0.640592368 Sea and coastal passenger water transport 0.634544625 Combined facilities support activities 0.625656711 Other information service activities n.e.c. 0.62558071 Manufacture of ceramic tiles and flags 0.614361406 Manufacture of power-driven hand tools 0.611292648 Repair of electrical equipment 0.610896575 Manufacture of assembled parquet floors 0.608708182 220 Copper production 0.599310015 Manufacture of explosives 0.597744943 Manufacture of engines and turbines, except aircraft, vehicle and cycle engines 0.590110499 Manufacture of light metal packaging 0.56778937 Manufacture of military fighting vehicles 0.567600992 Mining of other non-ferrous metal ores 0.561085452 Service activities incidental to land transportation 0.560775798 Manufacture of computers and peripheral equipment 0.551052218 Manufacture of industrial gases 0.543137548 Processing and preserving of potatoes 0.535410323 Manufacture of fertilizers and nitrogen compounds 0.526015143 Manufacture of man-made fibers 0.518309906 Manufacture of other non-distilled fermented beverages 0.507020253 Repair and maintenance of aircraft and spacecraft 0.503705911 Manufacture of imitation jewelry and related articles 0.499207334 Manufacture of steam generators, except central heating hot water boilers 0.487181111 Motion picture, video and television programme post-production activities 0.476854412 Manufacture of hollow glass 0.473132136 Agents involved in the sale of agricultural raw materials, live animals, textile raw materials and semi-finished goods 0.464723811 Site preparation 0.463833869 Manufacture of plastics in primary forms 0.458918187 Aluminum production 0.457032384 Manufacture of watches and clocks 0.441227236 Manufacture of ceramic insulators and insulating fittings 0.438122856 Publishing of computer games 0.438095005 Manufacture of other textiles n.e.c. 0.414012827 Trade of gas through mains 0.413315018 Renting and leasing of office machinery and equipment (including computers) 0.41225141 Manufacture of other builders' carpentry and joinery 0.411315594 Agents involved in the sale of food, beverages and tobacco 0.410191378 Inland passenger water transport 0.408345833 Other accommodation 0.406637184 Manufacture of refined petroleum products 0.403324915 Manufacture of plaster products for construction purposes 0.403173206 Manufacture of fiber cement 0.400813831 Combined office administrative service activities 0.390200941 Manufacture of machinery for textile, apparel and leather production 0.389958903 Manufacture of other organic basic chemicals 0.38962294 Manufacture of other tanks, reservoirs and containers of metal 0.380857659 Manufacture of lime and plaster 0.379948166 Manufacture of margarine and similar edible fats 0.379193069 Repair of communication equipment 0.377149644 Treatment and disposal of hazardous waste 0.371558752 Manufacture of dyes and pigments 0.370379879 Extraction of peat 0.369791156 Manufacture of ceramic sanitary fixtures 0.360169765 Pre-primary education 0.359125167 Wholesale of watches and jewelry 0.357748697 Manufacture of synthetic rubber in primary forms 0.353278278 Manufacture of essential oils 0.353215521 Motion picture projection activities 0.351455471 Research and experimental development on social sciences and humanities 0.350959254 Manufacture of machinery for paper and paperboard production 0.350600603 Manufacture of other inorganic basic chemicals 0.348513503 221 Fitness facilities 0.348166018 Manufacture of other technical ceramic products 0.347655421 Manufacture of irradiation, electromedical and electrotherapeutic equipment 0.346064691 Renting and leasing of other personal and household goods 0.345500742 Manufacture of other technical and industrial textiles 0.343991127 Cold drawing of bars 0.342636397 Other residential care activities 0.342261801 Manufacture of rubber tires and tubes; retreading and rebuilding of rubber tires 0.339776145 Other mining and quarrying n.e.c. 0.339292994 Manufacture of coke oven products 0.338913231 Manufacture of agricultural and forestry machinery 0.338412428 Reproduction of recorded media 0.337810832 Manufacture of macaroni, noodles, couscous and similar farinaceous products 0.337230846 Manufacture of carpets and rugs 0.332186178 Manufacture of starches and starch products 0.330888277 Manufacture of electric domestic appliances 0.329066557 Manufacture of fiber optic cables 0.329011853 Manufacture of prepared meals and dishes 0.327509515 Manufacture of pesticides and other agrochemical products 0.326161909 Manufacture of cement 0.324935594 Service activities incidental to air transportation 0.324344885 Lead, zinc and tin production 0.3180063 Manufacture of sugar 0.313129221 Operation of arts facilities 0.311907781 Manufacture of fluid power equipment 0.309092079 Manufacture of perfumes and toilet preparations 0.308776013 Passenger air transport 0.303280439 Retail sale of sporting equipment in specialized stores 0.301335465 Manufacture of glues 0.299659239 Wired telecommunications activities 0.297998357 Repair of electronic and optical equipment 0.297137052 Distribution of gaseous fuels through mains 0.293529323 Educational support activities 0.290158371 Manufacture of homogenized food preparations and dietetic food 0.289722866 Retail sale of games and toys in specialized stores 0.289148079 Tanning and dressing of leather; dressing and dyeing of fur 0.288501222 Construction of utility projects for electricity and telecommunications 0.288463203 Pre-press and pre-media services 0.280042375 Manufacture and processing of other glass, including technical glassware 0.278148835 Sea and coastal freight water transport 0.276483864 Retail sale of tobacco products in specialized stores 0.272840236 Manufacture of bicycles and invalid carriages 0.272183248 Operation of sports facilities 0.270338715 Satellite telecommunications activities 0.270038441 Repair of other equipment 0.264408878 Freight air transport 0.263836963 Manufacture of basic pharmaceutical products 0.261970137 Computer facilities management activities 0.260615328 Wireless telecommunications activities 0.259494006 Building of ships and floating structures 0.254225124 Leasing of intellectual property and similar products, except copyrighted works 0.252239792 Manufacture of loaded electronic boards 0.251460641 Organization of conventions and trade shows 0.250836119 Manufacture of ovens, furnaces and furnace burners 0.249690728 Manufacture of machinery for mining, quarrying and construction 0.248489573 222 Processing of tea and coffee 0.247025473 Building of pleasure and sporting boats 0.246878479 News agency activities 0.245403362 Wholesale of tobacco products 0.245142329 Museums activities 0.24472543 Manufacture of ceramic household and ornamental articles 0.244237614 Operation of historical sites and buildings and similar visitor attractions 0.242917796 Manufacture of other non-metallic mineral products n.e.c. 0.241916231 Social work activities without accommodation for the elderly and disabled 0.238551593 Residential nursing care activities 0.236719997 Manufacture of sports goods 0.236148307 Photocopying, document preparation and other specialized office support activities 0.234817143 Manufacture of beer 0.234630051 Manufacture of mortars 0.233537803 Construction of water projects 0.231823979 Manufacture of soft drinks; production of mineral waters and other bottled waters 0.229343736 Other sports activities 0.226059569 Manufacture of optical instruments and photographic equipment 0.225794668 Manufacture of wiring devices 0.224405345 Retail sale of watches and jewelry in specialized stores 0.222860267 Activities of sport clubs 0.222280977 Television programming and broadcasting activities 0.219219321 Manufacture of cordage, rope, twine and netting 0.217054882 Manufacture of air and spacecraft and related machinery 0.216687795 Cultural education 0.215170205 Manufacture of soap and detergents, cleaning and polishing preparations 0.212501248 Manufacture of household and sanitary goods and of toilet requisites 0.210090323 Printing of newspapers 0.209688232 Casting of steel 0.20967307 Manufacture of cutlery 0.209227679 Technical and vocational secondary education 0.208666541 Residential care activities for the elderly and disabled 0.208301052 Manufacture of gas 0.207774735 Manufacture of musical instruments 0.206354149 Manufacture of electricity distribution and control apparatus 0.20569171 Publishing of directories and mailing lists 0.205060061 Retail sale of second-hand goods in stores 0.204712984 Manufacture of other pumps and compressors 0.203228647 Agents involved in the sale of fuels, ores, metals and industrial chemicals 0.202698923 Manufacture of other electronic and electric wires and cables 0.19974635 Manufacture of basic iron and steel and of ferro-alloys 0.199195958 Treatment and disposal of non-hazardous waste 0.197219604 Sewerage 0.195985 Freight rail transport 0.195382873 Repair of footwear and leather goods 0.194127984 Activities of head offices 0.193664123 Motion picture, video and television programme distribution activities 0.193146773 Activities of collection agencies and credit bureaus 0.192615758 Removal services 0.192544498 Repair of consumer electronics 0.191253893 Artistic creation 0.190269686 Processing and preserving of fish, crustaceans and molluscs 0.190185512 Manufacture of tubes, pipes, hollow profiles and related fittings, of steel 0.18986683 Cold forming or folding 0.189389335 Other building and industrial cleaning activities 0.187257045 223 Support activities to performing arts 0.184373038 Other social work activities without accommodation n.e.c. 0.184290871 Inland freight water transport 0.183609342 Legal activities 0.18183406 Manufacture of weapons and ammunition 0.181150031 Production of abrasive products 0.178023595 Manufacture of oils and fats 0.175214825 Agents involved in the sale of textiles, clothing, fur, footwear and leather goods 0.17457168 Manufacture of veneer sheets and wood-based panels 0.173076901 Manufacture of steel drums and similar containers 0.171499311 Manufacture of knitted and crocheted hosiery 0.17086869 Collection of hazardous waste 0.170245505 Other retail sale not in stores, stalls or markets 0.169418745 Manufacture of brooms and brushes 0.168928125 Manufacture of leather clothes 0.168742657 Retail sale of electrical household appliances in specialized stores 0.167876678 Manufacture of cocoa, chocolate and sugar confectionery 0.16602532 Manufacture of other food products n.e.c. 0.165619285 Repair of furniture and home furnishings 0.165595893 Renting and leasing of recreational and sports goods 0.164856761 Finishing of textiles 0.164797648 Dismantling of wrecks 0.163136474 Manufacture of electric lighting equipment 0.162226297 Sports and recreation education 0.162139174 Remediation activities and other waste management services 0.161869608 Manufacture of electronic components 0.161357 Retail sale of automotive fuel in specialized stores 0.161098103 224 Annex 6. Shift-Share analysis for Romania’s growth poles (before the Crisis: 2005-2008; and after the Crisis: 2008-2011) The Shift-Share analysis is widely used in policy circles to analyze the make-up and dynamism of local economies. For our purposes, we have not strayed too much from the original methodology, but are attaching here some of the key steps we went through: 1. As a first step we have secured a database with firm level information (most importantly employment and location) for all the firms in Romania. 2. 2005, 2008, and 2011 sector level employment (at the NACE 4 level) was separated out for the country as a whole, and for Romania’s seven designated growth poles. The growth poles include not only the center city, but also peri-urban localities that are part of the metropolitan area (each growth pole had to form a metropolitan area in order to receive EU structural funds through the Regional Operational Programme). 3. For each of the seven growth poles we have calculated location quotients for each individual sector represented locally. Location quotients basically divide the share of a particular sector in the overall economy of the growth pole to the share of that sector in the national economy. If the local share is higher than the national share (i.e., with a location quotient (LQ) higher than 1), than that particular industry is considered to be localized and a potential economic engine. 4. From among the sectors with a LQ higher than 1, we have selected those with the highest employment base – usually 20-30 sectors which employed in 2011 around 40%-50% of all employees. These localized industries were deemed “economic engines” for the growth poles. 5. The performance of these economic engines was then tested before the crisis, and after the crisis, using the Shift-Share method. 6. The Shift-Share method looks at how a particular sector has performed over time compared to the national economy, and how that sector has performed at the local level (i.e., at the growth pole level) compared to the sector performance at the national level. 7. This information was synthesized in a number of graphs, which are included below. On the X Axis, the graphs above show how the local industries in the growth pole have performed compared to the same industries at the national level (more specifically, whether they have gained employment faster or slower locally than at the national level). The Y Axis measures the performance of a particular industry/sector at the national level to the performance of the economy as a whole (i.e., whether the sector had gained employment faster or slower than the country as a whole). 8. “Winner” sectors are those sectors that have grown faster than the economy, and which at the local level have grown faster than the sector at the national level. For example, the fact that Computer Programming is a “Winner” in Cluj-Napoca, means that the sector Computer Programming has grown faster than the national economy (in terms of employment), and that the sector has grown even faster in Cluj-Napoca. 225 In simple terms, this means that this sector has become increasingly concentrated in Cluj-Napoca. 9. “Questionable Winner” sectors are those that have grown faster at the local level, but at the national level have had a poorer performance than the overall economy. For example, the sector Manufacture of footwear has grown faster in Brașov (between 2005-2008) than the sector has grown at the national level. However, at the national level, the sector performed below average (i.e., it was not one of the national employment generators). 10. “Loser” sectors are those that have performed poorly both locally and nationally. In other word, these were sectors that grew slower than the national economy, and grew even slower at the local level. 11. “Big Loser” sectors are those that have grown slower at the local level, but have grown faster at the national level. This basically indicates that that particular growth pole had lost employment in that sector to other areas. 226 Braşov 2005-2008 Shift-Share analysis 2008-2011 Shift-Share analysis 227 Constanța 2005-2008 Shift-Share analysis 2008-2011 Shift-Share analysis 228 Craiova 2005-2008 Shift-Share analysis 2008-2011 Shift-Share analysis 229 Cluj-Napoca 2005-2008 Shift-Share analysis 2008-2011 Shift-Share analysis 230 Iași 2005-2008 Shift-Share analysis 2008-2011 Shift-Share analysis 231 Ploiești 2005-2008 Shift-Share analysis 2008-2011 Shift-Share analysis 232 Timișoara 2005-2008 Shift-Share analysis 2008-2011 Shift-Share analysis 233 Annex 7. Proposed TEN-T Rail Network Source: European Commission 234 Annex 8. Improvement of access times to Western border, Bucureşti, and Constanţa, when TEN-T rail infrastructure will be finalized Travel time to Western border with current rail infrastructure Travel time to Western border with proposed infrastructure 235 Travel time to Bucureşti with current rail infrastructure Travel time to Bucureşti with proposed rail infrastructure 236 Travel time to Constanţa with current rail infrastructure Travel time to Constanţa with proposed rail infrastructure 237 Annex 9. The Local Human Development Index (LHDI) methodology The index of local human development measures the total capital of localities, looking in particular at four dimensions: human capital, health capital, vital capital, and material capital. Single indicators are used to measure each of the first three stocks. Material capital is assessed as a factor score of three specific indicators that focus on living standards: dwelling space, private cars to 1000 residents, and distribution of gas for household consumption in the particular territorial unit. The aggregation of the four measures of the dimensions of community capital is achieved by another factor score. One of the key advantages of LHDI is that it allows for comparison of very different localities, urban or rural, small or large. The LHDI Methodology The measure was proposed and tested tree years before and worked in a slightly 54 different form, with seven input indicators. The current form adopted three modifications compared to the initial version of the index: a) the indicators on material capital are integrated in an index before computing the final index; 54 Sandu, D. (2011). Disparități sociale în dezvoltarea și în politica regională din România. International Review of Social Research, I(1), 1-30. 238 b) the indicator on the demographic size of locality was not included into the computation for LHDI due to its very high variation (e.g., from over two million inhabitants for Bucuresti to only a few hundred for very small localities); c) very small localities of less than one thousands inhabitants are not included in the database. All localities (rural communes, especially) of less than one thousand are excluded from estimations. The LHDI is similar to the Human Development Index (HDI) used by UNDP. Both of them include measures of education, economic performance, and health. Only health is measured by life expectancy of birth in both indices. GDP that is specific for HDI is usually computed only for countries or large regional units. The factor score aggregating the four LHDI indicators for the four forms of community capital is converted to take a variation from about zero to about 100 by the Hull score= 50+14*factor score. The comparison between 2002 and 2011 data was assured by putting locality data for both years in the same database to generate different indices. LHDI values for counties or regions are generated as weighted averages of locality values, with population as a weighting factor. LHDI is limited in the Romanian statistical system to measuring community capital at each Census. This is due do the fact that data for measuring education stocks for each locality are available only at censuses. All the primary data have been provided by the National Institute of Statistics (NIS). NIS also computed life expectancy at birth for each locality (for periods of three consecutive years) and the average age of adult population. The new index is a measure of local human capital if one expands the 55 concept of human capital to include not only education, but also health. Adding the indicators of material capital and age structure makes the index a measure of community capital. Its validity was tested on large data sets and using the index 56 as predictor and as dependent variable in different multivariate analyses. Poverty as measured by LHDI is not to be confused with simple aggregations of individual or household poverty (headcount) indices. LHDI is a measure of the key stocks of community capital in its human, vital, health, and material forms. 55 Becker, G. S. 2009. Human capital: A theoretical and empirical analysis, with special reference to education: University of Chicago Press. 56 See for example: Sandu, D. 2011. Disparități sociale în dezvoltarea și în politica regională din România. International Review of Social Research, I(1), 1-30; or Sandu, D. 2013. Disparități și fluxuri în fundamentarea social-economică a regionalizării administrative a României. Bucuresti: Ministerul Dezvoltării Regionale și Administrației Publice. 239 Annex 10. Local Human Development Index by counties and residence, for 2002 and 2011 Develop Local Human Development Index (LHDI) LHDI2011-LHDI2002 ment RURAL URBAN TOTAL RURAL URBAN TOTAL level County 2002 2011 2002 2011 2002 2011 BUCURESTI (B) 76 102 76 102 0 26 26 upper developed ILFOV ( IF) 57 81 68 99 58 89 24 31 31 BRASOV (BV) 54 66 77 95 71 87 12 18 16 CLUJ (CJ) 44 62 79 99 68 87 18 20 19 SIBIU (SB) 53 64 79 94 70 84 11 15 14 TIMIS ™ 50 66 74 94 64 83 16 20 19 CONSTANTA (CT) 43 60 64 84 57 77 17 21 19 PRAHOVA (PH) 49 63 72 90 61 77 14 17 16 ALBA (AB) 49 60 73 87 63 76 11 15 13 developed ARGES (AG) 46 60 77 94 60 76 14 17 16 MURES (MS) 49 62 74 89 62 76 12 15 14 HUNEDOARA (HD) 47 60 64 80 60 75 13 15 15 ARAD (AD) 48 61 67 84 58 74 14 17 16 IASI (IS) 39 54 75 94 57 73 15 20 17 MARAMURES (MM) 45 58 67 83 57 73 13 15 16 DOLJ (DJ) 37 49 73 92 55 73 12 20 18 GORJ (GJ) 48 60 73 87 58 73 12 13 14 GALATI (GL) 40 53 68 87 56 72 13 19 16 BISTRITA NASAUD (BN) 48 59 77 93 58 72 11 17 14 SATU MARE (SM) 43 58 73 87 56 72 15 14 16 upper-middle developed BRAILA (BR) 38 48 65 84 55 72 11 19 17 HARGHITA (HG) 49 61 70 84 59 71 12 14 13 BIHOR (BH) 43 57 67 85 54 71 15 18 17 VALCEA (VL) 42 58 72 87 54 71 16 15 17 COVASNA (CV) 46 56 74 85 60 71 10 11 11 DIMBOVITA (DB) 47 63 75 88 55 71 16 13 15 CARAS-SEVERIN (CS) 44 56 66 81 56 70 12 14 14 SUCEAVA (SV) 47 60 70 82 54 69 13 12 15 SALAJ (SJ) 41 54 73 90 54 69 12 17 15 BACAU (BC) 40 53 69 87 53 68 13 18 15 NEAMT (NT) 42 56 70 86 53 68 14 16 15 VRANCEA (VR) 41 54 68 86 51 66 13 18 15 middle developed BUZAU (BZ) 40 52 69 85 51 66 12 16 14 TULCEA (TC) 41 51 60 78 50 65 11 18 15 MEHEDINTI (MH) 37 48 66 81 50 65 11 16 14 OLT (OT) 40 50 68 83 51 63 10 15 12 IALOMITA (IL) 36 46 66 79 48 61 10 13 14 VASLUI (VS) 33 44 68 83 47 60 10 14 13 lower middle BOTOSANI (BT) 32 44 67 81 44 60 13 14 15 developed CALARASI (CL) 35 48 57 77 43 59 13 20 16 GIURGIU (GR) 36 50 58 77 42 58 14 18 16 TELEORMAN (TL) 33 45 62 79 42 56 12 16 14 TOTAL 43 56 71 90 58 75 13 19 17 DISPARITY (MAX -MIN ) 25 38 21 25 33 44 240 Annex 11. Predictors of communes’ development, 2002, 2011 dependent var. dependent var. LHDI2002 LHDI 2011 b p b p -15.063 .000 -32.719 .000 located at European road* .111 .738 .806 .022 distance to the nearest city of 30 thou and -.068 .000 -.093 .000 more inhabit. population of the nearest city (ln transf) 1998 -.116 .317 .349 .004 rate of temporary emigration abroad, 2002 .029 .001 .037 .000 rate of commuters to urban localities, 2002 3.056 .000 3.179 .000 lifetime immigrants to 1000 inhabitants, 2002 .030 .000 .033 .000 returned migrants to 1000 inhabitants, 2002 -.190 .000 -.164 .000 geographic location (1 plain…5 mountains) .921 .000 .932 .000 population 2002 (ln) 5.388 .000 8.445 .000 % Hungarians in local pop. (ln) -.009 .957 -.099 .565 % Roma in local population (ln) -1.399 .000 -1.667 .000 Constanta -9.409 .000 -8.706 .000 Calarasi -8.477 .000 -8.645 .000 Vaslui -5.475 .000 -8.266 .000 Teleorman -6.723 .000 -7.393 .000 Ialomita -4.853 .000 -7.150 .000 Giurgiu -7.357 .000 -6.994 .000 Bacau -4.286 .000 -6.639 .000 Botosani -5.575 .000 -5.920 .000 Iasi -5.204 .000 -5.892 .000 Buzau -3.261 .006 -4.871 .000 Galati -2.753 .032 -4.113 .002 Braila -.749 .594 -3.550 .017 Tulcea -1.613 .240 -3.448 .017 Vrancea -1.850 .133 -3.261 .012 Dolj -2.206 .063 -2.660 .034 Neamt -2.240 .065 -2.550 .047 Mehedinti -.899 .478 -1.663 .214 Timis -2.116 .083 -1.522 .237 Olt 1.009 .395 -1.315 .293 Prahova -.894 .441 -1.242 .310 Arges -1.142 .317 -.934 .438 Covasna 2.365 .117 -.621 .696 Bihor -.655 .573 .724 .555 Valcea -2.191 .063 1.122 .366 Arad .218 .858 1.168 .362 Cluj -.392 .747 1.573 .219 Dambovita .327 .784 1.837 .144 Suceava 2.516 .032 2.058 .096 Caras_Severin 2.195 .066 2.119 .093 Bistrita_Nasaud 4.419 .000 2.582 .052 Gorj 3.052 .011 2.704 .034 SatuMare 1.475 .269 2.812 .046 Maramures 2.430 .054 2.870 .031 Alba 4.263 .000 3.045 .018 Harghita 2.830 .047 3.270 .029 Salaj 2.986 .020 3.380 .013 Mures 5.707 .000 4.409 .001 Brasov 5.680 .000 4.809 .001 Sibiu 8.196 .000 5.746 .000 Ilfov -1.363 .353 11.934 .000 R2 0.636 0.704 R2 without the effects of the counties 0.538 0.613 N 2518 2519 Hunedoara is the reference category for the series of variables on county location. 241 Annex 12. Regional gravity models with Euclidean distance These gravitational models were developed using a simple formula. Basically, for each locality the Euclidean distance was calculated to each other locality (straight line distance from the center of the locality to the center of each other locality). The demographic gravity model was obtained by summing the product of the population of Locality i and the population of Locality j divided by the square of the distance between them. The economic model was calculated in a similar manner, but instead of population, firm revenues were used. The demographic gravity model is highlighted in yellow (and the left position), while the economic gravity model is highlighted in blue (on the right). Center Region West Region 242 South Region North East Region 243 The North West Region The South East Region 244 The South West Region 245 Annex 13. Gravity fields of large cities and urban connectivity of localities as predictors of local human development57 It is not distance per se that explains local development. What mostly counts is the system of gravity fields a locality is part of and its urban connectivity. Specific measures were constructed to measure the characteristics of inter-local distances in Romania that could be relevant for local human development (LHD). 58 Four gravity fields were determined starting from the identification of the nearest urban neighbor of a locality in a certain size category (very large – over 200,000 inhabitants; large – 100,000 to 200,000 inhabitants; medium – 50,000 to 100,000; and, small – 30,000 to 50,000 inhabitants of the city or town). In the convergence area of Timisoara, for example, the most intense gravity field connects the commune of Dumbrăvița with Timisoara at an index of 47.97 (=7,500 population of Dumbravita* 200,000 minimum limit of population for very 2 large cities/square distance in km between Dumbrăvița and Timisoara 5.6 ). The first ten localities connected by the highest intensity fields with Timisoara are: intensity of gravity field DUMBRAVITA 47.97 GIROC 19.4 MUNICIPIUL ARAD 15.5 GHIRODA 14.65 MOSNITA NOUA 8.76 SANMIHAIU ROMAN 8.5 SACALAZ 8.15 GIARMATA 7.69 SAN ANDREI 6.87 DUDESTII NOI 6.36 Following the above mentioned procedure four indices of intensity of gravity fields are computed for each locality. Another series of variables specify the localities that have each of the nine major city of over 200,000 inhabitants as the nearest neighbor. All the 275 localities that have Timisoara as the nearest neighbor in the category of very large towns are assigned the value 1 and the rest zero. Similarly are constructed dummy variables for localities polarized by Cluj, Brasov, Iasi, Galati, Constanta, Ploiesti, Craiova and Bucuresti. 57 The methodology for assessing localities’ connectivity was developed by Dumitru Sandu 58 The matrix of the distanced among all the localities of the country was developed by the Advanced Studies and Research Center. 246 An index of commune urban connectivity (IURCON) measures how close is each locality to its nearest neighbor in each category of small, medium, large and very large cities. It is constructed as a geometric mean (numerator in each fraction represents the minimal limit of population, in thousands, for the size category of cities): For the case of the above mentioned commune of Dumbrăvița from Timis, the nearest cities are Timisoara, Arad, Resita and Lugoj. With the above formula and appropriate data, the index is Predicting Local Human Development by gravity fields and urban connectivity Dependent variable LHDI2011 for cities under 200 thou communes inhabitants b beta p b beta p (Constant) -38.368 0.000 -17.399 0.014 rate of temporary emigration abroad, 2002 0.065 0.087 0.000 0.052 0.058 0.059 predictors migration rate of commuters to urban localities, 2002 4.464 0.351 0.000 1.975 0.135 0.001 lifetime immigrants to 1000 inhabitants, 2002 0.032 0.300 0.000 0.036 0.398 0.000 returned migrants to 1000 inhabitants, 2002 -0.191 -0.150 0.000 -0.301 -0.110 0.000 ethnicity % Hungarians in local pop. (ln) 0.035 0.004 0.801 0.029 0.003 0.937 % Roma in local population (ln) -1.212 -0.104 0.000 -2.440 -0.147 0.000 connectivity Index of urban connectivity 0.886 0.039 0.025 3.076 0.114 0.009 locality close to an European road* 0.855 0.029 0.019 1.296 0.052 0.080 0.322 0.091 0.000 -0.115 -0.049 0.150 nearest neighbor in streight line gravity force of over 200 thou. Inhabitants neighbour of.. nearest 0.236 0.034 0.009 -0.164 -0.028 0.365 100 thou to 200 thou inhabitants CLUJ 1.640 0.061 0.021 3.790 0.136 0.015 from the category of over 200 thou -0.160 -0.004 0.854 0.056 0.001 0.977 TIMISOARA 0.381 0.010 0.564 3.956 0.118 0.005 BRASOV cities IASI -3.681 -0.119 0.000 2.117 0.056 0.230 GALATI -2.564 -0.062 0.000 -3.637 -0.075 0.026 CONSTANTA -6.095 -0.094 0.000 -10.744 -0.182 0.000 PLOIESTI -1.889 -0.048 0.004 -1.701 -0.038 0.328 BUCURESTI -2.863 -0.072 0.000 -0.767 -0.018 0.690 controle geographic location (1 plain…5 mountains) 1.475 0.153 0.000 -0.152 -0.016 0.656 variables 8.161 0.361 0.000 7.620 0.579 0.000 population of locality 2002 (ln) percentile group of distance to Bucuresti 0.175 0.040 0.200 -0.618 -0.132 0.087 R2 0.647 0.797 N 2529 308 247