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Sectorial background of urban–rural economic development inequalities

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Presentation on theme: "Sectorial background of urban–rural economic development inequalities"— Presentation transcript:

1 Sectorial background of urban–rural economic development inequalities
dr. Jeney László Senior lecturer Economic Foundations of Local Development Module 1/b: Urban and Rural development by sectors Autumn term 2016/2017. CUB Department of Economic Geography and Futures Studies

2 Shifting of the economic Core
2 2

3 Geographical concentration of the economy still remained in the Core
Economic development: GDP per capita Economic density: area GDP per area 3 3

4 The European Pentagon Pentagon/Core
Area: 20% Population: 40% GDP: 50% Cities over 500 thousand residents: population: 20% GDP: 29% GDP/cap.: 141% GDP-growth: faster with +8%-point 4 4

5 Economic Importance of Cities in North America
Economic development measured only with per capita GDP At current market prices in € Examined area: V4 Countries (CZ. HU. PL. SK) Examined regional level: NUTS3 Examined period: 1995–2004 Data source: Eurostat Proportion of cities in Canada/USA country population GDP USA (SMA) 38% 49% Canada (CMA) 45% 54% 5 5

6 Key Factors of Urban Competitiveness in European Space Structure
6

7 The subject of research, basic assumptions
New factors affecting the regional processes of East Central Europe at the turn of the millennium Transition (the end of the bipolar world system) Integration (accession to the European Union) Globalization Dynamic take-off, but cities and rural regions get different developmental impulses Dual effects on economic pattern of V4 Countries (trade-off theories) Convergence in pan-European relation (catching-up) Divergence in urban–rural relation

8 Territorial frame East Central Europe V4 Countries
Broader Cultural, historical relationships V4 Countries Narrower Current political states (CZ, HU, PL, SK) Regional level: NUTS3

9 Definition of the Concept of Urban and Rural Regions
Urban regions = cities Population >500 thousand + Bratislava Without suburbs Regions at NUTS3 level (Bratislava  Bratislavský County) Rural regions = complementary regions ≠ Villages ≠ Regions with rural characters (e. g. sparse population, importance of agriculture)

10 Database used Economic development measured only with per capita GDP
At current market prices in € Examined area: V4 Countries (CZ. HU. PL. SK) Examined regional level: NUTS3 Examined period: 1995–2004 Data source: Eurostat

11 Cities as positive residuums of the East Central European space structure
population 2004 (million) GDP 2004 (billion €) per capita GDP 2013 (€ per capita) GDP growth 1995–2013 (%) V4 Total 64 407 6377 206 Cities 8 106 13368 237 Relative state of cities 12% 26% 210% +31%-point EU 20% 29% 141% +8%-point

12 Differences of Urban–Rural Duality in Member States of EU, 2013
Measuring Urban–Rural Duality DUR: urban–rural duality index xU: average per capita GDP of cities in a country xR: average per capita GDP of rural regions in a country Source of data: Eurostat

13 Relationship Between State of Development and Urban–Rural Duality for EU Members, 2004
Source of data: EuroStat 13 13

14 Post-socialist countries: characterized with growing urban–rural dualism
Source of data: EuroStat Chiefly the outstanding of capitals More remarkable in case of underdeveloped, catching-up V4 countries than older members Change of Urban–Rural Duality in EU Member States, 1995–2013 14 14

15 Growing Importance of Cities in European Economic Pattern
Economic Development State of Cities and Rural Regions Related to their National Average Most of the cities over average Studying success of cities: key issue for current European regional trends and regional policy Some countries Only the cities are over average (e. g. V4) Other inequality factors are more important (Germany. Italy. Romania. Spain)

16 State of cities and rural regions as compared to the national averages of V4 member countries, 2013

17 Role of urban–rural inequality in overall regional inequalities
Measuring overall economic inequalities at level of NUTS3 regions (H. Hoover index): n: number of regions at NUTS3 level (n = 87 for Visegrad Countries) xi: share of “i” region of the total GDP of the country fi: share of “i” region of the total population of the country Measuring urban–rural inequalities (Hur: Hoover index same formula) n = 2 (aggregate of 8 cities and aggregate of 79 rural NUTS3 regions) Role of urban–rural inequality with the overall regional inequalities (Rur):

18 Degree of urban–rural inequality in proportion to the overall regional inequalities in EU, 2013
Source of data: EuroStat

19 Role of urban–rural inequality in overall regional inequalities of EU member states, 2013
Rur: role of Hur in overall regional inequalities (H) Hur: urban–rural inequality Source of data: EuroStat

20 Groups of EU members according to the inequality at urban–rural and NUTS3 regional level, 2013
Hur. urban–rural inequality (10%) H. overall regional inequality at NUTS3 level (10%) Rur. role of urban–rural inequality in overall regional inequalities (70%) Types of countries High BG. CZ. F. GR. LV. LT. H. P. PL. SK Low A. B. GB. D. I. RO SF. S DK. NL. E Source of data: EuroStat

21 Role of urban–rural inequality in overall regional inequalities of V4 member states, Hoover index 2013 Source of data: EuroStat

22 Post-socialist cities are to join to the 2nd level of European city-network
Studying success of cities: key issue for current European regional trends and regional policy New European models on Peripheries should adjust the classic urban zone of Blue Banana Sunbelt or (Golden Banana) Central European Boomerang Post-socialist cities: new development wave (similar to Southern Periphery) based chiefly on international investments 22 22

23 BUT: weak position of V4 cities in the European Urban hierarchy
Worse position of V4: V4 countries: 508 company from the 15 thousand largest company of EU Air traffic Relative better position of V4 International meetings (better position) 23 23

24 Cities and NUTS2 regions: gerrymandering for development
Budapest, Warsaw Suburban zone  lower common average Initially: better position for EU-supports Later: due to the urban development  no supports Prague Suburban zone: target area of EU supports

25 The sectoral background of the urban–rural development inequalities

26 V4: success of cities not independent of the shift of their sectoral structure
Increase of urban–rural inequality is mainly tertiary based Industrial renewal hide in the background of fine differences among rural regions Agriculture Industry Services Cities 1995–2013. 1.3 1.8 2.6 Rural regions 1995–2013. 1.9 2.1 Growth Indexes of Gross Value Added (GVA) in the Sectors in V4 Countries, 1995–2013. 26 26

27 Growth of GDP and GVA by Sectors for Cities and Rural Regions
Agriculture Industry Services Czech rural regions 2.0 1.4 2.1 Hungarian rural regions 2.3 1.7 2.5 Polish rural regions 1.8 1.2 Slovakian rural regions 2.2 1.6 2.4 Prague 1.9 2.6 Budapest 1.1 Polish cities 1.5 Bratislava Total GDP 1.3 27

28 Regional and Sectoral Shifts within Industry after Transition (1992–1998): The Case of Hungary
28

29 Regional Shifts in Hungarian Industry. 1992–1998.
Employment: BUDAPEST (%) 29 22 Industrial output 23 524 33 316 36 24 Industrial export 5 449 16 371 FEJÉR county (%) 7 38 17 29

30 Sectoral Shifts in Hungarian Industry. 1992–1998.
Industries 1992 1998 Employment Machinery and equipment (%) 21 25 Textile. wearing apparel. leather products (%) 15 17 Food. beverages and tobacco products (%) 18 16 Output 13 36 23 Chemical industry (%) 19 Electricity. gas. steam and water supply (%) 20 12 Export 27 61 8 30

31 Changes in Regional Industrial Specialization in Hungary. 1992–1998
Changes in Regional Industrial Specialization in Hungary. 1992–1998. Hirschman–Herfindahl index 1992 1998 employment output export 31 31

32 Regional Differences of the Economic Development Level in Hungary, 1998. (NUTS3)
32 32

33 Conclusions Postsocialist countries: characterized with growing urban–rural dualism Chiefly the outstanding of capitals More remarkable in case of underdeveloped, catching-up V4 countries than older members Not only the urban–rural inequality increases, but its role is more and more appreciated in overall regional inequalities V4: success of cities not independent of the shift of their sectoral structure Increase of urban–rural inequality is mainly tertiary based Industrial renewal hide in the background of fine differences among rural regions 33 33


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