Models and Simulations of GDP per Inhabitant Across Europe’s Regions: A Preliminary View

  • Bernard Fingleton
Part of the Advances in Spatial Science book series (ADVSPATIAL)


The intention in this chapter is to illustrate the geographical distribution across the EU regions of a selection of important socio-economic indicators and to describe some recent economic growth trends. Some attention is also given to convergence, which might be explained by neoclassical growth theory and a process of diminishing returns (see Barro and Sala-i-Martin 1991), but which might also be observed for regions in the sway of some other convergence-inducing mechanism, for instance the impact of structural funds, the effects of policy instruments on the migration of labour or on capital mobility, or the diffusion of innovations. Bearing in mind these alternatives, the chapter estimates cross-sectional models based on neoclassical growth theory as a basis for exploring via simulation alternative scenarios.


Population Growth Rate Gini Coefficient Technical Progress Capita Growth Capita Level 
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  1. Aghion P. and Howitt P. (1992) A model of growth through creative destruction, Econometrica, 60, 323–351CrossRefGoogle Scholar
  2. Anselin L. (1988) Spatial Econometrics: Methods and Models Dordrecht: KluwerCrossRefGoogle Scholar
  3. Anselin L. and Florax R. (1995) Small sample properties of tests for spatial dependence in regression models: some further results, in L. Anselin and R. Florax (eds) New Directions in Spatial Econometrics Berlin: Springer-Verlag, 21–75CrossRefGoogle Scholar
  4. Armstrong H.W. (1995) Convergence among regions of the European Union 1950–1990, Papers in Regional Science 74, 143–152Google Scholar
  5. Armstrong H.W. and Vickerman R.W. (eds.) (1995) Convergence and Divergence among European Regions, London: PionGoogle Scholar
  6. Arrow, K.J. (1962) The economic implications of learning by doing, Review of Economic Studies 29, 155–173CrossRefGoogle Scholar
  7. Barro R. and Sala-i-Martin X. (1995) Economic Growth New York: McGraw Hill IncGoogle Scholar
  8. Burridge P. (1980) On the Cliff-Ord test for spatial autocorrelation, Journal of the Royal Statistical Society B, 42, 107–8Google Scholar
  9. Cheshire P. and Carbonaro G. (1995) Convergence-divergence in regional growth rates: an empty black box?, in H.W. Armstrong and R.W. Vickerman (eds) Convergence and Divergence among European Regions European Research in Regional Science, Pion, London, 89–111Google Scholar
  10. Copus A. K. (1997) A new peripherality index for European regions a report for the Highlands and Islands European PartnershipGoogle Scholar
  11. Fingleton B. (1999) Estimates of time to economic convergence: an analysis of regions of the European Union, International Regional Science Review, 22, 5–35Google Scholar
  12. Fingleton B. (2000) Convergence: international comparisons based on a simultaneous equation model with regional effects, International Review of Applied Economics, 143, 285–305CrossRefGoogle Scholar
  13. Fingleton B. (2001) Equilibrium and economic growth: spatial econometric models and simulations, Journal of Regional Science, 41, 117–148CrossRefGoogle Scholar
  14. Fingleton B. (2002) Regional economic growth and convergence : insights from a spatial econometric perspective, forthcoming in L. Anselin and R. Florax (eds) New Advances in Spatial Econometrics, Heidelberg: Springer-VerlagGoogle Scholar
  15. Fingleton B., Lewney R. and Pinelli D. (1997) Regional Growth and Convergence, published as Vol 1 of Subseries VI of the EC’s Single Market Review, London: Kogan PageGoogle Scholar
  16. Grossman G.M. and Helpman E. (1991) Innovation and Growth in the Global Economy, Cambridge: MIT PressGoogle Scholar
  17. Grossman G.M. and Helpman E. (1994) Endogenous innovation in the theory of growth, Journal of Economic Perspectives, 8, 23–44CrossRefGoogle Scholar
  18. Haining R. P. (1990) Spatial Data Analysis in the Social and Environmental Sciences, Cambridge: Cambridge University PressCrossRefGoogle Scholar
  19. Jones C. I. (1995) R&D-based models of Economic growth, Journal ofPolitical economy, 103 759–784CrossRefGoogle Scholar
  20. Jones C. I. (1997) Convergence revisited, Journal of Economic Growth, 2, 131–153CrossRefGoogle Scholar
  21. Levine R. and Renelt D. (1992) A sensitivity analysis of cross-country growth regressions, American Economic Review, 82, 942–963Google Scholar
  22. Lucas R.E. Jr (1988) On the mechanics of development planning, Journal of Monetary Economics, 22, 3–42CrossRefGoogle Scholar
  23. Mankiw N. G., Romer P., and Weil D. N. (1992) A contribution to the empirics of growth, Quarterly Journal of Economics, 107, 407–438CrossRefGoogle Scholar
  24. Pinelli D., Giacometti R., Lewney R., and Fingleton B. (1998) European Regional Competitiveness Indicators, Discussion Paper 103, Department of Land Economy, Cambridge UniversityGoogle Scholar
  25. Romer P.M. (1986) Increasing returns and long-run growth, Journal of Political Economy, 94, 1002–1037CrossRefGoogle Scholar
  26. Romer P.M. (1990) Endogenous Technical Change, Journal ofPolitical Economy, 98, 71–102CrossRefGoogle Scholar
  27. Romer P.M. (1994) The origins of endogenous growth, Journal of Economic Perspectives, 8, 3–22CrossRefGoogle Scholar
  28. Solow R.M. (1956) A contribution to the theory of economic growth, Quarterly Journal of Economics, 70, 65–94CrossRefGoogle Scholar
  29. Solow R.M. (1994) Perspectives on growth theory, Journal of Economic Perspectives, 8, 45–54CrossRefGoogle Scholar
  30. Swan T. W. (1956) Economic Growth and capital accumulation, Economic Record, 32, 334–361CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Bernard Fingleton
    • 1
  1. 1.University of CambridgeUK

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