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Spatial Convergence Clubs and the European Regional Growth Process,1980–1995

  • Catherine Baumont
  • Cem Ertur
  • Julie Le Gallo
Part of the Advances in Spatial Science book series (ADVSPATIAL)

Abstract

In international cross-country studies, evidence for club convergence has often been found using different methodologies (Baumol 1986; Durlauf and Johnson 1995; Quah 1996a, 1997). In the case of the European regions, Ertur and Le Gallo (see Chap. 2) and Le Gallo et al. (see Chap. 3) have shown that the convergence rate among European regions is slow and that GDP disparities seem to be persistent despite the European economic integration process and higher growth rates of some poorer regions, as highlighted as well in the European Commission reports (1996, 1999). Moreover, over the 1980–1995 period, Ertur and Le Gallo (see Chap. 2) found that the geographical distribution of European regions exhibits a persistent polarization pattern between rich regions in the north and poor regions in the south.

Keywords

Ordinary Little Square Spatial Autocorrelation Ordinary Little Square Estimation Spatial Weight Matrix Spatial Error Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Akaike H (1974) A New Look at the Statistical Model Identification. IEEE Transactions on Automatic Control AC-19:716–723CrossRefGoogle Scholar
  2. Anselin L (1988a) Spatial Econometrics: Methods and Models. Kluwer Academic Publishers, DordrechtCrossRefGoogle Scholar
  3. Anselin L (1988b) Lagrange Multiplier Test Diagnostics for Spatial Dependence and Spatial Heterogeneity. Geographical Analysis 20:1–17CrossRefGoogle Scholar
  4. Anselin L (1990a) Spatial Dependence and Spatial Structural Instability in Applied Regression Analysis. Journal of Regional Science 30:185–207CrossRefGoogle Scholar
  5. Anselin L (1990b) Some Robust Approach to Testing and Estimating in Spatial Econometrics. Regional Science and Urban Economics 20:141–163CrossRefGoogle Scholar
  6. Anselin L (1996) The Moran Scatterplot as an ESDA Tool to Assess Local Instability in Spatial Association. In: Fisher M, Scholten HJ, Unwin D (eds) Spatial Analytical Perspectives on GIS. Taylor & Francis, LondonGoogle Scholar
  7. Anselin L (1999) Space Stat, a Software Package for the Analysis of Spatial Data, Version 1.90. BioMedware, Ann ArborGoogle Scholar
  8. Anselin L (2001) Spatial Econometrics. In: Baltagi B (ed) Companion to Econometrics. Basil Blackwell, Oxford, Chap. 14, pp 310–330Google Scholar
  9. Anselin L, Bera A (1998) Spatial Dependence in Linear Regression Models with an Introduction to Spatial Econometrics. In: Ullah A, Giles DEA (eds) Handbook of Applied Economic Statistics. Springer-Verlag, Berlin, Chap. 7, pp 237–289Google Scholar
  10. Anselin L, Cho WKT (2000) Spatial Effects and Ecological Inference. Working Paper. University of Illinois, Urbana-ChampaignGoogle Scholar
  11. Anselin L, Florax R (1995) Small Sample Properties of Tests for Spatial Dependence in Regression Models. In: Anselin L, Florax R (eds) New Directions in Spatial Econometrics. Springer-Verlag, BerlinCrossRefGoogle Scholar
  12. Anselin L, Griffith D (1988) Do Spatial Effects Really Matter in Regression Analysis? Papers in Regional Science 65 :11–34Google Scholar
  13. Anselin L, Bera AK, Florax R, Yoon MJ (1996) Simple Diagnostic Tests for Spatial Dependence. Regional Science and Urban Economics 26:77–104CrossRefGoogle Scholar
  14. Armstrong H (1995) Convergence among the Regions of the European Union. Papers in Regional Science 74:143–152Google Scholar
  15. Azariadis C, Drazen A (1990) Threshold Externalities in Economic Development. Quarterly Journal of Economics 105:501–526CrossRefGoogle Scholar
  16. Baldwin RD, Forslid R (2000) The Core-Periphery Model and Endogenous Growth: Stabilizing and Destabilizing Integration. Economica 67:307–324CrossRefGoogle Scholar
  17. Baumol W.J., 1986, Productivity Growth, Convergence and Welfare: What the Long Run Data Show. American Economic Review 76:1072–1085Google Scholar
  18. Beine M, Jean-Pierre P (2000) L’apport des tests de racine unitaire en panel à l’identification des club de convergence. In: Beine M, Docquier F (eds.), Croissance et Convergence Economiques des Régions: Théorie, Faits et Déterminants, De Boeck Université, BrusselsGoogle Scholar
  19. Bernard A.B., Durlauf S.N. (1996) Interpreting Tests of the Convergence Hypothesis. Journal of Econometrics 71:161–173CrossRefGoogle Scholar
  20. Brakman S., Garresten H., Gigengack, van Marrewijk C., Wagenvoort R (1996) Negative Feedbacks in the Economy and Industrial Location. Journal of Regional Science 36:631–651CrossRefGoogle Scholar
  21. Breusch T, Pagan A (1979) A Simple Test for Heterosckedasticity and Random Coefficient Variation. Econometrica 47:1287–1294CrossRefGoogle Scholar
  22. Brunsdon C, Fotheringham AS, Charlton M (1999) Some Notes on Parametric Significance Tests for Geographically Weighted Regression. Journal of Regional Science 39:497–524CrossRefGoogle Scholar
  23. Burridge P (1981) Testing for a Common Factor in a Spatial Autoregression Model. Environment and Planning Series A 13:795–800CrossRefGoogle Scholar
  24. Cliff AD, Ord JK (1981) Spatial Processes: Models and Applications. Pion, LondonGoogle Scholar
  25. DeLong JB (1988) Productivity Growth, Convergence and Welfare: Comment. American Economic Review 78 :1138–1154Google Scholar
  26. Durlauf SN, Johnson PA (1995) Multiple Regimes and Cross-Country Growth Behaviour. Journal of Applied Econometrics 10: 365–384CrossRefGoogle Scholar
  27. Englmann FC, Walz U (1995) Industrial Centers and Regional Growth in the Presence of Local Inputs. Journal of Regional Science 35:3–27CrossRefGoogle Scholar
  28. European Commission (1996) First report on economic and social cohesion. Official Publication Office, LuxembourgGoogle Scholar
  29. European Commission (1999) The European Regions: Sixth Periodic Report on the Socio Economic Situation in the Regions of the European Union. Official Publication Office LuxembourgGoogle Scholar
  30. Fingleton B (1999) Estimates of Time to Economic Convergence: An Analysis of Regions of the European Union. International Regional Science Review 22:5–34Google Scholar
  31. Friedman M (1992) Do Old Fallacies Ever Die? Journal of Economic Literature 30:2129–2132Google Scholar
  32. Galor O (1996) Convergence? Inference from Theoretical Models. Economic Journal 106:1056–1069CrossRefGoogle Scholar
  33. Jarque CM, Bera AK (1987) A test for Normality of Observations and Regression Residuals. International Statistical Review 55:163–172CrossRefGoogle Scholar
  34. Kelejian HH, Prucha IR (1999) A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model. International Economic Review 40:509–534CrossRefGoogle Scholar
  35. Krugman P (1991) Increasing Returns and Economic Geography. Journal of Political Economy 99:483–499CrossRefGoogle Scholar
  36. Krugman P., 1993, On the Number and Location of Cities, European Economic Review, 37:293–298CrossRefGoogle Scholar
  37. Krugman P, Venables Ai (1995) Globalization and the Inequality of Nations. Quarterly Journal of Economics 110:857–880CrossRefGoogle Scholar
  38. Krugman P, Venables AJ (1996) Integration, Specialization, and Adjustment. European Economic Review 40:959–967CrossRefGoogle Scholar
  39. Kubo Y (1995) Scale Economies, Regional Externalities, and the Possibility of Uneven Development. Journal of Regional Science 35:29–42CrossRefGoogle Scholar
  40. Le Gallo J (2001) Space-Time Analysis of GDP Disparities among European regions: A Markov chains approach. Working Paper n°2001–05, LATEC, University of Burgundy, DijonGoogle Scholar
  41. Mankiw NG, Romer D, Weil DN (1992) A Contribution to the Empirics of Economic Growth. Quarterly Journal of Economics 107:407–437CrossRefGoogle Scholar
  42. Martin P, Ottaviano GIP (1999) Growing Locations: Industry Location in a Model of Endogenous Growth. European Economic Review, 43:281–302CrossRefGoogle Scholar
  43. McMillen DP (1992) Probit with Spatial Autocorrelation. Journal of Regional Science, 32:335–348CrossRefGoogle Scholar
  44. Monfort P, Nicolini R (2000) Regional Convergence and International Integration. Journal of Urban Economics 48:286–306CrossRefGoogle Scholar
  45. Puga D (1999) The Rise and Fall of Regional Inequalities. European Economic Review, 43:303–334CrossRefGoogle Scholar
  46. Quah D (1993a) Empirical Cross-section Dynamics in Economic Growth. European Economic Review 37:426–434CrossRefGoogle Scholar
  47. Quah D (1993b) Galton’s Fallacy and Tests of the Convergence Hypothesis. Scandinavian Journal of Economics 95:427–443CrossRefGoogle Scholar
  48. Quah D (1996a) Empirics for Economic Growth and Convergence. European Economic Review 40:1353–1375CrossRefGoogle Scholar
  49. Quah D (1996b) Twin Peaks: Growth and Convergence in Models of Distribution Dynamics. Economic Journal 106:1045–1055CrossRefGoogle Scholar
  50. Quah D (1996c) Regional Convergence Clusters across Europe. European Economic Review 40: 951–958CrossRefGoogle Scholar
  51. Quah D (1997) Empirics for Growth and Distribution: Stratification, Polarization and Convergence Clubs. Journal of Economic Growth 2:27–59CrossRefGoogle Scholar
  52. Schwarz G (1978) Estimating the Dimension of a Model. The Annals of Statistics, 6:461–464CrossRefGoogle Scholar
  53. Walz U (1996) Transport Costs, Intermediate Goods and Localized Growth. Regional Science and Urban Economics 26:671–695CrossRefGoogle Scholar
  54. White H (1980) A Heteroskedastic-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity. Econometrica 48:817–838CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Catherine Baumont
    • 1
  • Cem Ertur
    • 1
  • Julie Le Gallo
    • 1
  1. 1.University of BurgundyFrance

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