An Exploratory Spatial Data Analysis of European Regional Disparities, 1980–1995

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


European integration has stimulated numerous studies of regional economic convergence within the European Union in recent macroeconomic and regional science literature (e.g. Abraham and Von Rompuy 1995; Armstrong 1995a; Neven and Gouyette 1995; Martin 2001). Most of the time, the empirical methods that have been used are identical to the methods employed in international studies. However, spatial effects, particularly spatial autocorrelation and spatial heterogeneity, must be taken into account when analyzing the convergence process at regional scale. There are number of factors — trade between regions, technology, knowledge diffusion and more generally regional spillovers — that lead to geographically dependent regions. Because of spatial interactions between regions, geographical location is important in accounting for the economic performances of regions. Yet for all its importance, the role of spatial effects in convergence processes has only been recently examined using the appropriate spatial statistic and econometric methods (Armstrong 1995b; Fingleton 1999; López-Bazo et al. 1999, for European regions; Rey and Montouri 1999; Rey 2001, for US states).


Average Growth Rate Spatial Weight Matrix Exploratory Spatial Data Analysis Transition Probability Matrice Local Spatial Autocorrelation 
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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  1. Abraham F, Von Rompuy P (1995) Regional convergence in the European Monetary Union. Papers in Regional Science 74:125–142Google Scholar
  2. Anselin L (1988) Spatial econometrics: methods and models. Kluwer Academic Publishers, DordrechtCrossRefGoogle Scholar
  3. Anselin L (1990a) Spatial dependence and spatial structural instability in applied regression analysis. Journal of Regional Science 30:185–207CrossRefGoogle Scholar
  4. Anselin L (1990b) Some robust approach to testing and estimating in spatial econometrics. Regional Science and Urban Economics 20:141–163CrossRefGoogle Scholar
  5. Anselin L (1995) Local indicators of spatial association-LISA. Geographical Analysis 27:93–115CrossRefGoogle 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 (1998a) Interactive techniques and exploratory spatial data analysis. In: Longley PA, Goodchild MF, Maguire DJ, Wind DW (eds) Geographical information systems: principles, techniques, management and applications. Wiley, New YorkGoogle Scholar
  8. Anselin L (1998b) Exploratory spatial data analysis in a geocomputational environment. In: Longley PA, Brooks SM, McDonnell R, Macmillan B (eds) Geocomputation, a primer. Wiley, New YorkGoogle Scholar
  9. Anselin L (1999) Space Stat, a software package for the analysis of spatial data, Version 1.90. BioMedware, Ann ArborGoogle Scholar
  10. Anselin L (2001) Spatial econometrics. In: Baltagi B (ed) Companion to econometrics. Basil Blackwell, OxfordGoogle Scholar
  11. Anselin L, Bao S (1997) Exploratory spatial data analysis linking Space Stat and Arc View. In: Fischer M, Getis A (eds) Recent developments in spatial analysis. Springer, BerlinGoogle Scholar
  12. Anselin L, Bera A (1998) Spatial dependence in linear regression models with an application to spatial econometrics. In: Ullah A, Giles DEA (eds) Handbook of Applied Economics Statistics. Springer, BerlinGoogle Scholar
  13. Anselin L, Cho WKT (2000) Spatial effects and ecological inference. Working Paper, University of Illinois, Urbana-Champaign.Google Scholar
  14. Arbia G (1989) Spatial data configuration in statistical analysis of regional economic and related problems. Kluwer Academic Publishers, BostonCrossRefGoogle Scholar
  15. Armstrong H (1995a) Convergence among the regions of the European Union. Papers in Regional Science 74:143–152Google Scholar
  16. Armstrong H (1995b) An appraisal of the evidence from cross-sectional analysis of the regional growth process within the European Union. In: Armstrong H, Vickerman R (eds) Convergence and divergence among European regions. Pion, LondresGoogle Scholar
  17. Bailey T, Gatrell AC (1995) Interactive spatial data analysis. Longman, HarlowGoogle Scholar
  18. Baller RD, Anselin L, Messner SF, Deane G, Hawkins DF (2001) Structural covariates of U.S. County homicide rates: incorporating spatial effects. Criminology 39:561–590CrossRefGoogle Scholar
  19. Baumont C, Ertur C, Le Gallo J (2002) Spatial convergence clubs and the European growth process, 1980–1995. In: Fingleton B (ed) European regional growth. Springer, BerlinGoogle Scholar
  20. Barro RJ, Sala-i-Martin X, (1991) Convergence across states and regions. Brooking Papers on Economic Activity 2:107–182CrossRefGoogle Scholar
  21. Barro RJ, Sala-i-Martin X (1995) Economic growth. McGraw-Hill, New YorkGoogle Scholar
  22. Belsley D, Kuh E, Welsch R (1980) Regression diagnostics: identifying influential data and sources of collinearity. Wiley, New YorkCrossRefGoogle Scholar
  23. Cheshire P, Carbonaro G (1995) Convergence-divergence in regional growth rates: an empty black box? In: Armstrong H, Vickerman R (eds) Convergence and divergence among European regions. Pion, LondonGoogle Scholar
  24. Cliff AD, Ord JK (1981) Spatial processes: models and applications. Pion, LondonGoogle Scholar
  25. Cook R (1977) Detection of influential observations in linear regression. Technometrics 19:15–18CrossRefGoogle Scholar
  26. Donald SG, Maddala GS (1993) Identifying outliers and influential observations in econometric models. In: Maddala GS, Rao CR, Vinod HD (eds) Handbook of statistics 11. Elsevier Science Publishers B.V. , North-HollandGoogle Scholar
  27. Dowrick S, Nguyen DT (1989) OECD comparative economic growth 1950–85: catch-up and convergence. American Economic Review 79:1010–1030Google Scholar
  28. Durlauf SN Johnson PA (1995), Multiple regimes and cross-country growth behaviour. Journal of Applied Econometrics 10:365–384CrossRefGoogle Scholar
  29. European Commission (1996) First report on economic and social cohesion. Official Publication Office, LuxembourgGoogle Scholar
  30. European Commission (1999) The European regions: sixth periodic report on the socioeconomic situation in the regions of the European Union. Official Publication Office, LuxembourgGoogle Scholar
  31. Eurostat (1999) Regio database, user’s guide, methods and nomenclatures. Official Publication Office, LuxembourgGoogle Scholar
  32. 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
  33. Fingleton B, Lewney R, Pinelli D (1997) Regional growth and convergence. The Single Market Review, subseries 6, Aggregate and Regional Impact, Vol. 1. Kogan Page, LondonGoogle Scholar
  34. Florax R, Rey S (1995) The impact of misspecified spatial interaction in linear regression models. In: Anselin L, Florax R (eds) New directions in spatial econometrics. Springer, BerlinGoogle Scholar
  35. Fujita M, Krugman PR, Venables A (1999) The spatial economy: cities, regions, and international trade. MIT Press, CambridgeGoogle Scholar
  36. Getis A (1995) Spatial filtering in a regression framework: examples using data on urban crime, regional inequality, and government expenditures. In: Anselin L, Florax R (eds) New directions in spatial econometrics. Springer, BerlinGoogle Scholar
  37. Getis A, Ord JK (1992) The analysis of spatial association by use of distance statistics. Geographical Analysis 24:189–206CrossRefGoogle Scholar
  38. Haining R (1990) Spatial data analysis in the social and environmental sciences. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  39. Hoaglin D, Welsch R (1978) The hat matrix in regression and ANOVA. The American Statistician 32:17–22Google Scholar
  40. King G (1997) A solution to the ecological inference problem: reconstructing individual behavior from aggregate data. Princeton University Press, PrincetonGoogle Scholar
  41. Krugman PR (1991) Geography and trade. Cambridge, MIT PressGoogle Scholar
  42. Le Gallo J (2001) Space-time analysis of GDP disparities among European regions: a Markov chains analysis. Working paper n°2001–06, LATEC, University of Burgundy, Dijon, FranceGoogle Scholar
  43. Le Gallo J (2002) Disparités géographiques et convergence des régions européennes: une approche par l’économétrie spatiale. Ph.D. Thesis. Université de Bourgogne, Dijon.Google Scholar
  44. Le Gallo J, Ertur C (2002) Exploratory Spatial Data Analysis of the distribution of regional per capita GDP in Europe, 1980–1995. Papers in Regional Science, forthcomingGoogle Scholar
  45. Le Gallo J, Ertur C, Baumont C (2002) Spatial econometric analysis of convergence across European regions, 1980–1995. In: Fingleton B (ed) European regional growth. Springer, BerlinGoogle Scholar
  46. LeSage JP (1999) The theory and practice of spatial econometrics. Unpublished manuscript available at: Google Scholar
  47. López-Bazo E, Vayá E, Mora A, Suriñach J (1999) Regional economic dynamics and convergence in the European union. Annals of Regional Science 33:343–370CrossRefGoogle Scholar
  48. Martin R (2001) EMU versus the regions? Regional convergence and divergence in Euroland. Journal of Economic Geography 1:51–80CrossRefGoogle Scholar
  49. Moreno R, Trehan B (1997) Location and growth of nations. Journal of Economic Growth 2:399–418CrossRefGoogle Scholar
  50. Neven D, Gouyette C (1995) Regional convergence in the European community. Journal of Common Market Studies 33:47–65CrossRefGoogle Scholar
  51. Openshaw S, Taylor P (1979) A million or so correlation coefficient: three experiments on the modifiable areal unit problem. In: Wrigley N (ed) Statistical applications in the spatial science, London, PionGoogle Scholar
  52. Ord JK, Getis A (1995) Local spatial autocorrelation statistics: distributional issues and an application. Geographical Analysis 27:286–305CrossRefGoogle Scholar
  53. Ord JK, Getis A (2001) Testing for local spatial autocorrelation in the presence of global autocorrelation. Journal of Regional Science 41:411–432CrossRefGoogle Scholar
  54. Pace RK, Barry R (1997) Quick computation of spatial autoregressive estimators. Geographical Analysis 29:232–246CrossRefGoogle Scholar
  55. Pereira J, Carreiras J, Perestrello de Vasconcelos M (1998) Exploratory data analysis of the spatial distribution of wildfires in Portugal, 1980–1989. Geographical Systems 5:355–390Google Scholar
  56. Pinkse J, Slade E (1998) Contracting in space: an application of spatial statistics to discretechoice models. Journal of Econometrics 85:125–154CrossRefGoogle Scholar
  57. Quah D (1996a) Empirics for economic growth and convergence. European Economic Review 40:1353–1375CrossRefGoogle Scholar
  58. Quah D (1996b) Regional convergence clusters across Europe. European Economic Review 40: 951–958CrossRefGoogle Scholar
  59. Rey S (2001) Spatial empirics for economic growth and convergence. Geographical Analysis 33:195–214CrossRefGoogle Scholar
  60. Rey S, Montouri B (1999) US regional income convergence: a spatial econometric perspective. Regional Studies 33:143–1564CrossRefGoogle Scholar
  61. Savin NE (1984) Multiple hypotheses testing. In: Griliches Z, Intriligator MD (eds) Handbook of Econometrics, volume II. Elsevier Science Publishers, North-HollandGoogle Scholar
  62. Upton GJG, Fingleton B (1985) Spatial data analysis by example. Wiley, New YorkGoogle Scholar
  63. Vanhoudt P, Matha T, Smith B (2000) How productive are capital investments in Europe. EIB Papers 5: 81–106Google Scholar
  64. Weisberg S (1985) Applied linear regression. Wiley, New YorkGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

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

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