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Spatial Clubs in European Regions

Author

Listed:
  • Davide Fiaschi
  • Lisa Gianmoena
  • Angela Parenti
Abstract
This paper finds evidence of spatial clubs in a sample of 254 European regions in the period 1991-2008. A dynamic extension of the Moran scatter plot, consisting in a non parametric estimate of the joint dynamics of GDP per worker and its spatial lag, suggests the emergence of three spatial clubs: one populated by regions belonging to the former Eastern Bloc countries, one by regions of PIGS countries (Portugal, Italy, Greece and Spain) and the last one by regions of other EU countries (notably Germany, France, UK and Northern Europe countries). In the long run the convergence process is evident only to two spatial clubs with Eastern regions converging to PIGS regions. Spatial spillovers are present across European regions, and their contribution to the emergence of spatial clubs is crucial. On the contrary, cross-region heterogeneity in human capital has a very limited impact on the distribution of GDP per worker. Finally, unobserved heterogeneity explains a substantial share of inequality and polarization.

Suggested Citation

  • Davide Fiaschi & Lisa Gianmoena & Angela Parenti, 2015. "Spatial Clubs in European Regions," Discussion Papers 2015/196, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    • Handle: RePEc:pie:dsedps:2015/196
    Note: ISSN 2039-1854
    as

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    File URL: https://www.ec.unipi.it/documents/Ricerca/papers/2015-196.pdf
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    References listed on IDEAS

    as
    1. Cem Ertur & Julie Le Gallo & Catherine Baumont, 2006. "The European Regional Convergence Process, 1980-1995: Do Spatial Regimes and Spatial Dependence Matter?," International Regional Science Review, , vol. 29(1), pages 3-34, January.
    2. Gordon Anderson & Oliver Linton & Teng Leo, 2012. "A polarization-cohesion perspective on cross-country convergence," Journal of Economic Growth, Springer, vol. 17(1), pages 49-69, March.
    3. Leisch, Friedrich, 2006. "A toolbox for K-centroids cluster analysis," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 526-544, November.
    4. Davide Fiaschi & Marzia Romanelli, 2009. "Nonlinear dynamics in welfare and the evolution of world inequality," Temi di discussione (Economic working papers) 724, Bank of Italy, Economic Research and International Relations Area.
    5. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 407-437.
    6. Davide FIASCHI & Lisa GIANMOENA & Angela PARENTI, 2014. "Local Directional Moran Scatter Plot - Ldms," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 40, pages 97-112.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Moran scatter plot; spatial panels; spatial spillovers; bipolarization; core-periphery pattern.;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

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