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Distribution of regional income and regional funds in Europe 1989–1999: An exploratory spatial data analysis

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  • Sandy Dall’erba

Abstract

The efforts of the European Commission to reduce regional inequalities over its territory continues to attract the attention of researchers. The purpose of this paper is to perform an exploratory investigation of the relationship between the spatial distribution of regional income and of regional development funds among 145 European regions over 1989-1999. Using a set of tools of spatial statistics, we first detect the presence of global and local spatial autocorrelation in the distribution of regional per capita incomes, traducing that rich (poor) regions tend to be clustered close to other rich (poor) regions, and in the distribution of regional growth rate and regional funds. Second, the results of LISA statistics conclude to the presence of spatial heterogeneity in the form of two spatial clusters of rich and poor regions over the decade, highlighting the persistence of a significant core-periphery pattern among European regions. Finally, an exploratory analysis reveals a negative correlation between growth and initial income, that tends to indicate beta-convergence. A positive relationship between regional growth and structural funds is identified among the significant results as well. Only Andalucia, Galicia and Sterea Ellada show atypical linkages. These results suggest that further research should include spatial effects and the distribution of regional funds in the spatial econometric estimation of regional convergence in Europe.
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  • Sandy Dall’erba, 2005. "Distribution of regional income and regional funds in Europe 1989–1999: An exploratory spatial data analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 39(1), pages 121-148, March.
    • Handle: RePEc:spr:anresc:v:39:y:2005:i:1:p:121-148
    DOI: 10.1007/s00168-004-0199-4
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    Cited by:

    1. Salima BOUAYAD AGHA & Nadine TURPIN & Lionel VEDRINE, 2013. "Au-Delà De La Moyenne : Les Effets Par Quantile De La Politique De Cohésion De L’Union Européenne," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 38, pages 27-48.
    2. Rodríguez-Benavides, Domingo & Mendoza-González, Miguel Ángel & Venegas-Martínez, Francisco, 2014. "¿Realmente existe convergencia regional en México? Un modelo no lineal de datos panel TAR [Is There Really Regional Convergence in Mexico? A Non-linear Panel-Data TAR Model]," MPRA Paper 56874, University Library of Munich, Germany.
    3. Arne Melchior, 2009. "East-West Integration and the Economic Geography of Europe," CASE Network Studies and Analyses 0379, CASE-Center for Social and Economic Research.
    4. Pontarollo, Nicola & Serpieri, Carolina, 2020. "A composite policy tool to measure territorial resilience capacity," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    5. Gouveia, M.C. & Henriques, C.O. & Costa, P., 2021. "Evaluating the efficiency of structural funds: An application in the competitiveness of SMEs across different EU beneficiary regions," Omega, Elsevier, vol. 101(C).
    6. Mohl, P. & Hagen, T., 2010. "Do EU structural funds promote regional growth? New evidence from various panel data approaches," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 353-365, September.
    7. Vassilis Monastiriotis, 2007. "Patterns of spatial association and their persistence across socio-economic indicators: the case of the Greek regions," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 05, Hellenic Observatory, LSE.

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    JEL classification:

    • R0 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General

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