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A spatial econometric approach to EU regional disparities between economic and geographical periphery

Author

Listed:
  • CRISTINA BRASILI

    (Dipartimento di Scienze Statistiche - Università di Bologna - Italy)

  • FRANCESCA BRUNO

    (Dipartimento di Scienze Statistiche - Università di Bologna - Italy)

  • ANNACHIARA SAGUATTI

    (Dipartimento di Scienze Statistiche - Università di Bologna - Italy)

Abstract

A conditional ß-convergence model and a distance-based weight matrix are used to analyse the economic convergence among European NUTS-2 regions over the period 1980-2006. A Spatial Autoregressive Model which identifies two spatial regimes and spatial dependence finds that the convergence process among EU regions is affected by polarization into two clusters defined both on a geographical and economic criterion, which converge at different rates towards different steady states. This result confirms the hypothesis that a methodology which uses spatial econometric techniques is needed to model spatial effects, and that otherwise the estimates are likely to be inefficient or even biased.

Suggested Citation

  • Cristina Brasili & Francesca Bruno & Annachiara Saguatti, 2012. "A spatial econometric approach to EU regional disparities between economic and geographical periphery," Statistica, Department of Statistics, University of Bologna, vol. 72(3), pages 299-316.
    • Handle: RePEc:bot:rivsta:v:72:y:2012:i:3:p:299-316
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    Cited by:

    1. Nicolas Péridy & Mohamed Hazem & Marc Brunetto, 2013. "Some new insights into real convergence in MENA countries’ regional areas: a spatial econometric analysis," Economics and Business Letters, Oviedo University Press, vol. 2(4), pages 150-160.
    2. Scotti, Francesco & Flori, Andrea & Pammolli, Fabio, 2022. "The economic impact of structural and Cohesion Funds across sectors: Immediate, medium-to-long term effects and spillovers," Economic Modelling, Elsevier, vol. 111(C).

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