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The evolution of real disparities in Portugal among the NUTS III regions. An empirical analysis based on the convergence approach

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  • Elias Soukiazis

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  • Micaela Antunes

Abstract

The aim of this paper is to explain regional convergence in Portugal, at Nuts III level, in terms of per capita income and productivity. In doing so, we employ an alternative estimation approach based on panel data analysis that allows for individual differences across regions, avoiding with this way the omitted variable bias occurred in single cross-section regressions. The known concepts of absolute and conditional convergence are tested between the 30 Portuguese regions, as well as, the importance of some conditioning structural factors related to resource allocation and demand conditions. Our evidence shows that convergence among the 30 regions in Portugal is rather conditional than absolute, both, in terms of per capita income and productivity. On the other hand, labour shares in the main economic sectors as measures of resource reallocation are important in explaining convergence in per capita income and productivity. Output growth, reflecting demand conditions and labour composition by sectors are shown to be relevant conditioning factors in explaining the convergence process in productivity and controlling for differences in regional structures. Our evidence shows a more significant shift of labour from the primary to the tertiary sector and when this element is introduced into the convergence equations, convergence is shown to be higher. Keywords: absolute and conditional convergence, per capita income, productivity, labour shares, panel regressions.

Suggested Citation

  • Elias Soukiazis & Micaela Antunes, 2004. "The evolution of real disparities in Portugal among the NUTS III regions. An empirical analysis based on the convergence approach," ERSA conference papers ersa04p54, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa04p54
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    1. Aki Kangasharju, 1998. "beta convergence in Finland: regional differences in speed of convergence," Applied Economics, Taylor & Francis Journals, vol. 30(5), pages 679-687.
    2. Sala-i-Martin, Xavier, 1994. "Cross-sectional regressions and the empirics of economic growth," European Economic Review, Elsevier, vol. 38(3-4), pages 739-747, April.
    3. Nazrul Islam, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, Oxford University Press, vol. 110(4), pages 1127-1170.
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    Cited by:

    1. Gertrudes Saúde Guerreiro, 2012. "Regional Income Distribution in Portugal," CEFAGE-UE Working Papers 2012_06, University of Evora, CEFAGE-UE (Portugal).
    2. Túlio A. Cravo & Guilherme Mendes Resende, 2015. "The Brazilian regional development funds and economic growth: A spatial panel approach," WIDER Working Paper Series wp-2015-118, World Institute for Development Economic Research (UNU-WIDER).
    3. Mindaugas Butkus & Diana Cibulskiene & Alma Maciulyte-Sniukiene & Kristina Matuzeviciute, 2018. "What Is the Evolution of Convergence in the EU? Decomposing EU Disparities up to NUTS 3 Level," Sustainability, MDPI, Open Access Journal, vol. 10(5), pages 1-37, May.
    4. Guilherme Resende & Tulio Cravo & Alexandre Carvalho, 2014. "The Impact of Brazilian Regional Development Funds on Regional Economic Growth: A spatial panel approach," ERSA conference papers ersa14p123, European Regional Science Association.
    5. E. V. Antonov, 2020. "Territorial Concentration of the Economy and Population in European Union Countries and Russia and the Role of Global Cities," Regional Research of Russia, Springer, vol. 10(3), pages 360-372, July.

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