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Spatial effects and convergence theory in the Portuguese situation

  • Martinho, Vítor João Pereira Domingues

This study analyses, through cross-section estimation methods, the influence of spatial effects and human capital in the conditional productivity convergence (product per worker) in the economic sectors of NUTs III of mainland Portugal between 1995 and 2002. To analyse the data, Moran’s I statistics is considered, and it is stated that productivity is subject to positive spatial autocorrelation (productivity develops in a similar manner to productivity in neighbouring regions), above all, in agriculture and services. Industry and the total of all sectors present indications that they are subject to positive spatial autocorrelation in productivity. On the other hand, it is stated that the indications of convergence, specifically bearing in mind the concept of absolute convergence, are greater in industry. Taking into account the estimation results, it is stated once again that the indications of convergence are greater in industry, and it can be seen that spatial spillover effects, spatial lag (capturing spatial autocorrelation through a spatially redundant dependent variable) and spatial error (capturing spatial autocorrelation through a spatially redundant error term), as well as human capital, condition the convergence of productivity in the various economic sectors of Portuguese region in the period under consideration.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 32185.

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Date of creation: 2011
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Handle: RePEc:pra:mprapa:32185
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  1. Giuseppe Arbia & Gianfranco Piras, 2004. "Convergence in per-capita GDP across European regions using panel data models extended to spatial autocorrelation effects," ERSA conference papers ersa04p524, European Regional Science Association.
  2. Hanson, G.H., 1999. "`Market Potential, Increasing Returns, and Geographic Concentration," Working Papers 439, Research Seminar in International Economics, University of Michigan.
  3. Sala-i-Martin, Xavier X., 1996. "Regional cohesion: Evidence and theories of regional growth and convergence," European Economic Review, Elsevier, vol. 40(6), pages 1325-1352, June.
  4. Chatterji, Monojit, 1992. "Convergence Clubs and Endogenous Growth," Oxford Review of Economic Policy, Oxford University Press, vol. 8(4), pages 57-69, Winter.
  5. Raymond J.G.M. Florax & Hendrik Folmer & Sergio J. Rey, 2002. "Specification Searches in Spatial Econometrics: The Relevance of Hendry's Methodology," Urban/Regional 0202001, EconWPA.
  6. Martinho, Vítor João Pereira Domingues, 2011. "Spatial effects and convergence theory in the Portuguese situation," MPRA Paper 32185, University Library of Munich, Germany.
  7. Krister Sandberg, 2004. "Growth of GRP in Chinese Provinces. A Test for Spatial Spillovers," ERSA conference papers ersa04p596, European Regional Science Association.
  8. Maria Abreu & Henride Groot & Raymond Florax, 2004. "Spatial Patterns of Technology Diffusion: An Empirical Analysis Using TFP," ERSA conference papers ersa04p425, European Regional Science Association.
  9. Barro, Robert J & Sala-i-Martin, Xavier, 1992. "Convergence," Journal of Political Economy, University of Chicago Press, vol. 100(2), pages 223-51, April.
  10. Robert J. Barro, 1991. "Economic Growth in a Cross Section of Countries," The Quarterly Journal of Economics, Oxford University Press, vol. 106(2), pages 407-443.
  11. Nazrul Islam, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, Oxford University Press, vol. 110(4), pages 1127-1170.
  12. Johan Lundberg, 2004. "Using Spatial Econometrics to Analyze Local Growth in Sweden," ERSA conference papers ersa04p25, European Regional Science Association.
  13. Robert J. Barro & Xavier Sala-i-Martin, 1991. "Convergence across States and Regions," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 22(1), pages 107-182.
  14. Bernard Fingleton, 2001. "Equilibrium and Economic Growth: Spatial Econometric Models and Simulations," Journal of Regional Science, Wiley Blackwell, vol. 41(1), pages 117-147.
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