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Location and regional income disparity dynamics: The Brazilian case

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  • Raul Silveira-Neto
  • Carlos R. Azzoni

Abstract

In this note we provide evidence on the importance of location for the growth of per capita income of Brazilian states over the period 1985-2001. The study presents strong evidence of spatial dependence, and that regional inequality reduction occurred simultaneously with increasing spatial autocorrelation. The analysis of local indicators of spatial association confirmed that conclusion, showing the existence of two geographical clusters, one of low income states in the Northeast and North regions, and another of rich states in the Southeast and South regions. The low value for the convergence coefficient, in conjunction with the strong influence of shocks in the residuals, indicate the existence of a very sensible dynamic pattern of convergence across Brazilian states, which helps explaining the well documented persistence in regional income disparities in Brazil. After conditioning on other important variables that could affect growth, however, spatial dependence disappears. We have thus identified two potential channels through which the strong spatial dependence in the process of convergence of per capita income of Brazilian states occurs. Copyright (c) 2006 the author(s). Journal compilation (c) 2006 RSAI.

Suggested Citation

  • Raul Silveira-Neto & Carlos R. Azzoni, 2006. "Location and regional income disparity dynamics: The Brazilian case," Papers in Regional Science, Wiley Blackwell, vol. 85(4), pages 599-613, November.
  • Handle: RePEc:bla:presci:v:85:y:2006:i:4:p:599-613
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    2. Alberto F. Ades & Edward L. Glaeser, 1994. "Evidence on Growth, Increasing Returns and the Extent of the Market," NBER Working Papers 4714, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Jiangang Peng & Nicolaas Groenewold & Jing He & Zhangfei Li & Yu Yi, 2008. "Regional Finance and Regional Disparities in China," Economics Discussion / Working Papers 08-02, The University of Western Australia, Department of Economics.
    2. Ricardo Carvalho De Andrade Lima & Raul Da Mota Silveira Neto, 2016. "Physical And Human Capital And Brazilian Regional Growth: A Spatial Econometric Approach For The Period 1970-2010," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 164, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    3. Valente J. Matlaba & Mark Holmes & Philip McCann & Jacques Poot, 2012. "Agglomeration Externalities and 1981-2006 Regional Growth in Brazil," Working Papers in Economics 12/07, University of Waikato.
    4. Lessmann, Christian & Seidel, André, 2017. "Regional inequality, convergence, and its determinants – A view from outer space," European Economic Review, Elsevier, vol. 92(C), pages 110-132.
    5. Nicolino Trompieri Neto & Ivan Castelar & Fabrício Cameiro Linhares, 2008. "Convergência de Renda dos Estados Brasileiros: Uma Abordagem de Painel Dinâmico com Efeito Threshold," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807212130050, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    6. Cravo, Túlio A., 2011. "Are small employers more cyclically sensitive? Evidence from Brazil," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 754-769.
    7. 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.
    8. Habibullah, M.S. & Dayang-Afizzah, A.M., 2008. "Bordering neighbours: Testing for border effect on Malaysia's northern states and Southern Thailand," MPRA Paper 12103, University Library of Munich, Germany.

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