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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.

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
    DOI: 10.1111/j.1435-5957.2006.00099.x
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    Cited by:

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    2. Jose Claudio Pires & Tulio Cravo & Simon Lodato & Caio Piza, 2013. "Industrial Clusters and Economic Performance in Brazil," OVE Working Papers 0513, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    3. 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.
    4. 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," Regional Studies, Taylor & Francis Journals, vol. 50(10), pages 1688-1701, October.
    5. Túlio Cravo, 2011. "Are Small Firms more cyclically Sensitive than Large Ones? National, Regional and Sectoral Evidence from Brazil," ERSA conference papers ersa10p507, European Regional Science Association.
    6. 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.
    7. Cravo, Túlio A., 2011. "Are small employers more cyclically sensitive? Evidence from Brazil," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 754-769.
    8. Túlio Cravo, 2011. "Regional Economic Growth and SMEs in Brazil: a Spatial Analysis (Submission for the Refereed Y-session Papers)," ERSA conference papers ersa10p508, European Regional Science Association.
    9. Patrícia Estanislau & Jefferson Staduto & Jose Luis Parré, 2013. "Wage Convergence of Agricultural Workers of Brazil: 1992 - 2009," ERSA conference papers ersa13p611, European Regional Science Association.
    10. 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.
    11. Arthur Grimes & Valente J Matlaba & Jacques Poot, 2017. "Spatial impacts of the creation of Brasília: A natural experiment," Environment and Planning A, , vol. 49(4), pages 784-800, April.
    12. 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].
    13. 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.
    14. Túlio A. Cravo, 2010. "SMEs and economic growth in the Brazilian micro‐regions," Papers in Regional Science, Wiley Blackwell, vol. 89(4), pages 711-734, November.
    15. Baerlocher, Diogo & Parente, Stephen L. & Rios-Neto, Eduardo, 2019. "Economic effects of demographic dividend in Brazilian regions," The Journal of the Economics of Ageing, Elsevier, vol. 14(C).
    16. 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.
    17. Vítor João Pereira Domingues Martinho, 2021. "Impact of Covid‐19 on the convergence of GDP per capita in OECD countries," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(S1), pages 55-72, November.
    18. 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).

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    More about this item

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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