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Economic growth in Brazil: a spatial filtering approach


  • Túlio Cravo


  • Guilherme Resende



This paper examines the importance of space to per capita GDP growth in Brazil for the period 1980–2004 at the micro-regional level. The role of space is investigated by applying a spatial filter that eliminates the spatial dependence of the data and allows comparison with the original data. The conditioning variables become insignificant after removing spatial dependence. This suggests that the statistical significance of the growth determinants is intrinsically linked to geographical location and indicates the importance of space to regional growth in Brazil. Moreover, these results show that the convergence process is different across spatial regimes after removing this dependence. Copyright Springer-Verlag 2013

Suggested Citation

  • Túlio Cravo & Guilherme Resende, 2013. "Economic growth in Brazil: a spatial filtering approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(2), pages 555-575, April.
  • Handle: RePEc:spr:anresc:v:50:y:2013:i:2:p:555-575
    DOI: 10.1007/s00168-012-0504-6

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    Cited by:

    1. Guilherme Mendes Resende & Alexandre Xavier Ywata de Carvalho & Patrícia Alessandra Morita Sakowski, 2013. "Evaluating Multiple Spatial Dimensions of Economic Growth in Brazil Using Spatial Panel Data Models (1970 - 2000)," Discussion Papers 1830a, Instituto de Pesquisa Econômica Aplicada - IPEA.
    2. Bologna, Jamie, 2016. "The effect of informal employment and corruption on income levels in Brazil," Journal of Comparative Economics, Elsevier, vol. 44(3), pages 657-695.
    3. Jamie Bologna, 2014. "The Effect of Informal Employment and Corruption on Income Levels in Brazil," Working Papers 14-26, Department of Economics, West Virginia University.
    4. Guilherme Mendes Resende & Alexandre Xavier Ywata Carvalho & Patrícia Alessandra Morita Sakowski & Túlio Antonio Cravo, 2016. "Evaluating multiple spatial dimensions of economic growth in Brazil using spatial panel data models," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 1-31, January.
    5. Jinlong Gao & Yehua Dennis Wei & Wen Chen & Komali Yenneti, 2015. "Urban Land Expansion and Structural Change in the Yangtze River Delta, China," Sustainability, MDPI, Open Access Journal, vol. 7(8), pages 1-27, July.
    6. 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.
    7. Han Li & Ye Hua Dennis Wei & Zhiji Huang, 2014. "Urban Land Expansion and Spatial Dynamics in Globalizing Shanghai," Sustainability, MDPI, Open Access Journal, vol. 6(12), pages 1-20, December.
    8. GRIES, Thomas & PALNAU, Irene, 2016. "Distress Beyond Poverty: Spatial Patterns And Geographic Aspects Of Vulnerability In Brazil," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 16(2), pages 53-70.
    9. repec:lrk:eeaart:35_2_6 is not listed on IDEAS

    More about this item


    C23; R11;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes


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