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Economic growth in Brazil: a spatial filtering approach

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  • Túlio Cravo
  • Guilherme Resende

Abstract

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

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  • 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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    21. 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.
    22. 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.
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    Keywords

    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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