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Evaluating Multiple Spatial Dimensionsof Economic Growth In Brazil Using Spatial Panel Data Models, 1970-2000

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  • ALEXANDRE XAVIER YWATA DE CARVALHO
  • GUILHERME MENDES RESENDE
  • PATRÍCIA ALESSANDRA MORITA SAKOWSKI

Abstract

O objetivo deste estudo consiste em avaliar os resultados de estimações de crescimento econômico regional em múltiplas escalas espaciais, utilizando modelos de painel espacial. As escalas espaciais examinadas são áreas mínimas comparáveis, microrregiões, mesorregiões e estados no período entre 1970 e 2000. Modelos alternativos de painel espacial com efeitos fixos foram estimados sistematicamente nestas escalas espaciais para demonstrar que os coeficientes estimados variam de acordo com a escala utilizada. Os resultados mostram que as conclusões obtidas a partir de regressões de crescimento dependem da escolha da escala espacial. Primeiramente, a hipótese de convergência de clube não pode ser rejeitada, sugerindo haver diferenças nos processos de convergência entre o norte e o sul do Brasil. Além disso, quanto mais agregada for a escala espacial utilizada, maior será o coeficiente positivo da média de anos de escolaridade. O efeito de custos de transporte é positivo e estatisticamente significante para o crescimento econômico apenas no nível do estado. Os coeficientes da densidade populacional mostram que áreas mais densamente povoadas são prejudiciais para o crescimento econômico, sugerindo efeitos de congestionamento no nível de áreas mínimas comparáveis (AMCs), microrregiões e mesorregiões, mas a magnitude destes coeficientes varia de acordo com a escala geográfica. Finalmente, os coeficientes de transbordamento espacial também variam conforme a escala espacial sob análise. Em geral, estes coeficientes são estatisticamente significantes nos níveis de AMC, microrregião e mesorregião; mas, no nível estadual, deixam de ser estatisticamente significantes, sugerindo que transbordamentos espaciais são limitados no espaço. The goal of this paper is to evaluate the results of regional economic growth estimates at multiple spatial scales using spatial panel data models. The spatial scales examined are minimum comparable areas, micro-regions, meso-regions and states over th
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  • Alexandre Xavier Ywata De Carvalho & Guilherme Mendes Resende & Patrícia Alessandra Morita Sakowski, 2014. "Evaluating Multiple Spatial Dimensionsof Economic Growth In Brazil Using Spatial Panel Data Models, 1970-2000," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 179, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    • Handle: RePEc:anp:en2012:179
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    Cited by:

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    2. Victor Hugo De Oliveira & João Mário Santos de França & Francisco Mário Viana Martins, 2020. "The influence of local development on the impact of natural disasters in Northeast Brazil: The case of droughts and floods in the state of Ceará," Papers in Regional Science, Wiley Blackwell, vol. 99(4), pages 1019-1043, August.
    3. Guilherme Mendes Resende & Tulio A. Cravo, 2014. "What about regions in regional science? A convergence exercise using different geographic scales of European Union," Economics Bulletin, AccessEcon, vol. 34(3), pages 1381-1395.
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    5. Yuzhakov, Vladimir (Южаков, Владимир) & Dobrolyubova, Elena (Добролюбова, Елена) & Pokida, Andrey (Покида, Андрей) & Zybunovskaya, Natalia (Зыбуновская, Наталья), 2018. "Effectiveness of Control and Supervision Activities Through the Eyes of Business [Результативность Контрольно-Надзорной Деятельности Глазами Бизнеса]," Working Papers 041808, Russian Presidential Academy of National Economy and Public Administration.
    6. Rubiane Daniele Cardoso Almeida & Philipp Ehrl & Tito Belchior Silva Moreira, 2021. "Social and Economic Convergence Across Brazilian States Between 1990 and 2010," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(1), pages 225-246, August.
    7. Guilherme Resende & Tulio Cravo, 2013. "What about regions in regional science? An exercise of convergence using different geographic scales of European Union," ERSA conference papers ersa13p772, European Regional Science Association.
    8. Sascha Sardadvar, 2013. "Does the neoclassical growth model predict interregional convergence? On the impact of free factor movement and the implications for the European Union," Economics and Business Letters, Oviedo University Press, vol. 2(4), pages 161-168.

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