Evaluating multiple spatial dimensions of economic growth in Brazil using spatial panel data models

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• 作者：Guilherme Mendes Resende…
• 关键词：C23 ; O18 ; R11
• 刊名：The Annals of Regional Science
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：56
• 期：1
• 页码：1-31
• 全文大小：2,859 KB
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• 作者单位：Guilherme Mendes Resende (1)
  Alexandre Xavier Ywata de Carvalho (1)
  Patrícia Alessandra Morita Sakowski (1)
  Túlio Antonio Cravo (2)
  
  1. Institute for Applied Economic Research (IPEA)/Government of Brazil, Brasília, 70076-900, Brazil
  2. United Nations University, World Institute for Development Economics Research (UNU-WIDER), Helsinki, Finland
  
• 刊物类别：Business and Economics
• 刊物主题：Economics
  Regional Science
  Landscape, Regional and Urban Planning
  Microeconomics
  Environmental Economics
  Geography
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1432-0592

文摘

The goal of this paper is to evaluate the results of regional economic growth model estimations at multiple spatial scales using spatial panel data models. The spatial scales examined are minimum comparable areas, microregions, mesoregions and states between 1970 and 2000. Alternative spatial panel data models with fixed effects were systematically estimated across those spatial scales to demonstrate that the estimated coefficients change with the scale level. The results show that the conclusions obtained from growth regressions depend on the choice of spatial scale. First, the values of spatial spillover coefficients vary according to the spatial scale under analysis. In general, such coefficients are statistically significant at the MCA, microregional and mesoregional levels, however, at state level those coefficients are no longer statistically significant, suggesting that spatial spillovers are bounded in space. Moreover, the positive average-years-of-schooling direct effect coefficient increases as more aggregate spatial scales are used. Population density coefficients show that higher populated areas are harmful to economic growth, indicating that congestion effects are operating in all spatial scales, but their magnitudes vary across geographic scales. Finally, the club convergence hypothesis cannot be rejected suggesting that there are differences in the convergence processes between the north and south in Brazil. Furthermore, the paper discusses the potential theoretical reasons for different results found across estimations at different spatial scales. JEL Classification C23 O18 R11