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Evaluating Multiple Spatial Dimensions of Economic Growth in Brazil Using Spatial Panel Data Models (1970 - 2000)

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  • Guilherme Mendes Resende
  • Alexandre Xavier Ywata de Carvalho
  • 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 the period 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 are dependent on the choice of spatial scale. First, club convergence hypothesis cannot be rejected suggesting there are differences in the convergence processes between the north and south in Brazil. Moreover, the positive average-years-of-schooling coefficient gets larger as more aggregate spatial scales are used. Transportation costs effect is positive and statistically significant to economic growth only at the state level. Population density coefficients show that higher populated areas are harmful to economic growth demonstrating somehow that congestion effects are operating at the MCA, micro-regional and meso-regional spatial scales, but their magnitudes vary across the geographic scales. Finally, the values of spatial spillovers coefficients also vary according to the spatial scale under analysis. In general, such coefficients are statistically significant at the MCA, micro-regional and meso-regional levels; but, at state level those coefficients are no longer statistically significant suggesting that spatial spillovers are bounded in space.

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Bibliographic Info

Paper provided by Instituto de Pesquisa Econômica Aplicada - IPEA in its series Discussion Papers with number 1830a.

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Length: 54 pages
Date of creation: Apr 2013
Date of revision:
Handle: RePEc:ipe:ipetds:1830a

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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  1. Baltagi, Badi H. & Pirotte, Alain, 2010. "Panel data inference under spatial dependence," Economic Modelling, Elsevier, vol. 27(6), pages 1368-1381, November.
  2. Daniel P. McMillen, 2010. "Issues In Spatial Data Analysis," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 119-141.
  3. repec:chb:bcchwp:03 is not listed on IDEAS
  4. T�lio 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.
  5. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
  6. Andrade, Eduardo. & Laurini, Márcio & Pedro L. Valls Pereira & Madalozzo, Regina., 2003. "Convergence Clubs Among Brazilian Municipalities," Insper Working Papers wpe_36, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
  7. Kapoor, Mudit & Kelejian, Harry H. & Prucha, Ingmar R., 2007. "Panel data models with spatially correlated error components," Journal of Econometrics, Elsevier, vol. 140(1), pages 97-130, September.
  8. Briant, Anthony & Combes, Pierre-Philippe & Lafourcade, Miren, 2008. "Dots to Boxes: Do the Size and Shape of Spatial Units Jeopardize Economic Geography Estimations?," CEPR Discussion Papers 6928, C.E.P.R. Discussion Papers.
  9. Steve Gibbons & Henry G. Overman, 2010. "Mostly Pointless Spatial Econometrics?," SERC Discussion Papers 0061, Spatial Economics Research Centre, LSE.
  10. Jan Mutl & Michael Pfaffermayr, 2011. "The Hausman test in a Cliff and Ord panel model," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 48-76, February.
  11. Rodrik, Dani & Alesina, Alberto, 1994. "Distributive Politics and Economic Growth," Scholarly Articles 4551798, Harvard University Department of Economics.
  12. Marcio Laurini & Eduardo Andrade & Pedro L. Valls Pereira, 2005. "Income convergence clubs for Brazilian Municipalities: a non-parametric analysis," Applied Economics, Taylor & Francis Journals, vol. 37(18), pages 2099-2118.
  13. Afonso Ferreira, 2000. "Convergence in Brazil: recent trends and long-run prospects," Applied Economics, Taylor & Francis Journals, vol. 32(4), pages 479-489.
  14. Brueckner, Jan K., 1998. "Testing for Strategic Interaction Among Local Governments: The Case of Growth Controls," Journal of Urban Economics, Elsevier, vol. 44(3), pages 438-467, November.
  15. Bloom, David E. & Canning, David & Sevilla, Jaypee, 2004. "The Effect of Health on Economic Growth: A Production Function Approach," World Development, Elsevier, vol. 32(1), pages 1-13, January.
  16. J. Elhorst, 2012. "Dynamic spatial panels: models, methods, and inferences," Journal of Geographical Systems, Springer, vol. 14(1), pages 5-28, January.
  17. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," NBER Working Papers 3541, National Bureau of Economic Research, Inc.
  18. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-37, October.
  19. Guilherme Mendes Resende, 2011. "Multiple dimensions of regional economic growth: The Brazilian case, 1991−2000," Papers in Regional Science, Wiley Blackwell, vol. 90(3), pages 629-662, 08.
  20. Somik V. Lall & Zmarak Shalizi, 2003. "Location and Growth in the Brazilian Northeast," Journal of Regional Science, Wiley Blackwell, vol. 43(4), pages 663-681.
  21. Giovanni Millo & Gianfranco Piras, . "splm: Spatial Panel Data Models in R," Journal of Statistical Software, American Statistical Association, vol. 47(i01).
  22. Enrique López-Bazo & Esther Vayá & Manuel Artís, 2004. "Regional Externalities And Growth: Evidence From European Regions," Journal of Regional Science, Wiley Blackwell, vol. 44(1), pages 43-73.
  23. Robert J. Barro & Xavier Sala-i-Martin, 2003. "Economic Growth, 2nd Edition," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262025531.
  24. Edward L. Glaeser & Bruce I. Sacerdote & Jose A. Scheinkman, 2002. "The Social Multiplier," NBER Working Papers 9153, National Bureau of Economic Research, Inc.
  25. ERTUR, Cem & KOCH, Wilfried, 2005. "Growth, Technological Interdependence and Spatial Externalities: Theory and Evidence," LEG - Document de travail - Economie 2005-03, LEG, Laboratoire d'Economie et de Gestion, CNRS, Université de Bourgogne.
  26. Johnson, Paul & Durlauf, Steven N & Temple, Johnathan R. W., 2004. "Growth Econometrics," Vassar College Department of Economics Working Paper Series 61, Vassar College Department of Economics.
    • Durlauf, Steven N. & Johnson, Paul A. & Temple, Jonathan R.W., 2005. "Growth Econometrics," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 8, pages 555-677 Elsevier.
  27. Carlo Menon, 2012. "The bright side of MAUP: Defining new measures of industrial agglomeration," Papers in Regional Science, Wiley Blackwell, vol. 91(1), pages 3-28, 03.
  28. Jeanty, P. Wilner & Partridge, Mark & Irwin, Elena, 2010. "Estimation of a spatial simultaneous equation model of population migration and housing price dynamics," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 343-352, September.
  29. Badi H. Baltagi & Seuck Heun Song & Won Koh, 2002. "Testing Panel Data Regression Models with Spatial Error Correlation," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B6-4, International Conferences on Panel Data.
  30. Manfred Fischer, 2011. "A spatial Mankiw–Romer–Weil model: theory and evidence," The Annals of Regional Science, Springer, vol. 47(2), pages 419-436, October.
  31. Gérard, Marcel & Jayet, Hubert & Paty, Sonia, 2010. "Tax interactions among Belgian municipalities: Do interregional differences matter?," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 336-342, September.
  32. Robert J. Barro & Rachel McCleary, 2003. "Religion and Economic Growth," NBER Working Papers 9682, National Bureau of Economic Research, Inc.
  33. Elhorst, J. Paul, 2010. "Dynamic panels with endogenous interaction effects when T is small," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 272-282, September.
  34. Islam, Nazrul, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, MIT Press, vol. 110(4), pages 1127-70, November.
  35. Túlio Cravo & Guilherme Resende, 2013. "Economic growth in Brazil: a spatial filtering approach," The Annals of Regional Science, Springer, vol. 50(2), pages 555-575, April.
  36. Caselli, Francesco & Esquivel, Gerardo & Lefort, Fernando, 1996. " Reopening the Convergence Debate: A New Look at Cross-Country Growth Empirics," Journal of Economic Growth, Springer, vol. 1(3), pages 363-89, September.
  37. James P. LeSage & R. Kelley Pace, 2008. "Spatial Econometric Modeling Of Origin-Destination Flows," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 941-967.
  38. Sergio Rey & Brett Montouri, 1999. "US Regional Income Convergence: A Spatial Econometric Perspective," Regional Studies, Taylor & Francis Journals, vol. 33(2), pages 143-156.
  39. Bernard Fingleton, 2011. "The empirical performance of the NEG with reference to small areas," Journal of Economic Geography, Oxford University Press, vol. 11(2), pages 267-279, March.
  40. BEHRENS, Kristian & THISSE, Jacques-François, . "Regional economics: a new economic geography perspective," CORE Discussion Papers RP -1946, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  41. McDonald, Scott & Roberts, Jennifer, 2002. "Growth and multiple forms of human capital in an augmented Solow model: a panel data investigation," Economics Letters, Elsevier, vol. 74(2), pages 271-276, January.
  42. Lee, Lung-fei & Yu, Jihai, 2010. "Some recent developments in spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 255-271, September.
  43. Sascha Sardadvar, 2012. "Growth and disparities in Europe: Insights from a spatial growth model," Papers in Regional Science, Wiley Blackwell, vol. 91(2), pages 257-274, 06.
  44. Daisaku Yamamoto, 2008. "Scales of regional income disparities in the USA, 1955-2003," Journal of Economic Geography, Oxford University Press, vol. 8(1), pages 79-103, January.
  45. Nazrul Islam, 2003. "What have We Learnt from the Convergence Debate?," Journal of Economic Surveys, Wiley Blackwell, vol. 17(3), pages 309-362, 07.
  46. Mark D. Partridge & Marlon Boarnet & Steven Brakman & Gianmarco Ottaviano, 2012. "Introduction: Whither Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 167-171, 05.
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Cited by:
  1. 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.

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