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Economic Growth and Infrastructure in Brazil: A Spatial Multilevel Approach

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  • Eduardo Almeida
  • Pablo Guimarães

Abstract

The relation between infrastructure and economic growth has been largely investigated in the literature, but the empirical evidence found has proven to be controversial. This paper aims to empirically analyze the impact of infrastructure stocks on economic growth. In spite of there being theoretical justification for taking infrastructure into account in studies on economic growth and equity, there is a difficulty in obtaining infrastructure data at a more disaggregated regional level. Frequently, the decisions on infrastructure investment are taken in the sphere of the federal government or of the state governments. Due to this, the data are usually available only at the state level. In view of this, there are two alternatives for doing an analysis of income convergence for Brazil. One alternative would be to do the income convergence analysis only at the state level. However, the sample size would be small (n=27), making it not reach the asymptotic properties of the estimators, among other limitations. The other alternative would be to perform the analysis of income convergence only at the municipal level. However, as much information on infrastructure is available at the state level, the researcher would take his chance of omitting variables of infrastructure relevant to analysis, creating bias and inconsistency to the estimator. In order to circumvent this problem, we propose a spatial multilevel model with two geographical levels, controlling for fixed effects and spatial dependence. The multilevel approach is justified when attempting to reconcile this hierarchical structure of necessary data in order to perform the analysis of conditional income convergence, including infrastructure as an important determinant. A model of conditional convergence is specified at the municipal level, whereas some first level coefficients are specified as being dependent on infrastructure stocks at the state level. The results revealed that road infrastructure stock is a relevant conditional variable in the convergence equation. More importantly, the control for fixed effects and spatial autocorrelation largely influences the estimated value of the beta. Based on our estimate of the beta, it is possible to point out the existence of an overestimation of this convergence parameter in the Brazilian literature on this research topic.

Suggested Citation

  • Eduardo Almeida & Pablo Guimarães, 2014. "Economic Growth and Infrastructure in Brazil: A Spatial Multilevel Approach," ERSA conference papers ersa14p219, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa14p219
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    1. R. Nagaraj & A. Varoudakis & M.-A. Véganzonès, 2000. "Long-run growth trends and convergence across Indian States," Journal of International Development, John Wiley & Sons, Ltd., vol. 12(1), pages 45-70.
    2. Ferreira, Pedro Cavalcanti Gomes & Jr., Roberto de Goes Ellery, 1996. "Convergência Entre a Renda Per-Capita dos Estados Brasileiros," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 16(1), November.
    3. repec:dau:papers:123456789/4395 is not listed on IDEAS
    4. Leonardo M. Monasterio & Rodrigo Peres de Ávila, 2004. "Uma Análise Espacial do Crescimento Econômico do Rio Grande do Sul (1939-2001)," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 5(2), pages 269-296.
    5. Philippe De Vreyer & Gilles Spielvogel, 2005. "Spatial externalities between Brazilian municipios and their neighbours," Ibero America Institute for Econ. Research (IAI) Discussion Papers 123, Ibero-America Institute for Economic Research.
    6. Harry H. Kelejian & Dennis P. Robinson, 1997. "Infrastructure Productivity Estimation And Its Underlying Econometric Specifications: A Sensitivity Analysis," Papers in Regional Science, Wiley Blackwell, vol. 76(1), pages 115-131, January.
    7. Eduardo Simoes de Almeida & Eduardo Amaral Haddad & Geoffrey Hewings, 2010. "Transport-Regional Equity Issue Revisited," Regional Studies, Taylor & Francis Journals, vol. 44(10), pages 1387-1400.
    8. Holtz-Eakin, Douglas, 1994. "Public-Sector Capital and the Productivity Puzzle," The Review of Economics and Statistics, MIT Press, vol. 76(1), pages 12-21, February.
    9. Fabrizio Carmignani, 2006. "The Road to Regional Integration in Africa: Macroeconomic Convergence and Performance in COMESA," Journal of African Economies, Centre for the Study of African Economies, vol. 15(2), pages 212-250, June.
    10. Giorgio Fazio & Davide Piacentino, 2011. "Testing for convergence from the micro-level," Working Papers 2011_07, Business School - Economics, University of Glasgow.
    11. Coro CHASCO & Ana Mª LÓPEZ, 2009. "Multilevel Models: An Application To The Beta-Convergence Model," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 30, pages 35-58.
    12. Elydia Silva & Rosa Fontes & Luiz Fernando Alves, 2004. "Análise Das Disparidades Regionais Em Minas Gerais," Anais do XI Semin·rio sobre a Economia Mineira [Proceedings of the 11th Seminar on the Economy of Minas Gerais], in: João Antonio de Paula & et alli (ed.),Anais do XI Seminário sobre a Economia Mineira [Proceedings of the 11th Seminar on the Economy of Minas Gerais], Cedeplar, Universidade Federal de Minas Gerais.
    13. World Bank, 2006. "Infrastructure at the Crossroads : Lessons from 20 Years of World Bank Experience," World Bank Publications - Books, The World Bank Group, number 7189.
    14. Priscila Albina Grolli & Cristiano Aguiar de Oliveira & Paulo Andrade Jacinto, 2006. "Crescimento Econômico E Convergência Com A Utilização De Regressões Quantílicas: Um Estudo Para Os Municípios Do Rio Grande Do Sul (1970-2001)," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 14, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
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    Cited by:

    1. Roberto Machado, 2017. "Crecimiento económico e infraestructura de transportes y comunicaciones en el Perú," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 40(79), pages 9-46.

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    More about this item

    Keywords

    economic growth; infrastructure; spatial dependence; multilevel spatial model;
    All these keywords.

    JEL classification:

    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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