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Convergence in Brazil: new evidence using a multilevel approach

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  • Alberto Díaz Dapena
  • Fernando Rubiera Morollón
  • Mônica de Moura Pires
  • Andréa da Silva Gomes

Abstract

Empirical analysis of regional convergence does not focus its attention on the spatial level of the data. Most of the time, the analysis is made at the aggregated level, by large regions or states, where there are more data available. However, when there is a wide intra-regional heterogeneity, it is possible to have regional convergence coexisting with local processes of divergence. This is our hypothesis for the case of Brazil, where there are relevant different intra-state behaviours. To capture these behaviours in this article, an adaptation of multilevel techniques to the $${\rm{\beta }}$$β -Convergence analysis is proposed using data of Brazilian states and municipalities taken from the Economic Census (1991 to 2010). With this data, we confirm the existence of convergence at the national level, but we can observe that this general trend coexists with different intra-state behaviours across Brazilian geography. The most industrialized or urbanized states of the Southeast usually present internal divergence, while the less developed inland states normally show convergence, which agrees with what we expect from the central/periphery models.

Suggested Citation

  • Alberto Díaz Dapena & Fernando Rubiera Morollón & Mônica de Moura Pires & Andréa da Silva Gomes, 2017. "Convergence in Brazil: new evidence using a multilevel approach," Applied Economics, Taylor & Francis Journals, vol. 49(50), pages 5050-5062, October.
  • Handle: RePEc:taf:applec:v:49:y:2017:i:50:p:5050-5062
    DOI: 10.1080/00036846.2017.1299101
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    References listed on IDEAS

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    1. Masahisa Fujita & Paul Krugman & Anthony J. Venables, 2001. "The Spatial Economy: Cities, Regions, and International Trade," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262561476, December.
    2. Coulombe, S. & Lee, F.C., 1993. "Regional Economic Disparities in Canada," Working Papers 9317e, University of Ottawa, Department of Economics.
    3. Carlos A. Azzoni & Naercio Menezes-Filho & Tatiana de Menezes & Raúl Silveira-Neto, 2000. "Geography and Income Convergence among Brazilian States," Research Department Publications 3096, Inter-American Development Bank, Research Department.
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    Cited by:

    1. Luciano Nakabashi & Ana Elisa Pereira, 2023. "Factors of production, productivity, institutions, and development: Evidence from Brazil," Review of Development Economics, Wiley Blackwell, vol. 27(2), pages 1034-1055, May.
    2. Venera Timiryanova & Dina Krasnoselskaya & Irina Lakman & Denis Popov, 2021. "Inter- and Intra-Regional Disparities in Russia: Factors of Uneven Economic Growth," Sustainability, MDPI, vol. 13(24), pages 1-31, December.
    3. Alberto Díaz Dapena & Fernando Rubiera-Morollon & Dusan Paredes, 2019. "New Approach to Economic Convergence in the EU: A Multilevel Analysis from the Spatial Effects Perspective," International Regional Science Review, , vol. 42(3-4), pages 335-367, May.
    4. Venera M. Timiryanova & Konstantin E. Grishin & Natalya Z. Solodilova & Rustam I. Malikov, 2022. "Economic Growth of Municipalities in Russia: Assessment of Unevenness in Time and Space," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 21(3), pages 514-544.
    5. Fazio, Giorgio & Piacentino, Davide, 2018. "Convergence analysis for hierarchical longitudinal data," Economic Modelling, Elsevier, vol. 73(C), pages 89-99.

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