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Eficiência na Gestão Municipal no Brasil

Author

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  • Ronaldo Seroa da Motta
  • Ajax Moreira

Abstract

This study analyses how technological, political and institutional factors affect the performance of municipalities in improving welfare in Brazil in the period 1989- 2000. The model adopts a stochastic production frontier conditioned to variables related to the provision costs and those that may explain efficiency. The most stable result indicated that there were scale and density economies as measured by, respectively, total population and urban population, and that the breaking up of municipalities reduced efficiency. The wider is the vote margin against the elected governor the lower is the municipal public expenditure, suggesting a patronage pattern in the allocation of states? free resources. Yet the higher is the participation of resource transferred into total expenditure the lower is the efficiency. However, the competitiveness in the political market, the existence of municipal councils and the degree of computational and outsourcing of services have not affected efficiency.

Suggested Citation

  • Ronaldo Seroa da Motta & Ajax Moreira, 2007. "Eficiência na Gestão Municipal no Brasil," Discussion Papers 1301, Instituto de Pesquisa Econômica Aplicada - IPEA.
  • Handle: RePEc:ipe:ipetds:1301
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    References listed on IDEAS

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    1. João José Silveira Soares & Fernando de Holanda Barbosa, 2006. "Regra De Taylor No Brasil: 1999-2005," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 85, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].
    2. Kiefer, Nicholas M, 1978. "Discrete Parameter Variation: Efficient Estimation of a Switching Regression Model," Econometrica, Econometric Society, vol. 46(2), pages 427-434, March.
    3. Salgado, Maria José S. & Garcia, Márcio G. P. & Medeiros, Marcelo C., 2005. "Monetary Policy During Brazil´s Real Plan: Estimating the Central Bank´s Reaction Function," Revista Brasileira de Economia - RBE, FGV/EPGE - Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil), vol. 59(1), January.
    4. Brisne J. V. Céspedes & Elcyon C. R. Lima & Alexis Maka & Mário J. C. Mendonça, 2005. "Measuring Monetary Policy Stance in Brazil," Discussion Papers 1128, Instituto de Pesquisa Econômica Aplicada - IPEA.
    5. Chib, Siddhartha, 1996. "Calculating posterior distributions and modal estimates in Markov mixture models," Journal of Econometrics, Elsevier, vol. 75(1), pages 79-97, November.
    6. Sack, Brian, 2000. "Does the fed act gradually? A VAR analysis," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 229-256, August.
    7. Lima, Elcyon Caiado & Maka, Alexis & Céspedes, Brisne, 2008. "Monetary Policy, Inflation and the Level of Economic Activity in Brazil After the Real Plan: Stylized Facts from SVAR Models," Revista Brasileira de Economia - RBE, FGV/EPGE - Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil), vol. 62(2), October.
    8. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    9. Rodrigo M. Policano & Rodrigo D. L. S. Bueno, 2006. "A Sensibilidade Da Política Monetária No Brasil: 1995-2005," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 83, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].
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