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Produtividade Total Dos Fatores Nas Principais Lavouras De Grãos Brasileiras: Análise De Fronteira Estocástica E Índice De Malmquist

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  • Rivera Rivera, Edward Bernard Bastiaan
  • Costantin, Paulo Dutra

Abstract

The objective of this paper is to use the techniques of Stochastic Frontier Analysis (SFA) to estimate the increase or decrease of inefficiencies through time, as well as the linear programming procedure Data Envelopment Analysis (DEA) and the Malmquist index in order to analyze the sources of changes in TFP in the main Brazilian grain crops – rice, beans, maize, soybeans and wheat – throughout the period 2001-2006. The results indicate that, although there have been positive changes in TFP for the sample analyzed, a decline in the use of technology has been evidenced for all the main Brazilian grain crops between 2005/2006 – period in which we observe a remarkable downfall in the use of inputs in Brazilian agriculture.

Suggested Citation

  • Rivera Rivera, Edward Bernard Bastiaan & Costantin, Paulo Dutra, 2007. "Produtividade Total Dos Fatores Nas Principais Lavouras De Grãos Brasileiras: Análise De Fronteira Estocástica E Índice De Malmquist," MPRA Paper 5890, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:5890
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    References listed on IDEAS

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    1. Afriat, Sidney N, 1972. "Efficiency Estimation of Production Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(3), pages 568-598, October.
    2. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    3. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    More about this item

    Keywords

    Agriculture; Total Factor Productivity; Stochastic Frontier; Data Envelopment Analysis;

    JEL classification:

    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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