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A stochastic frontier approach to total factor productivity measurement in Bangladesh crop agriculture, 1961-92

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Author Info

  • Tim Coelli

    (School of Economics, University of Queensland, Australia)

  • Sanzidur Rahman

    (School of Economic Studies, University of Manchester, UK)

  • Colin Thirtle

    (Department of Environmental Science and Technology, Imperial College London, UK)

Abstract

This paper applies a stochastic production frontier model to measure total factor productivity growth, technical efficiency change and technological change in Bangladesh crop agriculture for the 31 observations from 1960|61 to 1991|92, using data for 16 regions. The results reveal that technical change followed a U-shaped pattern, rising from the early 1970s, when the green revolution varieties were adopted, giving an overall rate of technical progress at 0.27 per cent per year. However, technical efficiency declined throughout, at an estimated annual rate of 0.47 per cent. The combined effect of slow technical progress, dominated by the fall in technical efficiency resulted in total factor productivity (TFP) declining at a rate of 0.23 per cent per annum, with the rate of decline increasing in the later years. TFP change is shown to depend on the green revolution technology and agricultural research expenditures. Copyright © 2003 John Wiley & Sons, Ltd.

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File URL: http://hdl.handle.net/10.1002/jid.975
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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Journal of International Development.

Volume (Year): 15 (2003)
Issue (Month): 3 ()
Pages: 321-333

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Handle: RePEc:wly:jintdv:v:15:y:2003:i:3:p:321-333

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Web page: http://www3.interscience.wiley.com/journal/5102/home

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  1. 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 325-32.
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Cited by:
  1. Shilpa Chaudhary, 2012. "Trends in Total Factor Productivity in Indian Agriculture: State-level Evidence using non-parametric Sequential Malmquist Index," Working papers 215, Centre for Development Economics, Delhi School of Economics.
  2. A. Peyrache & A. N. Rambaldi, 2012. "A State-Space Stochastic Frontier Panel Data Model," CEPA Working Papers Series WP012012, School of Economics, University of Queensland, Australia.
  3. M Niaz Asadullah & Sanzidur Rahman, 2005. "Farm productivity and efficiency in rural Bangladesh:The role of education revisited," CSAE Working Paper Series 2005-10, Centre for the Study of African Economies, University of Oxford.
  4. Zaeske, Andrew, 2012. "Aggregate Technical Efficiency and Water Use in U.S. Agriculture," CERE Working Papers 2012:11, CERE - the Center for Environmental and Resource Economics.
  5. Rahman, Sanzidur, 2004. "Regional Productivity Differences And Prospect For Convergence In Bangladesh Agriculture, 1964-1992," 2004 Annual meeting, August 1-4, Denver, CO 20047, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  6. Anik, Asif Reza & Breustedt, Gunnar & Bauer, Siegfried, 2011. "The Impact of Corruption on Farmers' Efficiency in Rice Production: A Natural Experiment from Bangladesh," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114224, European Association of Agricultural Economists.

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