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Explaining agricultural productivity growth: an international perspective

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  • Derek Headey
  • Mohammad Alauddin
  • D.S. Prasada Rao

Abstract

This article presents multi-output, multi-input total factor productivity (TFP) growth rates in agriculture for 88 countries over the 1970-2001 period, estimated with both stochastic frontier analysis (SFA) and the more commonly employed data envelopment analysis (DEA). We find results with SFA to be more plausible than with DEA, and use them to analyze trends across countries and the determinants of TFP growth in developing countries. The central finding is that policy and institutional variables, including public agricultural expenditure and proagricultural price policy reforms, are significant correlates of TFP growth. The most significant geographic correlate of TFP growth is distance to the nearest OECD country. Copyright (c) 2010 International Association of Agricultural Economists.

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Bibliographic Info

Article provided by International Association of Agricultural Economists in its journal Agricultural Economics.

Volume (Year): 41 (2010)
Issue (Month): 1 (01)
Pages: 1-14

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Handle: RePEc:bla:agecon:v:41:y:2010:i:1:p:1-14

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Cited by:
  1. Ricardo de Avillez, 2011. "A Detailed Analysis of the Productivity Performance of the Canadian Primary Agriculture Sector," CSLS Research Reports 2011-06, Centre for the Study of Living Standards.
  2. Butzer, Rita & Mundlak, Yair & Larson, Donald F., 2010. "Measures of fixed capital in agriculture," Policy Research Working Paper Series 5472, The World Bank.
  3. Chris Ross, 2011. "A Detailed Analysis of the Productivity Performance of the Canadian Food Manufacturing Subsector," CSLS Research Reports 2011-07, Centre for the Study of Living Standards.
  4. Mendali, Rebati & Gunter, Lewell F., . "Impact of Agricultural Productivity Changes on Poverty Reduction in Developing Countries," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143073, Southern Agricultural Economics Association.
  5. Vasile Burja, 2011. "Regional Disparities Of Agricultural Performance In Romania," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(13), pages 12.
  6. Allen, Summer L. & Badiane, Ousmane & Ulimwengu, John M., 2012. "Government expenditures, social outcomes, and marginal productivity of agricultural inputs: a case study for Tanzania," IFPRI discussion papers 1172, International Food Policy Research Institute (IFPRI).
  7. Bezemer, Dirk & Headey, Derek, 2008. "Agriculture, Development, and Urban Bias," World Development, Elsevier, vol. 36(8), pages 1342-1364, August.
  8. Allen, Summer L. & Qaim, Matin, 2012. "Agricultural productivity and public expenditures in sub-saharan africa:," IFPRI discussion papers 1173, International Food Policy Research Institute (IFPRI).
  9. Karanja, Francis & Gilmour, Daniel & Fraser, Iain, 2012. "Dairy productivity growth, efficiency change and technological progress in Victoria," 2012 Conference (56th), February 7-10, 2012, Freemantle, Australia 125053, Australian Agricultural and Resource Economics Society.
  10. Indra Nurcahyo Sjarif & Koji Kotani & Ching-Yang Lin, 2011. "Exports and economic growth in Indonesia's fishery sub-sector: Cointegration and error-correction models," Working Papers EMS_2011_16, Research Institute, International University of Japan.

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