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Input and output biased technological change in US agriculture

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  • Shunsuke Managi
  • David Karemera

Abstract

Data Envelopment Analysis (DEA) techniques are applied to a state-level data set to measure the total factor productivity in US agriculture over 1960-1996. Total factor productivity is decomposed into input and output biased technological change, efficiency change, and scale change, under both constant return to scale (CRS) and variable return to scale (VRS). Assumption of Hick neutral technological change is discussed. Technological change is found to be the result of efficient use of inputs much more than the effects of output capability increase.

Suggested Citation

  • Shunsuke Managi & David Karemera, 2004. "Input and output biased technological change in US agriculture," Applied Economics Letters, Taylor & Francis Journals, vol. 11(5), pages 283-286.
  • Handle: RePEc:taf:apeclt:v:11:y:2004:i:5:p:283-286
    DOI: 10.1080/1350485042000221526
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    References listed on IDEAS

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    1. R. Fare & E. Grifell-Tatje & S. Grosskopf & C.A.K. Lovell, 1995. "Biased Technical Change and the Malmquist Productivity Index," Microeconomics 9508002, University Library of Munich, Germany, revised 22 Aug 1995.
    2. V. Eldon Ball & Jean-Christophe Bureau & Richard Nehring & Agapi Somwaru, 1997. "Agricultural Productivity Revisited," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1045-1063.
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    Cited by:

    1. Shunsuke Managi & Samuel Mulenga Bwalya, 2010. "Foreign direct investment and technology spillovers in sub-Saharan Africa," Applied Economics Letters, Taylor & Francis Journals, vol. 17(6), pages 605-608.
    2. Mugera, Amin W. & Langemeier, Michael R. & Featherstone, Allen M., 2012. "Labor Productivity Growth in the Kansas Farm Sector: A Tripartite Decomposition Using a Non-Parametric Approach," Agricultural and Resource Economics Review, Cambridge University Press, vol. 41(03), pages 298-312, December.
    3. Yeager, Elizabeth A. & Langemeier, Michael R., 2011. "Productivity Divergence across Kansas Farms," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 0(Number 2), pages 1-11, August.
    4. Antonelli, Cristiano & Quatraro, Francesco, 2007. "Shifting the Bias: How to Disentangle Creative Adoption from Radical Innovation. Empirical Evidence from Italy and the US," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 200706, University of Turin.
    5. Mugera, Amin W. & Langemeier, Michael R., 2008. "Labor Productivity Growth And Convergence In The Kansas Farm Sector: A Tripartite Decomposition Using The Dea Approach," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6069, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Tomas Bale┼żentis, 2014. "Total factor productivity in the Lithuanian family farms after accession to the EU: application of the bias-corrected Malmquist indices," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(4), pages 731-746, November.
    7. F. Djoumessi, Yannick, 2016. "Green Agricultural Productivity Growth and Convergence in sub-Saharan Africa," MPRA Paper 79525, University Library of Munich, Germany, revised 11 Dec 2016.
    8. Shunsuke Managi & James Opaluch & Di Jin & Thomas Grigalunas, 2006. "Alternative technology indexes in the offshore oil and gas industry," Applied Economics Letters, Taylor & Francis Journals, vol. 13(10), pages 659-663.
    9. Pestana Barros, Carlos & Managi, Shunsuke & Yoshida, Yuichiro, 2010. "Productivity growth and biased technological change in Japanese airports," Transport Policy, Elsevier, vol. 17(4), pages 259-265, August.
    10. Amin Mugera & Michael Langemeier & Allen Featherstone, 2012. "Labor productivity convergence in the Kansas farm sector: a three-stage procedure using data envelopment analysis and semiparametric regression analysis," Journal of Productivity Analysis, Springer, vol. 38(1), pages 63-79, August.
    11. Briec, Walter & Peypoch, Nicolas & Ratsimbanierana, Hermann, 2011. "Productivity growth and biased technological change in hydroelectric dams," Energy Economics, Elsevier, vol. 33(5), pages 853-858, September.
    12. Boys, Kathryn A. & Foster, Kenneth A., 2005. "Bias and Scale Effects of Direct Government Payments," 2005 Annual meeting, July 24-27, Providence, RI 19337, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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