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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.

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Bibliographic Info

Article provided by Taylor and Francis Journals in its journal Applied Economics Letters.

Volume (Year): 11 (2004)
Issue (Month): 5 ()
Pages: 283-286

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Handle: RePEc:taf:apeclt:v:11:y:2004:i:5:p:283-286

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References

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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, EconWPA, 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. 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, Northeastern Agricultural and Resource Economics Association, vol. 41(3), December.
  2. Yeager, Elizabeth A. & Langemeier, Michael R., 2010. "Productivity Divergence Across Kansas Farms," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61174, Agricultural and Applied Economics Association.
  3. Antonelli Cristiano & Quatraro Francesco, 2007. "Shifting the Bias: How to Disentangle Creative Adoption from Radical Innovation. Empirical Evidence from Italy and the US," Dipartimento di Economia "S. Cognetti de Martiis" LEI & BRICK - Laboratorio di economia dell'innovazione "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio Carlo 200706, University of Turin.
  4. 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).
  5. Shunsuke Managi & James Opaluch & Di Jin & Thomas Grigalunas, 2006. "Alternative technology indexes in the offshore oil and gas industry," Applied Economics Letters, Taylor and Francis Journals, vol. 13(10), pages 659-663.
  6. 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.
  7. 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.
  8. 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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