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Productivity Divergence across Kansas Farms

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  • Yeager, Elizabeth A.
  • Langemeier, Michael R.

Abstract

This study used 30 years of continuous data for 135 farms in Kansas to explore changes in productivity using Malmquist productivity indices (MPI). The indices were used to determine whether there was productivity convergence or divergence in Kansas farms. The results showed there was significant divergence among the farms. The average annual productivity growth was 0.50 percent; the top farms based on MPI were larger in terms of value of farm production, crop farm income, and livestock farm income and received a larger percentage of their income from oilseeds, feed grains, and swine than the other farms on average.

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File URL: http://purl.umn.edu/117777
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Bibliographic Info

Article provided by Northeastern Agricultural and Resource Economics Association in its journal Agricultural and Resource Economics Review.

Volume (Year): 40 (2011)
Issue (Month): 2 (August)
Pages:

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Handle: RePEc:ags:arerjl:117777

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Web page: http://www.narea.org/
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Related research

Keywords: convergence; divergence; productivity growth; Production Economics; Productivity Analysis;

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References

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  1. Fuglie, Keith O. & MacDonald, James C. & Ball, V. Eldon, 2007. "Productivity Growth in U.S. Agriculture," Economic Brief 6382, United States Department of Agriculture, Economic Research Service.
  2. Key, Nigel D. & McBride, William D. & Mosheim, Roberto, 2008. "Decomposition of Total Factor Productivity Change in the U.S. Hog Industry," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(01), April.
  3. Tim J. Coelli & D.S. Prasada Rao, 2003. "Total Factor Productivity Growth in Agriculture: A Malmquist Index Analysis of 93 Countries,1980-2000," CEPA Working Papers Series WP022003, School of Economics, University of Queensland, Australia.
  4. Sala-i-Martin, Xavier, 1995. "The Classical Approach to Convergence Analysis," CEPR Discussion Papers 1254, C.E.P.R. Discussion Papers.
  5. 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.
  6. Ariyaratne, Chatura B. & Featherstone, Allen M. & Langemeier, Michael R., 2006. "What Determines Productivity Growth of Agricultural Cooperatives?," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 38(01), April.
  7. V. Eldon Ball & Charles Hallahan & Richard Nehring, 2004. "Convergence of Productivity: An Analysis of the Catch-up Hypothesis within a Panel of States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(5), pages 1315-1321.
  8. Tauer, Loren W. & Lordkipanidze, Nazibrola, 2000. "Farmer Efficiency And Technology Use With Age," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 29(1), April.
  9. Nazrul Islam, 2003. "What have We Learnt from the Convergence Debate?," Journal of Economic Surveys, Wiley Blackwell, vol. 17(3), pages 309-362, 07.
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