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Tillage Systems, Cropping Practices, Farm Characteristics And Efficiency

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  • Sankranti, Sridhar
  • Langemeier, Michael R.

Abstract

This paper examines the technical efficiency (TE) of a sample of farms in North-Central Kansas practicing conventional and no-till practices. A stochastic frontier production model with technical inefficiency effects is used to obtain individual farm TE values and to explain sources of technical inefficiency. The results indicate that TE is not impacted by no-till practices. Revised paper posted to AgEcon Search 02/11/04

Suggested Citation

  • Sankranti, Sridhar & Langemeier, Michael R., 2004. "Tillage Systems, Cropping Practices, Farm Characteristics And Efficiency," 2004 Annual Meeting, February 14-18, 2004, Tulsa, Oklahoma 34632, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saeaft:34632
    DOI: 10.22004/ag.econ.34632
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    References listed on IDEAS

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    3. Martine AUDIBERT, 1996. "Technical inefficiency effects among paddy farmers at the 'Office du Niger', Mali, West Africa," Working Papers 199613, CERDI.
    4. Fuglie, Keith O., 1999. "Conservation Tillage And Pesticide Use In The Cornbelt," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 31(01), pages 1-15, April.
    5. Jeffery R. Williams & Richard V. Llewelyn & G. Art Barnaby, 1990. "Risk Analysis of Tillage Alternatives with Government Programs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(1), pages 172-181.
    6. Michael R. Rahm & Wallace E. Huffman, 1984. "The Adoption of Reduced Tillage: The Role of Human Capital and Other Variables," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(4), pages 405-413.
    7. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    8. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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