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U.S. Dairy Farm Cost Efficiency

Author

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  • Tauer, Loren W.
  • Mishra, Ashok K.
Abstract
A stochastic cost efficiency equation was estimated for the U.S. dairy industry using national data from the production year 2000. The cost of producing a unit of milk was estimated into separate frontier and efficiency components, with both components estimated as a function of causation variables. Variables that might influence the cost of production and cost efficiency of an individual dairy farm were entered as impacting the frontier component as well as the efficiency component of the stochastic curve since a prior both components could be impacted. The factor that has the greatest impact on the cost curve frontier is the number of hours a day the milking facility is used. Using the milking facility more hours per day decreased frontier costs. However, inefficiency increased with increased hours of milking facility use, such that there was no net reduction in costs. Thus farmers can decrease costs with increased utilization of the milking facility, but only if they are efficient in this strategy. Age increased cost of production since older farmers were less efficient. Parlors used for milking as compared to stanchion milking did not decrease frontier costs, but did decrease costs because of increased efficiency, as did the use of a feed nutritionist. Use of rotational grazing decreased frontier costs but also increased fixed cost inefficiency, with a net reduction in cost of production per cwt. of milk sold.

Suggested Citation

  • Tauer, Loren W. & Mishra, Ashok K., 2005. "U.S. Dairy Farm Cost Efficiency," Working Papers 127079, Cornell University, Department of Applied Economics and Management.
    • Handle: RePEc:ags:cudawp:127079
    DOI: 10.22004/ag.econ.127079
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    References listed on IDEAS

    as
    1. Douglas Jackson-Smith & David Trechter & Nate Splett, 2004. "The Contribution of Financial Management Training and Knowledge to Dairy Farm Financial Performance," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 26(1), pages 132-147.
    2. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
    3. Tauer, Loren W. & Mishra, Ashok K., 2006. "Can the small dairy farm remain competitive in US agriculture?," Food Policy, Elsevier, vol. 31(5), pages 458-468, October.
    4. Irving Hoch, 1976. "Returns to Scale in Farming: Further Evidence," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 58(4_Part_1), pages 745-749.
    5. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    6. George Battese & Sumiter Broca, 1997. "Functional Forms of Stochastic Frontier Production Functions and Models for Technical Inefficiency Effects: A Comparative Study for Wheat Farmers in Pakistan," Journal of Productivity Analysis, Springer, vol. 8(4), pages 395-414, November.
    7. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    8. Short, Sara D. & Livezey, Janet S., 2004. "Characteristics and Production Costs," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, pages 1-2, April.
    9. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    10. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    11. 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.
    12. 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.
    13. Douglas Jackson-Smith & David Trechter & Nate Splett, 2004. "The Contribution of Financial Management Training and Knowledge to Dairy Farm Financial Performance," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 26(1), pages 132-147.
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    Cited by:

    1. Nehring, Richard F. & Gillespie, Jeffrey M. & Hallahan, Charles B. & Sauer, Johannes, 2012. "Economic Efficiency of U.S. Organic Versus Conventional Dairy Farms: Evidence from 2005 and 2010," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119769, Southern Agricultural Economics Association.
    2. Saldias, Rodrigo & von Cramon-Taubadel, Stephan, 2012. "Access to credit and the determinants of technical inefficiency among specialized small farmers in Chile," DARE Discussion Papers 1211, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).

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