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Can the Small Dairy Farm Remain Competitive in U.S. Agriculture?

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  • Tauer, Loren W.
  • Mishra, Ashok K.

Abstract

The cost of milk production by farm size was decomposed into frontier and efficiency components with a stochastic cost curve using data on 755 USA dairy farms from the year 2000. The estimated frontier function is much flatter than the composite cost curve, and although the frontier cost of production decreases with farm size, that cost reduction is not as pronounced as a cost curve that includes inefficiency. The higher cost of production of many smaller farms is caused by inefficiency. The 50-cow farm has a frontier cost of production of $10.05 and an inefficiency cost of $10.27 for a composite cost of $20.32. In contrast, the 1,000-cow herd has a frontier cost of production of $9.27 and an inefficiency cost of $2.82 for a composite cost of $12.09. The implication is that the efficient 50-cow farm is competitive with the average 1,000-cow farm, but not with the efficient 1,000-cow farm.

Suggested Citation

  • Tauer, Loren W. & Mishra, Ashok K., 2003. "Can the Small Dairy Farm Remain Competitive in U.S. Agriculture?," Working Papers 127239, Cornell University, Department of Applied Economics and Management.
    • Handle: RePEc:ags:cudawp:127239
    DOI: 10.22004/ag.econ.127239
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    1. 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.
    2. Edwards, Clark & Smith, Matthew G. & Peterson, R. Neal, 1985. "The Changing Distribution of Farms by Size: A Markov Analysis," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 37(4), pages 1-16.
    3. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 1-11, December.
    4. 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.
    5. Short, Sara D., 2004. "Characteristics and Production Costs of U.S. Dairy Operations," Statistical Bulletin 262279, United States Department of Agriculture, Economic Research Service.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Blayney, Donald P., 2004. "Milk Production shifts West," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, pages 1-4, September.
    13. Antonio Alvarez & Carlos Arias, 2003. "Diseconomies of Size with Fixed Managerial Ability," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 134-142.
    14. Christopher A. Wolf & Daniel A. Sumner, 2001. "Are Farm Size Distributions Bimodal? Evidence from Kernel Density Estimates of Dairy Farm Size Distributions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 77-88.
    15. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
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