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Ownership, region, system or ? – What leads to efficiency?

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  • Tozer, Peter R
  • Siddique, Muhammad Imran

Abstract

This study utilizes a production function based on costs of feed, health and reproduction, and other inputs to measure efficiency of milk solids production in New Zealand. A second function was also used to measure inefficiency and the sources of inefficiency. The results show that on average producers are reasonably “efficient” with a score of 84%, with reproduction and farming system being major influences on efficiency. Efficient producers have good control over all costs and a high percentage of cows calving early in the milking season. One component of a system that “inefficient” producers can examine is their reproduction program.

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  • Tozer, Peter R & Siddique, Muhammad Imran, 2016. "Ownership, region, system or ? – What leads to efficiency?," 2016 Conference, August 25-26, Nelson, New Zealand 260808, New Zealand Agricultural and Resource Economics Society.
    • Handle: RePEc:ags:nzar16:260808
    DOI: 10.22004/ag.econ.260808
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    References listed on IDEAS

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    1. Evans, R.D. & Wallace, M. & Shalloo, L. & Garrick, D.J. & Dillon, P., 2006. "Financial implications of recent declines in reproduction and survival of Holstein-Friesian cows in spring-calving Irish dairy herds," Agricultural Systems, Elsevier, vol. 89(1), pages 165-183, July.
    2. Tauer, Loren W., 1993. "Short-Run and Long-Run Efficiencies of New York Dairy Farms," Agricultural and Resource Economics Review, Cambridge University Press, vol. 22(1), pages 1-9, April.
    3. 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.
    4. Kumbhakar, Subal C & Biswas, Basudeb & Bailey, DeeVon, 1989. "A Study of Economic Efficiency of Utah Dairy Farmers: A System Approach," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 595-604, November.
    5. Kelly, E & Shalloo, L & Geary, U & Kinsella, A. & Thorne, F & Wallace, M, 2013. "An analysis of the factors associated with technical and scale efficiency of Irish dairy farms," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 2(3), pages 1-11, April.
    6. Peter Bogetoft & Lars Otto, 2011. "Benchmarking with DEA, SFA, and R," International Series in Operations Research and Management Science, Springer, number 978-1-4419-7961-2, July-Dece.
    7. 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.
    8. 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.
    9. 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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    Keywords

    Agribusiness; Agricultural Finance; Farm Management; Production Economics;
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