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Scale Efficiency In Australian Dairy Farms

Author

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  • Graham, Mary
  • Fraser, Iain

Abstract

Data Envelope Analysis, (DEA), a linear programming technique, provides a more consistent measure of efficiency than the commonly cited partial measures of farm efficiency. It yields a relative measure of efficiency and identifies inputs or outputs that are under utilized. In this paper, DEA is used to assess the technical efficiency of a sample of dairy farms across all dairy regions in Australia. Regions vary in size and scale of operation and are examined to see the relationship between farm size and technical efficiency, and to see if there is justification in the move towards bigger dairy production units than currently exist, given their factor mix.

Suggested Citation

  • Graham, Mary & Fraser, Iain, 2003. "Scale Efficiency In Australian Dairy Farms," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57878, Australian Agricultural and Resource Economics Society.
  • Handle: RePEc:ags:aare03:57878
    DOI: 10.22004/ag.econ.57878
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    References listed on IDEAS

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    1. Fraser, I. & Cordina, D., 1999. "An application of data envelopment analysis to irrigated dairy farms in Northern Victoria, Australia," Agricultural Systems, Elsevier, vol. 59(3), pages 267-282, March.
    2. Alfons Weersink & Calum G. Turvey & Abdulahi Godah, 1990. "Decomposition Measures of Technical Efficiency for Ontario Dairy Farms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 38(4), pages 1023-1023, December.
    3. Chambers, Robert G. & Fare, Rolf & Jaenicke, Edward & Lichtenberg, Erik, 1998. "Using dominance in forming bounds on DEA models: The case of experimental agricultural data," Journal of Econometrics, Elsevier, vol. 85(1), pages 189-203, July.
    4. Alfons Weersink & Calum G. Turvey & Abdulahi Godah, 1990. "Decomposition Measures of Technical Efficiency for Ontario Dairy Farms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 38(3), pages 439-456, November.
    5. L. Martin Cloutier & Robin Rowley, 1993. "Relative Technical Efficiency: Data Envelopment Analysis and Quebec's Dairy Farms," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 41(2), pages 169-176, July.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Yun Zhang & Robert Bartels, 1998. "The Effect of Sample Size on the Mean Efficiency in DEA with an Application to Electricity Distribution in Australia, Sweden and New Zealand," Journal of Productivity Analysis, Springer, vol. 9(3), pages 187-204, March.
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    Cited by:

    1. Watson, Alistair S., 2005. "Productivity and the Dairy Industry," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 13.
    2. Gelan, Ayele & Muriithi, Beatrice W., 2015. "Examining Returns to Scale in Smallholder Dairy Farms in East Africa," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 54(3), pages 1-23, September.
    3. Sauer, Johannes & Davidova, Sophia & Gorton, Matthew, 2012. "Heterogeneous Technologies as an Answer to Market and Price Risk: The Case of Kosovo," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122509, European Association of Agricultural Economists.

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