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Technical, Allocative, and Economic Efficiency in Swedish Dairy Farms: The Data Envelopment Analysis Versus the Stochastic Frontier Approach

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  • Johansson, Helena

Abstract

Technical, allocative, and economic input efficiency scores were estimated for an unbalanced panel of Swedish dairy farms, using data envelopment analysis (DEA) and the stochastic frontier approach (SFA). By comparing the results it was concluded that when the entire dairy farm is studied the DEA is more appropriate to use since it does not require any particular parametric form to be chosen. The average DEA technical, allocative and economic efficiency indices were eventually found to be 0.77, 0.57, and 0.43 respectively. The influence of size on the efficiency scores was analyzed and significant evidence indicating a positive relationship between size and efficiency was found. Finally it was concluded that the main challenge facing the Swedish dairy farms is to enhance their cost minimizing skills.

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  • Johansson, Helena, 2005. "Technical, Allocative, and Economic Efficiency in Swedish Dairy Farms: The Data Envelopment Analysis Versus the Stochastic Frontier Approach," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24478, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaae05:24478
    DOI: 10.22004/ag.econ.24478
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    Cited by:

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    2. Le, Stephanie & Jeffrey, Scott R. & An, Henry, 2017. "Greenhouse gas emissions and productive efficiency in Alberta dairy production: What are the trade-offs?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258487, Agricultural and Applied Economics Association.
    3. Chebil, Ali & Frija, Iheb & Bahri, Walid, 2014. "Irrigation water efficiency in wheat production in Chbika (Tunisia):Parametric versus Nonparametric Comparisons," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 15(1), pages 1-14.
    4. Pardo Martínez, Clara Inés, 2013. "An analysis of eco-efficiency in energy use and CO2 emissions in the Swedish service industries," Socio-Economic Planning Sciences, Elsevier, vol. 47(2), pages 120-130.
    5. 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.
    6. Ferrara, Giancarlo & Vidoli, Francesco, 2017. "Semiparametric stochastic frontier models: A generalized additive model approach," European Journal of Operational Research, Elsevier, vol. 258(2), pages 761-777.
    7. Manjunatha, A.V. & Speelman, Stijn & Van Huylenbroeck, Guido & Chandrakanth, Mysore G., 2009. "Impact of groundwater markets in peninsular India on water use efficiency: A Data Envelopment Analysis approach," 2009 Conference, August 16-22, 2009, Beijing, China 50624, International Association of Agricultural Economists.
    8. Dhehibi, Boubaker & Telleria, Roberto & Aw-Hassan, Aden & Hatem Mohamed, Saad & Ziadat, Feras & Wu, Weicheng, 2015. "Impacts of Soil Salinity on the Productivity of Al-Musayyeb Small Farms in Iraq: An Examination of Technical, Economic, and Allocative, Efficiency," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 16(2), pages 1-14.
    9. Pardo Martínez, Clara Inés & Silveira, Semida, 2012. "Analysis of energy use and CO2 emission in service industries: Evidence from Sweden," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 5285-5294.
    10. 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.

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