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How can dairy farmers become more revenue efficient? Efficiency drivers on dairy farms

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  • Hansen, Bjørn Gunnar
  • Moland, Kathrine
  • Lenning, Monica Ilstad

Abstract

The aim of this article is to identify a set of efficiency drivers which can explain differences in revenue efficiency between dairy farms. To explore farm efficiency, we apply stochastic frontier analysis on a balanced panel of 212 Norwegian dairy farms. The results show that on average the farms can increase the revenue from dairy by 28 percentage points. The article identifies important drivers of revenue efficiency which the farmer can change in the short or medium run to increase efficiency. Automatic milking systems, high beef production per cow, low age at first calving and organic farming are among drivers which can explain differences in revenue efficiency between farms. Our findings have implications for both management scholars, practitioners and policy makers.

Suggested Citation

  • Hansen, Bjørn Gunnar & Moland, Kathrine & Lenning, Monica Ilstad, 2019. "How can dairy farmers become more revenue efficient? Efficiency drivers on dairy farms," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 8(2), August.
  • Handle: RePEc:ags:ijameu:329823
    DOI: 10.22004/ag.econ.329823
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    References listed on IDEAS

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    1. Tim J. Coelli, 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 219-245, December.
    2. Hansen, Bjorn Gunnar & Herje, Hans Olav & Hova, Jonas, 2019. "Profitability on dairy farms with automatic milking systems compared to farms with conventional milking systems," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 22(2).
    3. 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.
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    Cited by:

    1. DJOKOTO, Justice G. & BADU-PRAH, Charlotte & GIDIGLO, Ferguson K. & SROFENYOH, Francis Y. & AGYEI-HENAKU, Kofi Aaron A-O. & AFRANE ARTHUR, Akua A., 2022. "Farm Size And Efficiency Nexus: Evidence From A Meta-Regression," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 25(1), March.
    2. Martinson Ankrah Twumasi & Dennis Asante & Jesse Nuamah Brako & Zhao Ding & Yuansheng Jiang, 2023. "The Relationship between Chronic Non-Communicable Diseases of Fish Farm Household Members and Production Efficiency: The Case of Ghana," IJERPH, MDPI, vol. 20(5), pages 1-13, February.

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