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Are dairy farms becoming more intensive? Impact on farm efficiency

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  • Álvarez, Antonio
  • Arias, Carlos

Abstract

The recent trend in the intensification of dairy farming in Europe has sparked an interest in studying the economic consequences of this process. However, classifying empirically farms as extensive or intensive is not a straightforward task. In recent papers, Latent Class Models (LCM) have been used to avoid an ad-hoc split of the sample into intensive and extensive dairy farms. A limitation of current specifications of LCM is that they do not allow farms to switch between different production systems over time. This feature of the model is at odds with the process of intensification of the European dairy industry in past decades. We allow for changes of production systems over time by estimating a single LCM model but splitting the original panel into two periods and find that the probability of using the intensive technology increases over time. Our estimation proposal opens up the possibility of studying the effects of intensification not only across farms but also over time.

Suggested Citation

  • Álvarez, Antonio & Arias, Carlos, 2013. "Are dairy farms becoming more intensive? Impact on farm efficiency," Efficiency Series Papers 2013/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
  • Handle: RePEc:oeg:wpaper:2013/01
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    File URL: https://www.unioviedo.es/oeg/ESP/esp_2013_01.pdf
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    References listed on IDEAS

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    1. Tauer, Loren W. & Belbase, Krishna P., 1987. "Technical Efficiency Of New York Dairy Farms," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 16(1), pages 1-7, April.
    2. Tom Kompas & Tuong Nhu Che, 2006. "Technology choice and efficiency on Australian dairy farms ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 50(1), pages 65-83, March.
    3. Carol Newman & Alan Matthews, 2006. "The productivity performance of Irish dairy farms 1984–2000: a multiple output distance function approach," Journal of Productivity Analysis, Springer, vol. 26(2), pages 191-205, October.
    4. Hallam, David & Machado, Fernando, 1996. "Efficiency Analysis with Panel Data: A Study of Portuguese Dairy Farms," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 23(1), pages 79-93.
    5. Álvarez, Antonio & del Corral, Julio & Solís, Daniel & Pérez, José Antonio, 2007. "Does Intensification Help to Improve the Economic Efficiency of Dairy Farms?," Efficiency Series Papers 2007/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    6. Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
    7. Antonio Alvarez & Julio del Corral, 2010. "Identifying different technologies using a latent class model: extensive versus intensive dairy farms," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 37(2), pages 231-250, June.
    8. 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.
    9. Nehring, Richard F. & Sauer, Johannes & Gillespie, Jeffrey M. & Hallahan, Charles B., 2011. "Intensive versus Extensive Dairy Production Systems: Dairy States in the Eastern and Midwestern U.S. and Key Pasture Countries the E.U.: Determining the Competitive Edge," 2011 Annual Meeting, February 5-8, 2011, Corpus Christi, Texas 98824, Southern Agricultural Economics Association.
    10. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
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    Cited by:

    1. Antonio Alvarez & Carlos Arias, 2014. "A selection of relevant issues in applied stochastic frontier analysis," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 3-11.
    2. Martinez Cillero, Maria & Breen, James & Thorne, Fiona & Wallace, Michael & Hennessy, Thia, 2016. "Technical efficiency and technology heterogeneity of beef farms: a latent class stochastic frontier approach," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236351, Agricultural Economics Society.

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