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Identifying different technologies using a latent class model: extensive versus intensive dairy farms

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  • Antonio Alvarez
  • Julio del Corral

Abstract

In this article, we use a stochastic frontier latent class model to estimate the technology of dairy farms according to their degree of intensification. The results are compared with a model which assumes that the technology is common to all farms. The empirical analysis uses data on a balanced panel of 130 Spanish dairy farms over the period 1999--2006. We find that the intensive technology is more productive than the extensive one and that intensive farms are more technically efficient than extensive farms. Oxford University Press and Foundation for the European Review of Agricultural Economics 2010; all rights reserved. For permissions, please email journals.permissions@oxfordjournals.org, Oxford University Press.

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Bibliographic Info

Article provided by Foundation for the European Review of Agricultural Economics in its journal European Review of Agricultural Economics.

Volume (Year): 37 (2010)
Issue (Month): 2 (June)
Pages: 231-250

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Handle: RePEc:oup:erevae:v:37:y:2010:i:2:p:231-250

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Citations

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Cited by:
  1. Kellermann, Magnus & Salhofer, Klaus, 2011. "Comparing productivity growth in conventional and grassland dairy farms," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114763, European Association of Agricultural Economists.
  2. Mercedes Beltrán-Esteve & José A. Gómez-Limón & Andrés J. Picazo-Tadeo & Ernest Reig-Martínez, 2012. "A metafrontier directional distance function approach to assessing eco-efficiency," Working Papers 1206, Department of Applied Economics II, Universidad de Valencia.
  3. Solís, Daniel & del Corral, Julio & Perruso, Larry & Agar, Juan J., 2014. "Evaluating the impact of individual fishing quotas (IFQs) on the technical efficiency and composition of the US Gulf of Mexico red snapper commercial fishing fleet," Food Policy, Elsevier, vol. 46(C), pages 74-83.
  4. A. Tonini, 2012. "A Bayesian stochastic frontier: an application to agricultural productivity growth in European countries," Economic Change and Restructuring, Springer, vol. 45(4), pages 247-269, November.
  5. Otieno, David Jakinda & Hubbard, Lionel J. & Ruto, Eric, 2011. "Technical efficiency and technology gaps in beef cattle production systems in Kenya: A stochastic metafrontier analysis," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108947, Agricultural Economics Society.
  6. Alvarez, Antonio & del Corral, Julio & Tauer, Loren W., 2012. "Modeling Unobserved Heterogeneity in New York Dairy Farms: One-Stage versus Two-Stage Models," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(3), December.
  7. Yann, de Mey & Mark, Vancauteren & Frankwin, van Winsen & Erwin, Wauters & Ludwig, Lauwers & Steven, Van Passel, 2013. "Measuring productivity change using alternative input–output concepts: A farm level application using FADN data," Proceedings Issues, 2013: Productivity and Its Impacts on Global Trade, June 2-4, 2013. Seville, Spain 152364, International Agricultural Trade Research Consortium.
  8. Hung-pin Lai, 2013. "Estimation of the threshold stochastic frontier model in the presence of an endogenous sample split variable," Journal of Productivity Analysis, Springer, vol. 40(2), pages 227-237, October.
  9. Morrison Paul, Catherine J. & Sauer, Johannes, 2010. "Technologies And Localized Technical Change," 50st Annual Conference, Braunschweig, Germany, September 29-October 1, 2010 93963, German Association of Agricultural Economists (GEWISOLA).
  10. Fertő, Imre & Baráth, Lajos, 2013. "Heterogenitás és technikai hatékonyság - a magyar specializált szántóföldi növénytermesztő üzemek esete
    [Heterogeneity and technical efficiency - the case of Hungarys specialized arable
    ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 650-669.
  11. Barath, Lajos & Ferto, Imre, 2012. "Estimating technical efficiency under technological heterogeneity in Hungarian crop sector," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 134961, Agricultural Economics Society.

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