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Determinants of technical efficiency of crop and livestock farms in Poland

Author

Listed:
  • Laure Latruffe

    (Économie et Sociologie Rurales - INRA - Institut National de la Recherche Agronomique, UPN - Université Paris Nanterre)

  • Kelvin Balcombe

    (Imperial College London)

  • Sophia Davidova

    (Imperial College London)

  • Katarzyna Zawalinska

    (CASE Foundation)

Abstract

La Pologne est l'un des pays d'Europe de l'Est candidats à une accession à l'Union européenne, qui rencontre de graves problèmes de restructuration agricole. L'article étudie l'efficacité technique, en 2000, d'exploitations agricoles individuelles polonaises spécialisées en élevage et en grandes cultures. L'efficacité est estimée par la méthode de frontière stochastique, et sa variabilité statistique évaluée par la construction d'intervalles de confiance. L'article examine également les déterminants de l'efficacité. Les résultats obtenus pas la méthode de frontière stochastique sont comparés avec ceux obtenus par la méthode de Data Envelopment Analysis (DEA). En moyenne, l'efficacité technique des exploitations d'élevage est supérieure à celle des exploitations de grandes cultures. Pour les deux spécialisations, la relation entre l'efficacité et la taille des exploitations est positive : les grandes exploitations sont les plus efficaces. Les résultats obtenus par la méthode de frontière stochastique sont généralement confirmés par la méthode DEA. La qualité de la terre et le degré d'intégration dans les marchés d'aval sont d'importants déterminants de l'efficacité. La faible éducation est un obstacle majeur à l'efficacité, en particulier pour les exploitations de grandes cultures. De plus, celles-ci utilisent beaucoup les marchés de facteurs (terre et travail), alors que les exploitations d'élevage utilisent plutôt leurs propres terres et le travail familial.

Suggested Citation

  • Laure Latruffe & Kelvin Balcombe & Sophia Davidova & Katarzyna Zawalinska, 2004. "Determinants of technical efficiency of crop and livestock farms in Poland," Post-Print hal-02360570, HAL.
  • Handle: RePEc:hal:journl:hal-02360570
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    References listed on IDEAS

    as
    1. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    2. Van Zyl, Johan & Miller, Bill R. & Parker, Andrew, 1996. "Agrarian structure in Poland : the myth of large-farm superiority," Policy Research Working Paper Series 1596, The World Bank.
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    5. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    6. Philip Lund & Roger Price, 1998. "The Measurement of Average Farm Size," Journal of Agricultural Economics, Wiley Blackwell, vol. 49(1), pages 100-110, March.
    7. 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.
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