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Agriculture's environmental externalities : is there a free lunch ? DEA evidence for French agriculture

Author

Listed:
  • Isabelle Piot-Lepetit

    (Unité d'économie et sociologie rurales de rennes - INRA - Institut National de la Recherche Agronomique)

  • Dominique Vermersch

    (Unité d'économie et sociologie rurales de rennes - INRA - Institut National de la Recherche Agronomique)

  • Robert D. Weaver

    (Penn State - Pennsylvania State University - Penn State System)

Abstract

Lorsque des effets externes de production sont associés à l'utilisation d'inputs particuliers, la résorption de l'inefficacité technique par le biais d'une réduction de ces inputs représente un mode d'internalisation où l'intérêt privé de l'agent rejoint l'intérêt social. Ce document utilise l'approche DEA (Data Envelopment Analysis) pour estimer les réductions potentielles d'intrants polluants au sein d'un échantillon d'exploitation céréalière.

Suggested Citation

  • Isabelle Piot-Lepetit & Dominique Vermersch & Robert D. Weaver, 1995. "Agriculture's environmental externalities : is there a free lunch ? DEA evidence for French agriculture," Post-Print hal-02403486, HAL.
    • Handle: RePEc:hal:journl:hal-02403486
    Note: View the original document on HAL open archive server: https://hal.science/hal-02403486
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    References listed on IDEAS

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    1. Wagner A. Kamakura, 1988. "Note---A Note on "The Use of Categorical Variables in Data Envelopment Analysis"," Management Science, INFORMS, vol. 34(10), pages 1273-1276, October.
    2. Kopp, Raymond J., 1981. "Measuring the technical efficiency of production: A comment," Journal of Economic Theory, Elsevier, vol. 25(3), pages 450-452, December.
    3. Banker, Rajiv D., 1984. "Estimating most productive scale size using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 17(1), pages 35-44, July.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
    6. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    7. Rajiv D. Banker & Richard C. Morey, 1986. "Efficiency Analysis for Exogenously Fixed Inputs and Outputs," Operations Research, INFORMS, vol. 34(4), pages 513-521, August.
    8. Kumbhakar, Subal C, 1988. "Estimation of Input-Specific Technical and Allocative Inefficiency in Stochastic Frontier Models," Oxford Economic Papers, Oxford University Press, vol. 40(3), pages 535-549, September.
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