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La mesure de la productivité par des fonctions de distance

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  • Ahmed Barkaoui
  • Jean-Christophe Bureau
  • Jean-Pierre Butault

Abstract

[eng] Measuring Productivity Using Distance Functions by Ahmed Barkaoui, Jean-Christophe Bureau and Jean-Pierre Butault . Productivity measures are highly sensitive to the conventions adopted to measure service flows and fixed factor utilisation costs. An approach based on distance functions can measure productivity without using data on the prices of either factors or products. This method consists of estimating Malmquist indices. It is based on less restrictive assumptions than the traditional methods and sidesteps many problems regarding data and conventions for the costs of the use of capital, family labour and the earth. This method is applied to measure the "agricultural" sector's productivity in 12 countries. An empirical comparison with traditional indices highlights the advantages and disadvantages of this approach. [fre] La mesure de la productivité par des fonctions de distance par Ahmed Barkaoui, Jean-Christophe Bureau et Jean-Pierre Butault . Les mesures de productivité sont très sensibles aux conventions adoptées pour mesurer les flux de services et les coûts d'usage des facteurs fixes. Une approche reposant sur des fonctions de distances permet de mesurer la productivité sans utiliser de données sur les prix des facteurs ni des produits. Tout en reposant sur des hypothèses moins restrictives que les méthodes traditionnelles, cette méthode, qui consiste en l'estimation d'indices de Malmquist, permet d'éviter de nombreux problèmes de données et de conventions sur les coûts d'usage du capital, du travail familial et de la terre. Cette méthode est appliquée à la mesure de la productivité de la branche "agriculture" dans 12 pays. Une comparaison empirique avec des indices traditionnels permet déjuger des avantages et inconvénients de cette approche.

Suggested Citation

  • Ahmed Barkaoui & Jean-Christophe Bureau & Jean-Pierre Butault, 1997. "La mesure de la productivité par des fonctions de distance," Économie et Prévision, Programme National Persée, vol. 127(1), pages 33-46.
  • Handle: RePEc:prs:ecoprv:ecop_0249-4744_1997_num_127_1_5835
    Note: DOI:10.3406/ecop.1997.5835
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    References listed on IDEAS

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    1. Coen, Robert M, 1975. "Investment Behavior, the Measurement of Depreciation, and Tax Policy," American Economic Review, American Economic Association, vol. 65(1), pages 59-74, March.
    2. 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.
    3. Cornes,Richard, 1992. "Duality and Modern Economics," Cambridge Books, Cambridge University Press, number 9780521336017, April.
    4. Berndt, Ernst R. & Fuss, Melvyn A., 1986. "Productivity measurement with adjustments for variations in capacity utilization and other forms of temporary equilibrium," Journal of Econometrics, Elsevier, vol. 33(1-2), pages 7-29.
    5. Ahmed Barkaoui & Jean-Christophe Bureau & Jean-Pierre Butault & Jean-Marc Rousselle, 1992. "L'agriculture américaine est-elle plus productive que celle de l'Europe ?," Économie et Statistique, Programme National Persée, vol. 254(1), pages 29-40.
    6. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
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    Cited by:

    1. Achraf TARSIM, 2008. "L’efficience du secteur ferroviaire européen : Analyse stochastique des effets de la réforme et de la qualité des services," CIRIEC Working Papers 0809, CIRIEC - Université de Liège.

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