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L’influence des contraintes de financement de court terme sur le profit des exploitations agricoles. Une approche non paramétrique

Author

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  • Kristiaan Kerstens
  • Jean-Philippe Boussemart
  • Stéphane Blancard

Abstract

[eng] The impact of short term credit constraints on farms’ profitability. Anonparametric approach.. The impact of credit constraints on the economic performance of farms is evaluated. Following Färe, Grosskopf and Lee (1990), we estimate a nonparametric frontier function maximising profit with and without credit constraints. Taking a sample of farms from the Nord-Pas-de-Calais region of France over the period 1995-1998, we obtain estimates for the loss of profit due to limited access to the credit system. Our results show that while variations in economic performance between farms depend mainly on input mismanagement, credit constraints undeniably affect agricultural profits. [fre] L’objet de ce papier est d’analyser l’impact de la contrainte de financement sur la performance économique des exploitations agricoles. A l’instar de Färe, Grosskopf et Lee (1990), nous construisons une frontière de profit dans une approche non paramétrique et maximisons le profit avec et sans contrainte de trésorerie. Sur un échantillon d’exploitations agricoles de la région Nord-Pas-de-Calais de 1995 à 1998, nous évaluons la perte de profit causée par un financement limité. Notre application montre que si la performance économique des exploitations dépend en premier lieu de la gestion des facteurs de production, la contrainte de financement exerce toutefois un effet significatif sur le niveau de profitabilité.

Suggested Citation

  • Kristiaan Kerstens & Jean-Philippe Boussemart & Stéphane Blancard, 2003. "L’influence des contraintes de financement de court terme sur le profit des exploitations agricoles. Une approche non paramétrique," Économie et Prévision, Programme National Persée, vol. 159(3), pages 71-81.
    • Handle: RePEc:prs:ecoprv:ecop_0249-4744_2003_num_159_3_6913
    DOI: 10.3406/ecop.2003.6913
    Note: DOI:10.3406/ecop.2003.6913
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    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. Bhattacharyya, Anjana & Bhattacharyya, Arunava & Kumbhakar, Subal C., 1996. "Government Interventions, Market Imperfections, and Technical Inefficiency in a Mixed Economy: A Case Study of Indian Agriculture," Journal of Comparative Economics, Elsevier, vol. 22(3), pages 219-241, June.
    3. repec:bla:scandj:v:85:y:1983:i:2:p:181-90 is not listed on IDEAS
    4. Phimister, E., 1996. "Farm household production under CAP reform: the impact of borrowing restrictions," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 38.
    5. Henri-Bertrand Lefer & Hana Blaskovic, 1994. "Les modèles de simulation technico-economiques comme méthode d'analyse des différentes politiques agricoles," Économie rurale, Programme National Persée, vol. 224(1), pages 45-51.
    6. 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.
    7. Hana Blaskovic & Henri-Bertrand Lefer, 1994. "Les modèles de simulation technico-économiques comme méthodes d'analyse des impacts de différentes politiques agricoles," Économie rurale, Programme National Persée, vol. 222(1), pages 6-6.
    8. Rolf Färe & Shawna Grosskopf & Hyunok Lee, 1990. "A Nonparametric Approach to Expenditure-Constrained Profit Maximization," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 574-581.
    9. 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.
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