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

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  • Stéphane Blancard
  • Jean-Philippe Boussemart
  • Kristiaan Kerstens

Abstract

Theimpactofcreditconstraintsontheeconomicperformanceoffarmsisevaluated.FollowingFäre,GrosskopfandLee (1990), we estimate anonparametricfrontier function maximising profit with and without creditconstraints. Taking a sampleof farms from theNord-Pas-de-Calais region of Franceover theperiod 1995-1998, weobtainestimates for the lossofprofitduetolimitedaccesstothecreditsystem.Ourresultsshowthatwhilevariationsineconomicperformance between farms depend mainly on input mismanagement, credit constraints undeniably affect agricultural profits.

Suggested Citation

  • Stéphane Blancard & Jean-Philippe Boussemart & Kristiaan Kerstens, 2003. "L'influence des contraintes de financement de court terme sur le profit des exploitations agricoles. Une approche non paramétrique," Economie & Prévision, La Documentation Française, vol. 159(3), pages 71-81.
    • Handle: RePEc:cai:ecoldc:ecop_159_0071
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    1. repec:bla:scandj:v:85:y:1983:i:2:p:181-90 is not listed on IDEAS
    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. E Phimister, 1996. "Farm household production under CAP reform: the impact of borrowing restrictions," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 38, pages 61-78.
    4. 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.
    5. 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.
    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. 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.
    8. 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.
    9. 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.
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