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Estimation de l’efficience des dépenses de santé au niveau départemental par la méthode DEA

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  • Sylvain Pichetti
  • David Bardey

Abstract

[fre] Les départements français présentent de fortes disparités en matière de dépenses de santé . Le problème des autorités publiques est de déterminer si ces écarts représentent des différences en termes de besoins sanitaires et médicaux ou s ’ ils résultent d ’ une mauvaise gestion du risque maladie par les différents acteurs du système de santé dans certains départements . Nous proposons une estimation de l ’ efficience des dépenses de santé à l ’ échelon départemental . Notre estimation résulte d ’ une comparaison des niveaux des dépenses de santé qui tient compte des résultats exprimés en termes de morbidité ainsi que de l ’ environnement de chaque département . Nous montrons enfin comment les scores DEA peuvent être utilisés au sein du système de péréquation interrégionale . [eng] There are wide discrepancies between French départements as regards health expenditure . The problem for the public authorities is to determine whether these gaps represent differences in health and medical needs or are the consequence of inefficient management of health risks by the various participants in the healthcare system in certain départements . We suggest an estimation of the efficiency of health expenditure in individual départements . This measure of marginal efficiency results from a comparison of the levels of health expenditure taking into account indicators of morbidity and of the environment of each département . We use a DEAmodel in order to obtain a measure of managerial efficiency that allows for exogenous features of the operating environment . Finally , we show how DEAscores can be used as a yardstick in the interregional equalisation system .

Suggested Citation

  • Sylvain Pichetti & David Bardey, 2004. "Estimation de l’efficience des dépenses de santé au niveau départemental par la méthode DEA," Économie et Prévision, Programme National Persée, vol. 166(5), pages 59-69.
    • Handle: RePEc:prs:ecoprv:ecop_0249-4744_2004_num_166_5_7381
    DOI: 10.3406/ecop.2004.7381
    Note: DOI:10.3406/ecop.2004.7381
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    References listed on IDEAS

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    1. Margherita Giannoni & Theodore Hitiris, 2002. "The regional impact of health care expenditure: the case of Italy," Applied Economics, Taylor & Francis Journals, vol. 34(14), pages 1829-1836.
    2. Pierre‐Yves Crémieux & Pierre Ouellette & Caroline Pilon, 1999. "Health care spending as determinants of health outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 8(7), pages 627-639, November.
    3. Park, Soo-Uk & Lesourd, Jean-Baptiste, 2000. "The efficiency of conventional fuel power plants in South Korea: A comparison of parametric and non-parametric approaches," International Journal of Production Economics, Elsevier, vol. 63(1), pages 59-67, January.
    4. Jayasuriya, Ruwan & Wodon, Quentin, 2003. "Measuring and Explaining Country Efficiency in Improving Health and Education Indicators," MPRA Paper 11183, University Library of Munich, Germany.
    5. 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.
    6. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    7. Peter Bogetoft, 2000. "DEA and Activity Planning under Asymmetric Information," Journal of Productivity Analysis, Springer, vol. 13(1), pages 7-48, January.
    8. Agrell, Per J. & Bogetoft, Peter, 2001. "DEA-Based Incentive Regimes in Health-Care Provision," Unit of Economics Working Papers 24182, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.
    9. Hitiris, Theo & Posnett, John, 1992. "The determinants and effects of health expenditure in developed countries," Journal of Health Economics, Elsevier, vol. 11(2), pages 173-181, August.
    10. Kristiaan Kerstens & Philippe Vanden Eeckaut, 1999. "A new criterion for technical efficiency measures: non-monotonicity across dimensions axioms," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 20(1), pages 45-59.
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