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L’évaluation de l’efficience des institutions d’enseignement supérieur en Tunisie : le cas des Instituts supérieurs des études technologiques (ISET)


  • Bouzouita, Anis

    () (Faculté de Droit et des Sciences Economiques et Politiques de Sousse)

  • Vierstraete, Valérie

    () (Université de Sherbrooke)

  • Kouki, Mokhtar

    (Ecole Supérieure de la Statistique et d’Analyse de l’Information de Tunis)


Assessing the Efficiency of Higher Education Institutions in Tunisia : The Case of Higher Institutes of Technological Studies. In this paper, we evaluate the technical efficiency of Tunisian higher institutes of technological studies (ISET) with a non-parametric method, the Data Envelopment Analysis (DEA). The results show that these institutions are characterized by technical inefficiency of around 20%, which can be explained both by an inaccurate size (scale inefficiency of 11%) and by management problems (pure inefficiency of around 10%). We also find that a majority of the ISET in our sample would operate optimally if they could increase their scale of production. This can be a way for policy makers who want to promote higher education in Tunisia. Résumé – Dans cet article, nous évaluons l’efficience des Instituts supérieurs des études technologiques tunisiens (ISET) avec la méthode non paramétrique du Data Envelopment Analysis (DEA). Il ressort des résultats empiriques que le fonctionnement de ces établissements se caractérise par une inefficience technique de l’ordre de 20 %, pouvant s’expliquer à la fois par des problèmes de taille des établissements (inefficience d’échelle de 11 % environ) et par des problèmes de gestion (inefficience pure de l’ordre de 10 %). Les résultats montrent également qu’une majorité des ISET de notre échantillon fonctionnerait de façon optimale si leur échelle de production augmentait, ce qui peut se révéler des pistes de solutions pour les pouvoirs politiques voulant promouvoir le système éducatif supérieur en Tunisie.

Suggested Citation

  • Bouzouita, Anis & Vierstraete, Valérie & Kouki, Mokhtar, 2012. "L’évaluation de l’efficience des institutions d’enseignement supérieur en Tunisie : le cas des Instituts supérieurs des études technologiques (ISET)," L'Actualité Economique, Société Canadienne de Science Economique, vol. 88(3), pages 347-360, Septembre.
  • Handle: RePEc:ris:actuec:0076

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    References listed on IDEAS

    1. Johnes, Geraint, 1992. "Performance Indicators in Higher Education: A Survey of Recent Work," Oxford Review of Economic Policy, Oxford University Press, vol. 8(2), pages 19-34, Summer.
    2. Deller, Steven C. & Rudnicki, Edward, 1993. "Production efficiency in elementary education: The case of Maine public schools," Economics of Education Review, Elsevier, vol. 12(1), pages 45-57, March.
    3. Avkiran, Necmi K., 2001. "Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 35(1), pages 57-80, March.
    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. 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.
    6. Beasley, J. E., 1990. "Comparing university departments," Omega, Elsevier, vol. 18(2), pages 171-183.
    7. Nikias Sarafoglou & Kingsley E. Haynes, 1996. "University productivity in Sweden: a demonstration and explanatory analysis for economics and business programs," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 30(3), pages 285-304.
    8. Roger Carrington & Tim Coelli & D. S. Prasada Rao, 2005. "The Performance Of Australian Universities: Conceptual Issues And Preliminary Results," Economic Papers, The Economic Society of Australia, vol. 24(2), pages 145-163, June.
    9. Bauer, Paul W., 1990. "Recent developments in the econometric estimation of frontiers," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 39-56.
    10. Higgins, J. C., 1989. "Performance measurement in universities," European Journal of Operational Research, Elsevier, vol. 38(3), pages 358-368, February.
    11. 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.
    12. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    13. Geraint Johnes, 1995. "Scale and technical efficiency in the production of economic research," Applied Economics Letters, Taylor & Francis Journals, vol. 2(1), pages 7-11.
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    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid


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