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Determinantes de la eficiencia en las universidades públicas españolas: un análisis DEA en dos etapas

In: Investigaciones de Economía de la Educación 10

Author

Listed:
  • Yolanda Fernández-Santos

    (Universidad de León)

  • Almudena Martínez-Campillo

    (Universidad de León)

  • José Miguel Fernández-Fernández

    (Universidad de León)

Abstract

La presión a la que están siendo sometidas las universidades públicas españolas para utilizar sus recursos de un modo más eficiente, junto con la exigencia por parte de la Administración Pública de que sean cada vez más responsables de sus actividades, están contribuyendo en gran medida a aumentar el interés académico por medir la gestión de dichas instituciones. En concreto, la necesidad de evaluar su eficiencia se ha visto incrementada a partir de la introducción de la LOU, donde el logro de la competitividad y la excelencia en las distintas actividades desarrolladas por las universidades españolas debe ir en paralelo con el alcance de un nivel de eficiencia aceptable. En este contexto, resulta crucial conocer tanto los niveles de eficiencia alcanzados por estas entidades como los factores que determinan dichos valores, siendo éste el propósito principal del presente trabajo. Para alcanzar dicho objetivo se realiza un análisis en dos etapas sobre un total de 156 observaciones, correspondientes a las universidades públicas españolas presenciales existentes en los cursos académicos 2002/03, 2004/05, 2006/07 y 2008/09 -los únicos con información disponible tras las implantación de la LOU-. En la primera etapa, se evalúa el nivel de eficiencia técnica de las instituciones, utilizando un análisis Windows basado la metodología no paramétrica del Análisis Envolvente de Datos (DEA). Por su parte, en la segunda etapa, se analizan los determinantes de la eficiencia a través de un análisis de Regresión Truncada, considerando una serie de factores que hacen referencia tanto a las características internas de las universidades como a las condiciones socioeconómicas del entorno donde éstas desarrollan su actividad. Nuestros hallazgos, por tanto, aportan información relevante para que tanto responsables políticos como gestores universitarios puedan adoptar medidas dirigidas al logro de un uso más eficiente de los recursos disponibles en las universidades públicas españolas.

Suggested Citation

  • Yolanda Fernández-Santos & Almudena Martínez-Campillo & José Miguel Fernández-Fernández, 2015. "Determinantes de la eficiencia en las universidades públicas españolas: un análisis DEA en dos etapas," Investigaciones de Economía de la Educación volume 10, in: Marta Rahona López & Jennifer Graves (ed.), Investigaciones de Economía de la Educación 10, edition 1, volume 10, chapter 25, pages 491-508, Asociación de Economía de la Educación.
    • Handle: RePEc:aec:ieed10:10-25
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    1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    2. Melville L. McMillan & Debasish Datta, 1998. "The Relative Efficiencies of Canadian Universities: A DEA Perspective," Canadian Public Policy, University of Toronto Press, vol. 24(4), pages 485-511, December.
    3. Antreas Athanassopoulos & Estelle Shale, 1997. "Assessing the Comparative Efficiency of Higher Education Institutions in the UK by the Means of Data Envelopment Analysis," Education Economics, Taylor & Francis Journals, vol. 5(2), pages 117-134.
    4. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, December.
    5. Joanna Wolszczak-Derlacz & Aleksandra Parteka, 2011. "Efficiency of European public higher education institutions: a two-stage multicountry approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 887-917, December.
    6. Yolanda Fernández Santos & Almudena Martínez Campillo & José Miguel Fernández Fernández, 2013. "Evaluación de la eficiencia y el cambio de productividad en el sistema universitario público español tras la implantación de la LOU," Hacienda Pública Española / Review of Public Economics, IEF, vol. 205(2), pages 71-98, June.
    7. Breu, Theodore M. & Raab, Raymond L., 1994. "Efficiency and perceived quality of the nation's "top 25" National Universities and National Liberal Arts Colleges: An application of data envelopment analysis to higher education," Socio-Economic Planning Sciences, Elsevier, vol. 28(1), pages 33-45.
    8. Johnes, Jill, 2006. "Data envelopment analysis and its application to the measurement of efficiency in higher education," Economics of Education Review, Elsevier, vol. 25(3), pages 273-288, June.
    9. Aleksandra Parteka & Joanna Wolszczak-Derlacz, 2013. "Dynamics of productivity in higher education: cross-european evidence based on bootstrapped Malmquist indices," Journal of Productivity Analysis, Springer, vol. 40(1), pages 67-82, August.
    10. 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.
    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. Tommaso Agasisti & Carlo Salerno, 2007. "Assessing the Cost Efficiency of Italian Universities," Education Economics, Taylor & Francis Journals, vol. 15(4), pages 455-471.
    13. Néstor Duch-Brown & Montserrat Vilalta, 2010. "Can better governance increase university efficiency?," Working Papers 2010/52, Institut d'Economia de Barcelona (IEB).
    14. A. T. Flegg & D. O. Allen & K. Field & T. W. Thurlow, 2004. "Measuring the efficiency of British universities: a multi-period data envelopment analysis," Education Economics, Taylor & Francis Journals, vol. 12(3), pages 231-249.
    15. Ahn, Taesik & Charnes, Abraham & Cooper, William W., 1988. "Some statistical and DEA evaluations of relative efficiencies of public and private institutions of higher learning," Socio-Economic Planning Sciences, Elsevier, vol. 22(6), pages 259-269.
    16. Tommaso Agasisti & Antonio Dal Bianco, 2006. "Data envelopment analysis to the Italian university system: theoretical issues and policy implications," International Journal of Business Performance Management, Inderscience Enterprises Ltd, vol. 8(4), pages 344-367.
    17. Colbert, Amy & Levary, Reuven R. & Shaner, Michael C., 2000. "Determining the relative efficiency of MBA programs using DEA," European Journal of Operational Research, Elsevier, vol. 125(3), pages 656-669, September.
    18. Néstor Duch-Brown & Montserrat Vilalta, 2010. "Can better governance increase university efficiency?," Working Papers 2010/52, Institut d'Economia de Barcelona (IEB).
    19. 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.
    20. Susanne Warning, 2004. "Performance Differences in German Higher Education: Empirical Analysis of Strategic Groups," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 24(4), pages 393-408, June.
    21. Abbott, M. & Doucouliagos, C., 2003. "The efficiency of Australian universities: a data envelopment analysis," Economics of Education Review, Elsevier, vol. 22(1), pages 89-97, February.
    22. BERBEGAL MIRABENT, Jasmina & SOLÉ PARELLADA, Francesc, 2012. "What Are We Measuring When Evaluating Universities’ Efficiency?," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 12(3).
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    More about this item

    Keywords

    eficiencia; análisis envolvente de datos (DEA); análisis windows; determinantes; regresión truncada; universidades públicas españolas;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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