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Measuring Italian university efficiency: a non-parametric approach

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  • Monaco, Luisa

Abstract

This work analyses the performance of Italian universities taking into account technical efficiency. The study provides an assessment of levels of technical efficiency taking into account also environmental factors. We focus on the relationship between levels of technical efficiency and university students dropouts. The efficiency analysis, using Data Envelopment Analysis, w.r.t. the 2009/10 academic year, shows that universities belonging to the private sector have higher efficiency scores than public owned universities. Moreover, a difference arises on a geographical basis where centre-northern universities are generally more efficient than southern ones.

Suggested Citation

  • Monaco, Luisa, 2011. "Measuring Italian university efficiency: a non-parametric approach," MPRA Paper 37949, University Library of Munich, Germany, revised 29 Feb 2012.
    • Handle: RePEc:pra:mprapa:37949
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    References listed on IDEAS

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    1. Johnes, Geraint & Johnes, Jill, 1993. "Measuring the Research Performance of UK Economics Departments: An Application of Data Envelopment Analysis," Oxford Economic Papers, Oxford University Press, vol. 45(2), pages 332-347, April.
    2. Jeremy P. Smith & Robin A. Naylor, 2001. "Dropping out of university: A statistical analysis of the probability of withdrawal for UK university students," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 164(2), pages 389-405.
    3. Gary Madden & Scott Savage & Steven Kemp, 1997. "Measuring Public Sector Efficiency: A Study of Economics Departments at Australian Universities," Education Economics, Taylor & Francis Journals, vol. 5(2), pages 153-168.
    4. 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.
    5. Hoff, Ayoe, 2007. "Second stage DEA: Comparison of approaches for modelling the DEA score," European Journal of Operational Research, Elsevier, vol. 181(1), pages 425-435, August.
    6. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    7. Tommaso Agasisti & Geraint Johnes, 2009. "Beyond frontiers: comparing the efficiency of higher education decision-making units across more than one country," Education Economics, Taylor & Francis Journals, vol. 17(1), pages 59-79.
    8. Othman Joumady & Catherine Ris, 2005. "Performance in European higher education: A non-parametric production frontier approach," Education Economics, Taylor & Francis Journals, vol. 13(2), pages 189-205.
    9. 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.
    10. Johnes, Jill, 2006. "Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993," European Journal of Operational Research, Elsevier, vol. 174(1), pages 443-456, October.
    11. Smith, Jeremy & McKnight, Abigail & Naylor, Robin, 2000. "Graduate Employability: Policy and Performance in Higher Education in the UK," Economic Journal, Royal Economic Society, vol. 110(464), pages 382-411, June.
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    Cited by:

    1. Angela Stefania Bergantino & Claudia Capozza & Francesco Porcelli, 2015. "Hotelling competition and teaching efficiency of Italian university faculties. A semi-parametric analysis," Working papers 26, Società Italiana di Economia Pubblica.
    2. Eugénia de Matos Pedro & João Leitão & Helena Alves, 2021. "HEI Efficiency and Quality of Life: Seeding the Pro-Sustainability Efficiency," Sustainability, MDPI, vol. 13(2), pages 1-25, January.
    3. Calogero Guccio & Marco Ferdinando Martorana & Luisa Monaco, 2016. "Evaluating the impact of the Bologna Process on the efficiency convergence of Italian universities: a non-parametric frontier approach," Journal of Productivity Analysis, Springer, vol. 45(3), pages 275-298, June.

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    More about this item

    Keywords

    Technical efficiency – DEA – Second stage analysis;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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