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Efficiency Of Teaching And Research Activities In Romanian Universities: An Order – Alpha Partial Frontiers Approach

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  • Madalina STOICA
  • Anamaria ALDEA

    (Department of Economic Informatics and Cybernetics The Bucharest University of Economic Studies)

Abstract

Romanian universities are characterized by increasing teaching activities that are sometimes detrimental to the professors’ research activities due also to the lack of funding. The importance of evaluating universities efficiency rose in recent years to become one of the primary aims of universities management. This paper examines the universities managerial efficiency using nonparametric partial frontiers on empirical data regarding Romanian education system. We employ FDH and robust order α efficiency estimators in order to get a better insight in the data set outliers. Results are reported for two separate categories of universities according to their size analyzing research, teaching and overall efficiency estimates. Interesting insights regarding the trade-offs between teaching and research activities shows as an increased effort in the Romanian universities to increase their ranking by investing in the research area even with the reduce funding

Suggested Citation

  • Madalina STOICA & Anamaria ALDEA, 2016. "Efficiency Of Teaching And Research Activities In Romanian Universities: An Order – Alpha Partial Frontiers Approach," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(4), pages 169-186.
    • Handle: RePEc:cys:ecocyb:v:50:y:2016:i:4:p:169-186
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    References listed on IDEAS

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    1. Dominique Deprins & Léopold Simar & Henry Tulkens, 2006. "Measuring Labor-Efficiency in Post Offices," Springer Books, in: Parkash Chander & Jacques Drèze & C. Knox Lovell & Jack Mintz (ed.), Public goods, environmental externalities and fiscal competition, chapter 0, pages 285-309, Springer.
    2. Daouia, Abdelaati & Simar, Léopold, 2005. "Robust nonparametric estimators of monotone boundaries," Journal of Multivariate Analysis, Elsevier, vol. 96(2), pages 311-331, October.
    3. Aragon, Y. & Daouia, A. & Thomas-Agnan, C., 2005. "Nonparametric Frontier Estimation: A Conditional Quantile-Based Approach," Econometric Theory, Cambridge University Press, vol. 21(2), pages 358-389, April.
    4. Léopold Simar & Paul W. Wilson, 2015. "Statistical Approaches for Non-parametric Frontier Models: A Guided Tour," International Statistical Review, International Statistical Institute, vol. 83(1), pages 77-110, April.
    5. Simar, Léopold & Wilson, Paul W., 2013. "Estimation and Inference in Nonparametric Frontier Models: Recent Developments and Perspectives," Foundations and Trends(R) in Econometrics, now publishers, vol. 5(3–4), pages 183-337, June.
    6. Wheelock, David C. & Wilson, Paul W., 2009. "Robust Nonparametric Quantile Estimation of Efficiency and Productivity Change in U.S. Commercial Banking, 1985–2004," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(3), pages 354-368.
    7. Léopold Simar, 2003. "Detecting Outliers in Frontier Models: A Simple Approach," Journal of Productivity Analysis, Springer, vol. 20(3), pages 391-424, November.
    8. Andrea Bonaccorsi & Cinzia Daraio & Léopold Simar, 2006. "Advanced indicators of productivity of universitiesAn application of robust nonparametric methods to Italian data," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(2), pages 389-410, February.
    9. Wheelock, David C. & Wilson, Paul W., 2008. "Non-parametric, unconditional quantile estimation for efficiency analysis with an application to Federal Reserve check processing operations," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 209-225, July.
    10. Daouia, Abdelaati & Simar, Leopold, 2007. "Nonparametric efficiency analysis: A multivariate conditional quantile approach," Journal of Econometrics, Elsevier, vol. 140(2), pages 375-400, October.
    11. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
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    Cited by:

    1. Simona Gradinaru & Anamaria Aldea & Levida BESIR & Alexandru Coser, 2019. "A Non-Parametric Efficiency Perspective on the Research-Active European Universities Performance," Book chapters-LUMEN Proceedings, in: Camelia Ignatescu (ed.), 12th LUMEN International Scientific Conference Rethinking Social Action. Core Values in Practice | RSACVP 2019 | 15-17 May 2019 | Iasi – Romania, edition 1, volume 9, chapter 35, pages 371-385, Editura Lumen.
    2. Ghulam, Yaseen & Mousa, Wael I., 2019. "Estimation of productivity growth in the Saudi higher education sector," Technological Forecasting and Social Change, Elsevier, vol. 149(C).

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    More about this item

    Keywords

    FDH; nonparametric efficiency estimators; partial frontiers;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • I20 - Health, Education, and Welfare - - Education - - - General
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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