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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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    5. 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.
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    7. 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.
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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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