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Assessment of Universities Efficiency Using Data Envelopment Analysis: Weights Restrictions and Super-Efficiency Measure

Sourour Ramzi and Mohamed Ayadi
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Sourour Ramzi: University of Tunis, Tunisia
Mohamed Ayadi: University of Tunis, Tunisia

Journal of Applied Management and Investments, 2016, vol. 5, issue 1, 40-58

Abstract: Higher education represents the spine of development and economic performance in any country. Evaluating the efficiency of this sector is necessary to detect its insufficiency and to develop strategies and policies to improve its productivity. In this paper we evaluate the efficiency of 11 public Universities in Tunisia in 2009, 2012 and 2013 using two fields of DEA development: weights restrictions and super-efficiency measure. We use two input variables: the number of students enrolled in Letter and human sciences and the number of students enrolled in Computer sciences, media and telecom. The two outputs describing research and teaching activities within universities are the number of research units and laboratories and the number of graduates from Fundamental and Applied License respectively. The results show that the application of DEA model with weights restrictions in the sub-sector of higher education increases the discrimination of efficiency results. The super-efficiency measure reveals its usefulness in the ranking of efficient DMUs by attributing to them efficiency scores greater than one.

Keywords: higher education; weights restrictions; super-efficiency measure; non-parametric approach; DEA; Tunisia (search for similar items in EconPapers)
Date: 2016
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