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

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  • Sourour Ramzi

    (University of Tunis, Tunisia)

  • Mohamed Ayadi

    (University of Tunis, Tunisia)

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.

Suggested Citation

  • Sourour Ramzi & Mohamed Ayadi, 2016. "Assessment of Universities Efficiency Using Data Envelopment Analysis: Weights Restrictions and Super-Efficiency Measure," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 5(1), pages 40-58, February.
    • Handle: RePEc:ods:journl:v:5:y:2016:i:1:p:40-58
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    3. Mihir Dash, 2020. "Firm-Level Determinants of Cost Structure of the Indian Sugar Industry," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 9(2), pages 55-62, June.
    4. Sourour Ramzi, 2019. "Modeling the Education Supply Chain with Network DEA Model: The Case of Tunisia," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(3), pages 525-540, September.
    5. Anatoliy G. Goncharuk, 2016. "Evaluating the Efficiency of Higher Education," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 5(2), pages 82-91, May.
    6. Delimiro Visbal-Cadavid & Mónica Martínez-Gómez & Francisco Guijarro, 2017. "Assessing the Efficiency of Public Universities through DEA. A Case Study," Sustainability, MDPI, vol. 9(8), pages 1-19, August.
    7. Horobets, T. A., 2019. "Value-Added Approach to the SMEs' Performance Measurement," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 8(4), pages 182-188, December.
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    11. Yahia, F.B. & Essid, H., 2019. "Determinants of Tunisian Schools’ Efficiency: A DEA-Tobit Approach," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 8(1), pages 44-56, February.

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