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Measuring the Efficiency of Colleges at the University of Al-Qadisiyah-Iraq: A Data Envelopment Analysis Approach

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  • Drebee, Hayder Abbas

    (College of Administration and Economics University of Al-Qadisiyah Al-Diwaniyah Iraq)

  • Abdul Razak, Nor Azam

    (School of Economics, Finance and Banking University Utara Malaysia 06010 UUM Sintok Kedah Malaysia)

Abstract

This study aims at measuring the efficiency of the colleges at University of Al-Qadisiyah for the academic year 2015-2016. Data Envelopment Analysis (DEA) was employed with alternative models, namely, CRS-I, CRS-O, VRS-I, and VRS-O. The number of enrolled students, lecturers, employees, and teaching assistants were used as inputs, while the number of students with bachelor’s degree and published research in national and international journals were used as outputs. The results indicate that 58% of the colleges reached their optimum economic size according to the efficiency scale since these colleges reached full efficiency. The college of Nursing is a peer college for inefficient colleges. To achieve full efficiency, there must be either significant reductions in their inputs with the same amount of output (input oriented) or significant increases in output retaining the current amount of inputs (output oriented). In general, the efficiency score of University of Al-Qadisiyah indicated the possibility of reducing its available resources by 10% retaining the current amount of output to be efficient, or expanding the University’s output by 1% retaining the current amount of inputs. Therefore, it is imperative that the decision makers at the University of Al-Qadisiyah and its colleges that have not achieved the required efficiency examine the factors that have contributed to this outcome in order to acquire knowledge of weaknesses and imbalances in their inputs and outputs. They could exploit the available resources efficiently by comparing their inputs and outputs with those of peer colleges.

Suggested Citation

  • Drebee, Hayder Abbas & Abdul Razak, Nor Azam, 2018. "Measuring the Efficiency of Colleges at the University of Al-Qadisiyah-Iraq: A Data Envelopment Analysis Approach," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 52(3), pages 153-166.
  • Handle: RePEc:ukm:jlekon:v:52:y:2018:i:3:p:153-166
    DOI: http://dx.doi.org/10.17576/JEM-2018-5203-12
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    as
    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. A. Charnes & W. W. Cooper & E. Rhodes, 1981. "Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through," Management Science, INFORMS, vol. 27(6), pages 668-697, June.
    3. Izadi, Hooshang & Johnes, Geraint & Oskrochi, Reza & Crouchley, Robert, 2002. "Stochastic frontier estimation of a CES cost function: the case of higher education in Britain," Economics of Education Review, Elsevier, vol. 21(1), pages 63-71, February.
    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. Amir Arjomandi & Mad Ithnin Salleh & Abbas Mohammadzadeh, 2015. "Measuring productivity change in higher education: an application of Hicks–Moorsteen total factor productivity index to Malaysian public universities," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 20(4), pages 630-643, October.
    6. Avkiran, Necmi K., 2001. "Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 35(1), pages 57-80, March.
    7. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107.
    8. Kokkelenberg, Edward C. & Dillon, Michael & Christy, Sean M., 2008. "The effects of class size on student grades at a public university," Economics of Education Review, Elsevier, vol. 27(2), pages 221-233, April.
    9. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    10. Kao, Chiang & Hung, Hsi-Tai, 2008. "Efficiency analysis of university departments: An empirical study," Omega, Elsevier, vol. 36(4), pages 653-664, August.
    11. Ariyaratne, Chatura B. & Featherstone, Allen M. & Langemeier, Michael R. & Barton, David G., 2000. "Measuring X-Efficiency And Scale Efficiency For A Sample Of Agricultural Cooperatives," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 29(2), pages 1-10, October.
    12. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    13. Melville McMillan & Wing Chan, 2006. "University Efficiency: A Comparison and Consolidation of Results from Stochastic and Non-stochastic Methods," Education Economics, Taylor & Francis Journals, vol. 14(1), pages 1-30.
    14. Colbert, Amy & Levary, Reuven R. & Shaner, Michael C., 2000. "Determining the relative efficiency of MBA programs using DEA," European Journal of Operational Research, Elsevier, vol. 125(3), pages 656-669, September.
    15. Charnes, A. & Cooper, W. W. & Seiford, L. & Stutz, J., 1982. "A multiplicative model for efficiency analysis," Socio-Economic Planning Sciences, Elsevier, vol. 16(5), pages 223-224.
    16. António Afonso & Mariana Santos, 2005. "Students and Teachers: A DEA Approach to the Relative Efficiency of Portuguese Public Universities," Working Papers Department of Economics 2005/07, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    17. Brenda Gannon, 2005. "Testing for Variation in Technical Efficiency of Hospitals in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 36(3), pages 273-294.
    18. Abbott, M. & Doucouliagos, C., 2003. "The efficiency of Australian universities: a data envelopment analysis," Economics of Education Review, Elsevier, vol. 22(1), pages 89-97, February.
    19. Fandel, Gunter, 2007. "On the performance of universities in North Rhine-Westphalia, Germany: Government's redistribution of funds judged using DEA efficiency measures," European Journal of Operational Research, Elsevier, vol. 176(1), pages 521-533, January.
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