IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

A DEA approach for measuring university departments’ efficiency

Listed author(s):
  • Tzeremes, Nickolaos
  • Halkos, George

This paper uses Data Envelopment Analysis (DEA) in order to determine the performance levels of 16 departments of a public owned university. Particularly, the constant returns to scale (CRS) and variable returns to scale (VRS) models have been applied alongside with bootstrap techniques in order to determine accurate performance estimates. The study illustrates how the recent developments in efficiency analysis and statistical inference can be applied when evaluating institutional performance issues. The results reveal the existence of misallocation of resources or/and inefficient application of departments’ policy development.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: https://mpra.ub.uni-muenchen.de/24029/1/MPRA_paper_24029.pdf
File Function: original version
Download Restriction: no

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 24029.

as
in new window

Length:
Date of creation: 2010
Handle: RePEc:pra:mprapa:24029
Contact details of provider: Postal:
Ludwigstraße 33, D-80539 Munich, Germany

Phone: +49-(0)89-2180-2459
Fax: +49-(0)89-2180-992459
Web page: https://mpra.ub.uni-muenchen.de

More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as
in new window


  1. Johnes, Geraint, 1988. "Determinants of research output in economics departments in British universities," Research Policy, Elsevier, vol. 17(3), pages 171-178, June.
  2. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
  3. Johnes, Jill & Yu, Li, 2008. "Measuring the research performance of Chinese higher education institutions using data envelopment analysis," China Economic Review, Elsevier, vol. 19(4), pages 679-696, December.
  4. 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.
  5. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
  6. Johnes, Jill, 1996. "Performance assessment in higher education in Britain," European Journal of Operational Research, Elsevier, vol. 89(1), pages 18-33, February.
  7. Lindsay, Cotton M, 1976. "A Theory of Government Enterprise," Journal of Political Economy, University of Chicago Press, vol. 84(5), pages 1061-1077, October.
  8. Antreas Athanassopoulos & Estelle Shale, 1997. "Assessing the Comparative Efficiency of Higher Education Institutions in the UK by the Means of Data Envelopment Analysis," Education Economics, Taylor & Francis Journals, vol. 5(2), pages 117-134.
  9. 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.
  10. Jill Johnes, 2006. "Measuring Efficiency: A Comparison of Multilevel Modelling and Data Envelopment Analysis in the Context of Higher Education," Bulletin of Economic Research, Wiley Blackwell, vol. 58(2), pages 75-104, April.
  11. Moed, H. F. & Burger, W. J. M. & Frankfort, J. G. & Van Raan, A. F. J., 1985. "The use of bibliometric data for the measurement of university research performance," Research Policy, Elsevier, vol. 14(3), pages 131-149, June.
  12. Colin Glass, J. & McCallion, Gillian & McKillop, Donal G. & Rasaratnam, Syamarlah & Stringer, Karl S., 2006. "Implications of variant efficiency measures for policy evaluations in UK higher education," Socio-Economic Planning Sciences, Elsevier, vol. 40(2), pages 119-142, June.
  13. 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.
  14. Verry, D W & Layard, P R G, 1975. "Cost Functions for University Teaching and Research," Economic Journal, Royal Economic Society, vol. 85(337), pages 55-74, March.
  15. Banker, Rajiv D., 1984. "Estimating most productive scale size using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 17(1), pages 35-44, July.
  16. Rajiv D. Banker & Robert F. Conrad & Robert P. Strauss, 1986. "A Comparative Application of Data Envelopment Analysis and Translog Methods: An Illustrative Study of Hospital Production," Management Science, INFORMS, vol. 32(1), pages 30-44, January.
  17. Kao, Chiang & Hung, Hsi-Tai, 2008. "Efficiency analysis of university departments: An empirical study," Omega, Elsevier, vol. 36(4), pages 653-664, August.
  18. Graves, Philip E & Marchand, James R & Thompson, Randal, 1982. "Economics Departmental Rankings: Research Incentives, Constraints, and Efficiency," American Economic Review, American Economic Association, vol. 72(5), pages 1131-1141, December.
  19. Hirsch, Barry T, et al, 1984. "Economics Departmental Rankings: Comment [Economics Departmental Rankings: Research Incentives, Constraints, and Efficiency]," American Economic Review, American Economic Association, vol. 74(4), pages 822-826, September.
  20. 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.
  21. Ying Chu Ng & Sung Ko Li, 2000. "Measuring the Research Performance of Chinese Higher Education Institutions: An Application of Data Envelopment Analysis," Education Economics, Taylor & Francis Journals, vol. 8(2), pages 139-156.
  22. George Halkos & Nickolaos Tzeremes, 2010. "The effect of foreign ownership on SMEs performance: An efficiency analysis perspective," Journal of Productivity Analysis, Springer, vol. 34(2), pages 167-180, October.
  23. 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.
  24. Simar, Leopold & Wilson, Paul W., 1999. "Estimating and bootstrapping Malmquist indices," European Journal of Operational Research, Elsevier, vol. 115(3), pages 459-471, June.
  25. Cohn, Elchanan & Rhine, Sherrie L W & Santos, Maria C, 1989. "Institutions of Higher Education as Multi-product Firms: Economies of Scale and Scope," The Review of Economics and Statistics, MIT Press, vol. 71(2), pages 284-290, May.
  26. King, William D., 1997. "Input and output substitution in higher education," Economics Letters, Elsevier, vol. 57(1), pages 107-111, November.
  27. Beasley, J. E., 1990. "Comparing university departments," Omega, Elsevier, vol. 18(2), pages 171-183.
  28. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
  29. Andrew Worthington, 2001. "An Empirical Survey of Frontier Efficiency Measurement Techniques in Education," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 245-268.
  30. Caballero, Rafael & Galache, Teodoro & Gomez, Trinidad & Molina, Julian & Torrico, Angel, 2004. "Budgetary allocations and efficiency in the human resources policy of a university following multiple criteria," Economics of Education Review, Elsevier, vol. 23(1), pages 67-74, February.
  31. Gary Madden & Scott Savage & Steven Kemp, 1997. "Measuring Public Sector Efficiency: A Study of Economics Departments at Australian Universities," Education Economics, Taylor & Francis Journals, vol. 5(2), pages 153-168.
  32. Tommaso Agasisti & Geraint Johnes, 2010. "Heterogeneity and the evaluation of efficiency: the case of Italian universities," Applied Economics, Taylor & Francis Journals, vol. 42(11), pages 1365-1375.
  33. Loren Tauer & Harold Fried & William Fry, 2007. "Measuring Efficiencies of Academic Departments within a College," Education Economics, Taylor & Francis Journals, vol. 15(4), pages 473-489.
  34. Johnes, Geraint, 1997. "Costs and Industrial Structure in Contemporary British Higher Education," Economic Journal, Royal Economic Society, vol. 107(442), pages 727-737, May.
  35. Simar, Leopold & Wilson, Paul W., 2002. "Non-parametric tests of returns to scale," European Journal of Operational Research, Elsevier, vol. 139(1), pages 115-132, May.
  36. Glass, J C & McKillop, Donal G & Hyndman, N, 1995. "Efficiency in the Provision of University Teaching and Research: An Empirical Analysis of UK Universities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(1), pages 61-72, Jan.-Marc.
  37. de Groot, Hans & McMahon, Walter W & Volkwein, J Fredericks, 1991. "The Cost Structure of American Research Universities," The Review of Economics and Statistics, MIT Press, vol. 73(3), pages 424-431, August.
  38. 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.
  39. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
  40. A. T. Flegg & D. O. Allen & K. Field & T. W. Thurlow, 2004. "Measuring the efficiency of British universities: a multi-period data envelopment analysis," Education Economics, Taylor & Francis Journals, vol. 12(3), pages 231-249.
  41. Ahn, Taesik & Charnes, Abraham & Cooper, William W., 1988. "Some statistical and DEA evaluations of relative efficiencies of public and private institutions of higher learning," Socio-Economic Planning Sciences, Elsevier, vol. 22(6), pages 259-269.
  42. 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.
  43. Roger Carrington & Tim Coelli & D. S. Prasada Rao, 2005. "The Performance Of Australian Universities: Conceptual Issues And Preliminary Results," Economic Papers, The Economic Society of Australia, vol. 24(2), pages 145-163, June.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:24029. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.