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Do university units differ in the efficiency of resource utilization?

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  • Daghbashyan, Zara

    () (CESIS - Centre of Excellence for Science and Innovation Studies, Royal Institute of Technology)

Abstract

The efficiency of universities is attracting increased interest, with most studies comparing the performance between different universities. However, the within-university variation is largely overlooked in the literature. Using data envelopment analysis this paper identifies heterogeneity in the performance of 47 units of a leading Swedish university (the Royal Institute of Technology) in terms of resource utilization. The findings suggest the following: First, three quarters of the units exhibit similar high performance. Second, the units are more efficient in using resources for research than for teaching. Third, efficiency in research is highly correlated with efficiency in teaching, implying a complementary relationship.

Suggested Citation

  • Daghbashyan, Zara, 2009. "Do university units differ in the efficiency of resource utilization?," Working Paper Series in Economics and Institutions of Innovation 176, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies, revised 17 Dec 2012.
  • Handle: RePEc:hhs:cesisp:0176
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    References listed on IDEAS

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    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. A Abigail Payne, 2001. "Do Congressional Earmarks Increase Research Output at Universities?," Public Economics 0111002, EconWPA.
    3. 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.
    4. repec:adr:anecst:y:1998:i:49-50:p:05 is not listed on IDEAS
    5. Bonaccorsi, Andrea & Daraio, Cinzia & Räty, Tarmo & Simar, Léopold, 2007. "Efficiency and University Size: Discipline-wise Evidence from European Universities," MPRA Paper 10265, University Library of Munich, Germany.
    6. Kalyan Chakraborty & Basudeb Biswas & W. Cris Lewis, 2001. "Measurement of Technical Efficiency in Public Education: A Stochastic and Nonstochastic Production Function Approach," Southern Economic Journal, Southern Economic Association, vol. 67(4), pages 889-905, April.
    7. 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.
    8. Daniel Felsenstein, 1996. "The University in the Metropolitan Arena: Impacts and Public Policy Implications," Urban Studies, Urban Studies Journal Limited, vol. 33(9), pages 1565-1580, November.
    9. 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.
    10. Nikias Sarafoglou & Kingsley E. Haynes, 1996. "University productivity in Sweden: a demonstration and explanatory analysis for economics and business programs," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 30(3), pages 285-304.
    11. M.L. McMillan, W. Chan, 2005. "University Efficiency: A Comparison of Results from Stochastic and Non-Stochastic Methods," Working Papers eg0040, Wilfrid Laurier University, Department of Economics, revised 2005.
    12. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
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    Cited by:

    1. BERBEGAL MIRABENT, Jasmina & SOLÉ PARELLADA, Francesc, 2012. "What Are We Measuring When Evaluating Universities’ Efficiency?," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 12(3).

    More about this item

    Keywords

    Technical and scale efficiency; Data envelopment analysis; universities;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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