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Competing in the Higher Education Market: Empirical Evidence for Economies of Scale and Scope in German Higher Education Institutions

Author

Listed:
  • Maria Olivares

    (University of Zurich, Department of Business Administration)

  • Heike Wetzel

    (University of Cologne, Institute of Energy Economics)

Abstract

Since the late 1990s, the European higher education system has had to face deep structural changes. With the public authorities seeking to create an environment of quasi-markets in the higher education sector, the increased competition induced by recent reforms has pushed all publicly financed higher education institutions to use their resources more efficiently. Higher education institutions increasingly now aim at differentiating themselves from their competitors in terms of the range of outputs they produce. Assuming that different market positioning strategies will have different effects on the performance of higher education institutions, this paper explores the existence of economies of scale and scope in the German higher education sector. Using an input-oriented distance function approach, we estimate the economies of scale and scope and the technical efficiency for 154 German higher education institutions from 2001 through 2007. Our results suggest that comprehensive universities should indeed orientate their activities to the concept of a full-university that combines teaching and research activities across a broad range of subjects. In contrast, praxis-oriented small and medium-sized universities of applied sciences should specialise in the teaching and research activities they conduct.

Suggested Citation

  • Maria Olivares & Heike Wetzel, 2011. "Competing in the Higher Education Market: Empirical Evidence for Economies of Scale and Scope in German Higher Education Institutions," Economics of Education Working Paper Series 0070, University of Zurich, Department of Business Administration (IBW).
  • Handle: RePEc:iso:educat:0070
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    References listed on IDEAS

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    1. van den Broeck, Julien & Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1994. "Stochastic frontier models : A Bayesian perspective," Journal of Econometrics, Elsevier, vol. 61(2), pages 273-303, April.
    2. Koshal, Rajindar K. & Koshal, Manjulika, 1999. "Economies of scale and scope in higher education: a case of comprehensive universities," Economics of Education Review, Elsevier, vol. 18(2), pages 269-277, April.
    3. Alexandra Schmidt & Ajax Moreira & Steven Helfand & Thais Fonseca, 2009. "Spatial stochastic frontier models: accounting for unobserved local determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 31(2), pages 101-112, April.
    4. Schubert, Torben, 2009. "Empirical observations on New Public Management to increase efficiency in public research--Boon or bane?," Research Policy, Elsevier, vol. 38(8), pages 1225-1234, October.
    5. 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.
    6. Jim Griffin & Mark Steel, 2007. "Bayesian stochastic frontier analysis using WinBUGS," Journal of Productivity Analysis, Springer, vol. 27(3), pages 163-176, June.
    7. 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.
    8. Johnes, Geraint, 1997. "Costs and Industrial Structure in Contemporary British Higher Education," Economic Journal, Royal Economic Society, vol. 107(442), pages 727-737, May.
    9. Philippe K Widmer & Peter Zweifel & Mehdi Farsi, 2010. "Accounting For Heterogeneity In The Measurement of Hospital Performance," Economics Discussion / Working Papers 10-21, The University of Western Australia, Department of Economics.
    10. Hajargasht, Gholamreza & Coelli, Tim & Rao, D.S. Prasada, 2008. "A dual measure of economies of scope," Economics Letters, Elsevier, vol. 100(2), pages 185-188, August.
    11. David N. Laband & Bernard F. Lentz, 2003. "New Estimates of Economies of Scale and Scope in Higher Education," Southern Economic Journal, John Wiley & Sons, vol. 70(1), pages 172-183, July.
    12. 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.
    13. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
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    More about this item

    Keywords

    Higher Education Production; Economies of Scale and Scope; Technical Efficiency; Stochastic Frontier Analysis; Input Distance Function;
    All these keywords.

    JEL classification:

    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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