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Performance Differences in German Higher Education: Empirical Analysis of Strategic Groups

  • Susanne Warning

    ()

    (Department of Economics, University of Konstanz)

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    Initial investments and different strategic actions of universities lead to their different positions in the higher education sector. Pursuing similar strategies leads to similar positions that influence structure and performance within the system. Institutions cannot only choose to focus on research or on teaching, but also to focus either on natural sciences or social sciences. Using 73 public universities in Germany, this paper examines the existence of strategic groups based on performance. Common strategic variables only partly determine performance in high and low efficiency groups.

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    Paper provided by Research Group Heterogeneous Labor, University of Konstanz/ZEW Mannheim in its series Working Papers of the Research Group Heterogenous Labor with number 04-09.

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    Length: 34 pages
    Date of creation: 08 Mar 2004
    Date of revision:
    Handle: RePEc:knz:hetero:0409
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    Web page: http://www.uni-konstanz.de/forschergruppewiwi

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    1. Jerry G. Thursby, 2000. "What Do We Say about Ourselves and What Does It Mean? Yet Another Look at Economics Department Research," Journal of Economic Literature, American Economic Association, vol. 38(2), pages 383-404, June.
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    3. G. Johnes & J. Johnes, . "Measuring the Research Performance of UK Economics Departments: An Application of Data Envelopment Analysis," Working Papers ec17/90, Department of Economics, University of Lancaster.
    4. 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.
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    6. Eduardo González-Fidalgo & Juan Ventura-Victoria, 2002. "How Much Do Strategic Groups Matter?," Review of Industrial Organization, Springer, vol. 21(1), pages 55-71, August.
    7. 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.
    8. 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.
    9. 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.
    10. Kalaitzidakis, Pantelis & Mamuneas, Theofanis P. & Stengos, Thanasis, 1999. "European economics: An analysis based on publications in the core journals," European Economic Review, Elsevier, vol. 43(4-6), pages 1150-1168, April.
    11. Caves, R E & Porter, M E, 1977. "From Entry Barriers to Mobility Barriers: Conjectural Decisions and Contrived Deterrence to New Competition," The Quarterly Journal of Economics, MIT Press, vol. 91(2), pages 241-61, May.
    12. Audretsch, David B & Lehmann, Erik E & Warning, Susanne, 2003. "University Spillovers: Strategic Location and New Firm Performance," CEPR Discussion Papers 3837, C.E.P.R. Discussion Papers.
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