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Ranking and Clustering Australian University Research Performance, 1998-2002

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Abstract

This paper clusters and ranks the research performance of thirty-seven Australian universities over the period 1998-2002. Research performance is measured according to audited numbers of PhD completions, publications and grants (in accordance with rules established by the Department of Education, Science and Training) and analysed in both total and per academic staff terms. Hierarchical cluster analysis supports a binary division between fifteen higher and twenty-two lower-performing universities, with the specification in per academic staff terms identifying the self-designated research intensive "Group of Eight" (Go8) universities, plus several others in the better-performing group. Factor analysis indicates that the top-three research performers are the Universities of Melbourne, Sydney and Queensland in terms of total research performance and the Universities of Melbourne, Adelaide and Western Australia in per academic staff terms.

Suggested Citation

  • Valadkhani, Abbas & Worthington, Andrew, 2005. "Ranking and Clustering Australian University Research Performance, 1998-2002," Economics Working Papers wp05-19, School of Economics, University of Wollongong, NSW, Australia.
  • Handle: RePEc:uow:depec1:wp05-19
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    File URL: http://www.uow.edu.au/content/groups/public/@web/@commerce/@econ/documents/doc/uow012202.pdf
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    References listed on IDEAS

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    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. J. Glass & Donal McKillop & Gary O'Rourke, 1998. "A Cost Indirect Evaluation of Productivity Change in UK Universities," Journal of Productivity Analysis, Springer, vol. 10(2), pages 153-175, October.
    3. Keiji Hashimoto & Elchanan Cohn, 1997. "Economies of Scale and Scope in Japanese Private Universities," Education Economics, Taylor & Francis Journals, vol. 5(2), pages 107-115.
    4. 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.
    5. 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.
    6. Andrew Worthington, 2001. "An Empirical Survey of Frontier Efficiency Measurement Techniques in Education," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 245-268.
    7. Johnes, Jill & Johnes, Geraint, 1995. "Research funding and performance in U.K. University Departments of Economics: A frontier analysis," Economics of Education Review, Elsevier, vol. 14(3), pages 301-314, September.
    8. 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.
    9. Glenn Milligan, 1980. "An examination of the effect of six types of error perturbation on fifteen clustering algorithms," Psychometrika, Springer;The Psychometric Society, vol. 45(3), pages 325-342, September.
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    Cited by:

    1. Pol, Eduardo & Ville, Simon, 2009. "Social innovation: Buzz word or enduring term?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(6), pages 878-885, December.

    More about this item

    Keywords

    Higher education; hierarchical cluster analysis; research performance; factor analysis;

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • A19 - General Economics and Teaching - - General Economics - - - Other
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • I29 - Health, Education, and Welfare - - Education - - - Other

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