Ranking and Clustering Australian University Research Performance, 1998-2002
AbstractThis 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.
Download InfoIf 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.
Bibliographic InfoPaper provided by School of Economics, University of Wollongong, NSW, Australia in its series Economics Working Papers with number wp05-19.
Length: 19 pages
Date of creation: 2005
Date of revision:
Contact details of provider:
Postal: School of Economics, University of Wollongong, Northfields Avenue, Wollongong NSW 2522 Australia
Phone: +612 4221-3659
Fax: +612 4221-3725
Web page: http://business.uow.edu.au/econ/index.html
More information through EDIRC
Higher education; hierarchical cluster analysis; research performance; factor analysis;
Find related papers by 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
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-11-09 (All new papers)
- NEP-EDU-2005-11-09 (Education)
- NEP-HPE-2005-11-09 (History & Philosophy of Economics)
- NEP-SOG-2005-11-09 (Sociology of Economics)
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.:
- Johnes, Geraint, 1988. "Determinants of research output in economics departments in British universities," Research Policy, Elsevier, vol. 17(3), pages 171-178, June.
- 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.
- Malcolm Abbot & Hristos Doucouliagos, 2003.
"Research Output of Australian Universities,"
2003_04, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
- 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.
- 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.
- 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.
- Andrew Worthington, 2001. "An Empirical Survey of Frontier Efficiency Measurement Techniques in Education," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 245-268.
- Glenn Milligan, 1980. "An examination of the effect of six types of error perturbation on fifteen clustering algorithms," Psychometrika, Springer, vol. 45(3), pages 325-342, September.
- 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.
- 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.
- Boon L. Lee, 2011. "Efficiency of Research Performance of Australian Universities: A Reappraisal using a Bootstrap Truncated Regression Approach," Economic Analysis and Policy (EAP), Queensland University of Technology (QUT), School of Economics and Finance, vol. 41(3), pages 195-204, December.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Peter Siminski).
If references are entirely missing, you can add them using this form.