Measuring the research performance of Chinese higher education institutions using data envelopment analysis
This study uses data envelopment analysis (DEA) to examine the relative efficiency of over 100 selected Chinese regular universities. Various models are developed to measure the research efficiency of these higher education institutions (HEIs) using data for 2003 and 2004. The findings show that the level of efficiency depends on whether or not a subjective measure of research output (based on expertsâ€™ opinions of the HEIs) is included as an output in the model. Mean efficiency is higher when the reputation variable is included (around 90%) than when it is not (mean efficiency is around 55% in this case). However, the rankings of the universities are remarkably insensitive to whether or not this variable is included. Bootstrapping procedures are used to find the 95% confidence intervals for the efficiencies, and indicate that the best and worst performing institutions are significantly different from each other; only the middle-performing 30% of HEIs cannot be distinguished from each other in terms of their performance. Further investigation suggests that regional location, source of funding and whether the university is comprehensive or specialist may all contribute to the observed differences in performance. The regional differences are consistent but not significant at conventional levels of significance; the efficiencies differ significantly by administrative type when the subjective measure of research output is excluded from the analysis; comprehensive universities consistently and significantly outperform specialist institutions. The possibility of regional differences in performance is particularly worrying since the already economically disadvantaged Western region may suffer a continued lag in development if its HEIs are less efficient than those in the better developed Central and coastal regions.
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- Simar, L. & Wilson, P.W., 1999.
"Performance of the Bootstrap for DEA Estimators and Iterating the Principle,"
0002, Catholique de Louvain - Institut de statistique.
- Simar, L. & Wilson, P.W., 2000. "Performance of the Bootstrap for DEA Estimators and Iterating the Principle," Papers 2, Catholique de Louvain - Institut de statistique.
- Beasley, J. E., 1990. "Comparing university departments," Omega, Elsevier, vol. 18(2), pages 171-183.
- Gary Madden & Scott Savage & Steven Kemp, 1997. "Measuring Public Sector Efficiency: A Study of Economics Departments at Australian Universities," Education Economics, Taylor & Francis Journals, vol. 5(2), pages 153-168.
- Martin G. Kocher & Mikulas Luptacik & Matthias Sutter, 2001.
"Measuring Productivity of Research in Economics. A Cross-Country Study Using DEA,"
Department of Economics Working Papers
wuwp077, Vienna University of Economics and Business, Department of Economics.
- Kocher, Martin G. & Luptacik, Mikulas & Sutter, Matthias, 2006. "Measuring productivity of research in economics: A cross-country study using DEA," Socio-Economic Planning Sciences, Elsevier, vol. 40(4), pages 314-332, December.
- Kocher, Martin G. & Luptácik, Mikulás & Sutter, Matthias, 2006. "Measuring productivity of research in economics: A cross-country study using DEA," Munich Reprints in Economics 18192, University of Munich, Department of Economics.
- Anselin, Luc & Varga, Attila & Acs, Zoltan, 1997. "Local Geographic Spillovers between University Research and High Technology Innovations," Journal of Urban Economics, Elsevier, vol. 42(3), pages 422-448, November.
- John Robst, 2000. "Do state appropriations influence cost efficiency in public higher education?," Applied Economics Letters, Taylor & Francis Journals, vol. 7(11), pages 715-719.
- El-Mahgary, Sami & Lahdelma, Risto, 1995. "Data envelopment analysis: Visualizing the results," European Journal of Operational Research, Elsevier, vol. 83(3), pages 700-710, June.
- Luc Anselin, 2000. "Geographical Spillovers and University Research: A Spatial EconometricPerspective," Growth and Change, Wiley Blackwell, vol. 31(4), pages 501-515.
- Korhonen, Pekka & Tainio, Risto & Wallenius, Jyrki, 2001.
"Value efficiency analysis of academic research,"
European Journal of Operational Research,
Elsevier, vol. 130(1), pages 121-132, April.
- Manfred M. Fischer & Attila Varga, 2003. "Spatial knowledge spillovers and university research: Evidence from Austria," The Annals of Regional Science, Springer, vol. 37(2), pages 303-322, 05.
- Andr�s Rodr�guez-Pose & Maria Cristina Refolo, 2003. "The link between local production systems and public and university research in Italy," Environment and Planning A, Pion Ltd, London, vol. 35(8), pages 1477-1492, August.
- Audretsch, David B. & Lehmann, Erik E. & Warning, Susanne, 2005.
"University spillovers and new firm location,"
Elsevier, vol. 34(7), pages 1113-1122, September.
- David B. Audretsch & Erik E. Lehmann & Susanne Warning, 2004. "University Spillovers and New Firm Location," Papers on Entrepreneurship, Growth and Public Policy 2004-02, Max Planck Institute of Economics, Entrepreneurship, Growth and Public Policy Group.
- David Audretsch & Erik Lehmann & Susanne Warning, 2004. "University Spillovers and New Firm Location," Working Papers of the Research Group Heterogenous Labor 04-13, Research Group Heterogeneous Labor, University of Konstanz/ZEW Mannheim.
- G. Johnes & J. Johnes, .
"Measuring the Research Performance of UK Economics Departments: An Application of Data Envelopment Analysis,"
ec17/90, Department of Economics, University of Lancaster.
- 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 332-47, April.
- Johnes, Jill, 2006. "Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993," European Journal of Operational Research, Elsevier, vol. 174(1), pages 443-456, October.
- Haksever Cengiz & Muragishi Yuki, 1998. "Measuring Value in MBA Programmes," Education Economics, Taylor & Francis Journals, vol. 6(1), pages 11-25.
- 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.
- 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.
- 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.
- 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.
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