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Measuring the Research Performance of Chinese Higher Education Institutions: An Application of Data Envelopment Analysis

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  • Ying Chu Ng
  • Sung Ko Li

Abstract

Utilizing data from 84 key Chinese higher education institutions, the present study attempts to examine the effectiveness of the Education Reform implemented in the mid-1980s in China. With focus on the research performance of the institutions, individual institution efficiency is computed by the method of data envelopment analysis. Regional differences in the efficiency of institutions are also addressed. It is found that research performance of institutions across regions has improved, although the institutions as a whole have remained inefficient from 1993 to 1995. Institutions located in the East region turn out to have out-performed those in the Central and the West regions. In addition, the decomposition of the group efficiency measure indicates that, for the 3 years under study, the 84 key institutions suffered from technical, allocative and reallocative inefficiency.

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  • 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.
    • Handle: RePEc:taf:edecon:v:8:y:2000:i:2:p:139-156
    DOI: 10.1080/096452900410712
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    2. Erik E. Lehmann & Michele Meoli & Stefano Paleari & Sarah A. E. Stockinger, 2018. "Approaching effects of the economic crisis on university efficiency: a comparative study of Germany and Italy," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(1), pages 37-54, March.
    3. Mingming Jiang, 2012. "On the Performance of Foreign Direct Investment in China: 1981-2004," Economics Bulletin, AccessEcon, vol. 32(4), pages 3320-3332.
    4. Angel García Correas & Manuel Larran Jorge, 2010. "Análisis de diferentes medidas de la eficiencia investigadora y factores explicativos en las universidades públicas españolas," Investigaciones de Economía de la Educación volume 5, in: María Jesús Mancebón-Torrubia & Domingo P. Ximénez-de-Embún & José María Gómez-Sancho & Gregorio Gim (ed.), Investigaciones de Economía de la Educación 5, edition 1, volume 5, chapter 36, pages 703-732, Asociación de Economía de la Educación.
    5. Lehmann, Erik & Warning, Susanne, 2002. "Teaching or research? What affects the efficiency of universities," Discussion Papers, Series I 322, University of Konstanz, Department of Economics.
    6. Lu, Wen-Min, 2012. "Intellectual capital and university performance in Taiwan," Economic Modelling, Elsevier, vol. 29(4), pages 1081-1089.
    7. Amir Arjomandi & Mad Ithnin Salleh & Abbas Mohammadzadeh, 2015. "Measuring productivity change in higher education: an application of Hicks–Moorsteen total factor productivity index to Malaysian public universities," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 20(4), pages 630-643, October.
    8. Ville, Simon & Valadkhani, Abbas & O'Brien, Martin, 2005. "The Distribution of Research Performance Across Australian Universities, 1992-2003, and Its Implications for Higher Education Funding Models," Economics Working Papers wp05-26, School of Economics, University of Wollongong, NSW, Australia.
    9. Sunil Kumar Jauhar & Millie Pant & Richa Dutt, 2018. "Performance measurement of an Indian higher education institute: a sustainable educational supply chain management perspective," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(1), pages 180-193, February.
    10. Johnes, Jill & Yu, Li, 2008. "Measuring the research performance of Chinese higher education institutions using data envelopment analysis," China Economic Review, Elsevier, vol. 19(4), pages 679-696, December.
    11. Tzeremes, Nickolaos & Halkos, George, 2010. "A DEA approach for measuring university departments’ efficiency," MPRA Paper 24029, University Library of Munich, Germany.
    12. Guangchao Charles Feng, 2020. "Research Performance Evaluation in China: A Big Data Analysis," SAGE Open, , vol. 10(1), pages 21582440199, January.
    13. Zhang, Han & Patton, Donald & Kenney, Martin, 2013. "Building global-class universities: Assessing the impact of the 985 Project," Research Policy, Elsevier, vol. 42(3), pages 765-775.
    14. 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.
    15. Sanjeet Singh & Prabhat Ranjan, 2018. "Efficiency analysis of non-homogeneous parallel sub-unit systems for the performance measurement of higher education," Annals of Operations Research, Springer, vol. 269(1), pages 641-666, October.
    16. Renato A. Villano & Carolyn‐Dung T. T. Tran, 2021. "Survey on technical efficiency in higher education: A meta‐fractional regression analysis," Pacific Economic Review, Wiley Blackwell, vol. 26(1), pages 110-135, February.
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    18. Martín Rivero, Raquel, 2007. "La eficiencia productiva en el ámbito universitario: aspectos claves para su evaluación/The Productive Efficiency in the University: Key Aspects for its Evaluation," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 25, pages 793-812, Diciembre.

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