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Measuring the research performance of Chinese higher education institutions using data envelopment analysis

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  • Johnes, Jill
  • Yu, Li

Abstract

This study uses data envelopment analysis (DEA) to examine the relative efficiency in the production of research of 109 Chinese regular universities in 2003 and 2004. Output variables measure the impact and productivity of research; input variables reflect staff, students, capital and resources. Mean efficiency is just over 90% when all input and output variables are included in the model, and this falls to just over 80% when student-related input variables are excluded from the model. The rankings of the universities across models and time periods are highly significantly correlated. Further investigation suggests that mean research efficiency is higher in comprehensive universities compared to specialist universities, and in universities located in the coastal region compared to those in the western region of China. The former result offers support for the recent merger activity which has taken place in Chinese higher education.

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Bibliographic Info

Article provided by Elsevier in its journal China Economic Review.

Volume (Year): 19 (2008)
Issue (Month): 4 (December)
Pages: 679-696

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Handle: RePEc:eee:chieco:v:19:y:2008:i:4:p:679-696

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Web page: http://www.elsevier.com/locate/chieco

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Keywords: Data envelopment analysis Efficiency measurement Chinese higher education;

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Cited by:
  1. Zhang, Daqun & Banker, Rajiv D. & Li, Xiaoxuan & Liu, Wenbin, 2011. "Performance impact of research policy at the Chinese Academy of Sciences," Research Policy, Elsevier, vol. 40(6), pages 875-885, July.
  2. 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.
  3. 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 & Greg (ed.), Investigaciones de Economía de la Educación 5, edition 1, volume 5, chapter 36, pages 703-732 Asociación de Economía de la Educación.
  4. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "A survey of DEA applications," Omega, Elsevier, vol. 41(5), pages 893-902.
  5. Mariana Cunha & Vera Rocha, 2012. "On the Efficiency of Public Higher Education Institutions in Portugal: An Exploratory Study," FEP Working Papers 468, Universidade do Porto, Faculdade de Economia do Porto.
  6. Tzeremes, Nickolaos & Halkos, George, 2010. "A DEA approach for measuring university departments’ efficiency," MPRA Paper 24029, University Library of Munich, Germany.
  7. George E. Halkos & Nickolaos G. Tzeremes & Stavros A. Kourtzidis, 2010. "An application of statistical interference in DEA models: An analysis of public owned university departments' efficiency," EERI Research Paper Series EERI_RP_2010_17, Economics and Econometrics Research Institute (EERI), Brussels.

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