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

Research output: Contribution to journalArticle

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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.

LanguageEnglish
Pages679-696
Number of pages18
JournalChina Economic Review
Volume19
Issue number4
Early online date14 Sep 2008
DOIs
Publication statusPublished - 1 Dec 2008
Externally publishedYes

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Higher education institutions
Research performance
Data envelopment analysis
Staff
Resources
Relative efficiency
Mergers
Productivity
Ranking
Coast
China

Cite this

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Measuring the research performance of Chinese higher education institutions using data envelopment analysis. / JOHNES, Jill; YU, Li.

In: China Economic Review, Vol. 19, No. 4, 01.12.2008, p. 679-696.

Research output: Contribution to journalArticle

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