The Relative Efficiencies of Research Universities of Science and Technology in China: Based on the Data Envelopment Analysis and Stochastic Frontier Analysis
Wang Chuanyi 1, Lv Xiaohong 1, Zhao Shikui 2 *
More Detail
1 Wuhan University, CHINA2 Beihang University, CHINA* Corresponding Author

Abstract

This paper applies data envelopment analysis (DEA) and stochastic frontier analysis (SFA) to explore the relative efficiency of China’s research universities of science and technology. According to the finding, when talent training is the only output, the efficiency of research universities of science and technology is far lower than that of comprehensive universities. However, when the outputs of scientific research and social service are taken into consideration, the former will increase remarkably and even exceeds the latter. Moreover, the research universities of science and technology have a higher inner homogeneity because their standard deviation of efficiency score is obviously lower. The study also reveals that the number of research universities of science and technology with redundant inputs is more than that of comprehensive universities. Beyond that, the environmental variables and statistical noise exert no significant effect on the efficiency of Chinese research universities.

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

EURASIA J Math Sci Tech Ed, Volume 12, Issue 10, October 2016, 2753-2770

https://doi.org/10.12973/eurasia.2016.02302a

Publication date: 17 Dec 2016

Article Views: 2316

Article Downloads: 1489

Open Access References How to cite this article