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Evaluation on Research Efficiency of 211Us: The DEA Approach

  • Yongmei Hu
  • Wenyan Liang
  • Yipeng Tang
Chapter
Part of the New Frontiers of Educational Research book series (NFER)

Abstract

This chapter applies DEA model to evaluate the relative efficiency of research production in NEAM and HSS disciplines of 211Us. In order to do an in-depth analysis on the efficiency status and inner logics of university research efficiency, this chapter encompasses the following contents. First, we analyze the operation stage of university research activities, by decomposing research production efficiency into Pure Technical Efficiency (PTE) and Scale Efficiency (SE).

References

  1. Coelli, T. J., Rao, D. S. P., O'Donnell, C. J., & Battese, G. E. (2005). An introduction to efficiency and productivity analysis (Second Edition). New York: Springer Science & Business Media.Google Scholar
  2. Han, H., & Li, Q. (2010). Evaluation of the efficiency of humanity and social sciences research in universities based on AHP/DEA. Higher Education Development and Evaluation, 26(2), 49–56 (in Chinese).Google Scholar
  3. Hausman, J., Hall, B. H., & Griliches, Z. (1984). Econometric Models for Count Data with an Application to the Patents-R&D Relationship. Econometrica, 52(4), 909–938.Google Scholar
  4. Hu, Y., & Liang, W. (2007). The impact of institutional merge in scientific research productivity in higher education: An Malmquist index analysis. Tsinghua Journal of Education, 28(1), 62–70 (In Chinese).Google Scholar
  5. Li, Q., & Ren, Z. (2009). Empirical analysis on scientific research efficiency of Chinese provincial universities 2002–2006: Based on the DEA model. Journal of Shanxi University of Finance and Economics (Higher Education Edition), 12(1), 7–12 (in Chinese).Google Scholar
  6. Lu, G., & Liu, L. (2006). Comparative study on scientific research efficiency of universities affiliated with ministry of education in different regions. Fudan Education Forum, 4(2), 55–59 (in Chinese).Google Scholar
  7. Lu, G., Liu, L., Sun, J., & Gu, L. (2005). Study on the evaluation of scientific research efficiency of universities directly under the ministry of education. Journal of Xi’an Jiaotong University (Social Sciences Edition), 25(2), 75–79 (in Chinese).Google Scholar
  8. Luo, H. (2009). Research on efficiency of science and technology system in China universities based on DEA. Dissertation. Soochow University (in Chinese).Google Scholar
  9. Pakes, A., & Griliches, Z. (1984). Patents and R&D at the firm level: a first look. In: R&D, patents, and productivity (pp. 55–72). University of Chicago Press.Google Scholar
  10. Sun, S., Lu, X., & Lan, B. (2007). The efficiency analysis on input and output of science research in regional universities on basis of DEA. Science of Science and Management of Science and Technology, 7, 18–21 (in Chinese).Google Scholar
  11. Tian, D., & Miao, Y. (2006). Efficiency analysis on Chinese key universities: 2001–2003. Research in Higher Education of Engineering, 4, 83–86 (in Chinese).Google Scholar
  12. Wang, B.Z. & Li, Y. K. (2000). Discussion on the working mode and mechanism of university-based productivity facilitator. Higher Education Research, (5), 12–14 (in Chinese).Google Scholar
  13. Xie, C., & Liu, Z. (2006). Science collaboration and its function of productivity. Studies in Philosophy of Science and Technology, 1, 99–102 (in Chinese).Google Scholar
  14. Xu, J. (2009). An evaluation of relative input–output efficiency of research in higher education institutions in China: A data envelopment analysis. Tsinghua Journal of Education, 30(2), 76–80 (in Chinese).Google Scholar
  15. Zhou, W. (2010). Empirical study on the scientific research performance of research-oriented universities based on DEA. Ph.D. Dissertation. Tianjin University.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  1. 1.Beijing Normal UniversityBeijingChina
  2. 2.Capital Normal UniversityBeijingChina

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