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Efficiency of university–industry collaboration and its determinants: evidence from Chinese leading universities

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  • Bojun Hou
  • Jin Hong
  • Xing Shi

Abstract

This paper applies the two-stage double bootstrap DEA to evaluate the university–industry (U–I) collaboration efficiency of 71 Chinese universities. In the first stage, we evaluate unbiased efficiency scores by using the bootstrap DEA method. Results show that the U–I collaboration efficiency of leading universities has fluctuated slightly from 2007 to 2015. In the second stage, we perform truncated regressions to explore underlying determinants of estimated efficiency. We found that the U–I collaboration efficiency is determined by a university’s characteristics, scientific research fund from the government, and regional economic status. We also found heterogeneous effects across samples.

Suggested Citation

  • Bojun Hou & Jin Hong & Xing Shi, 2021. "Efficiency of university–industry collaboration and its determinants: evidence from Chinese leading universities," Industry and Innovation, Taylor & Francis Journals, vol. 28(4), pages 456-485, April.
    • Handle: RePEc:taf:indinn:v:28:y:2021:i:4:p:456-485
    DOI: 10.1080/13662716.2019.1706455
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    Cited by:

    1. Alexandre Dias & Beatriz Selan, 2023. "How does university-industry collaboration relate to research resources and technical-scientific activities? An analysis at the laboratory level," The Journal of Technology Transfer, Springer, vol. 48(1), pages 392-415, February.
    2. Feng, Wei & Yuan, Hang & Shao, Xin, 2024. "Does China Have an “Innovation Paradox”? Evidence from Chinese Colleges and Universities," Economic Modelling, Elsevier, vol. 134(C).
    3. Rosivalda Pereira & Mário Franco, 2023. "University-Firm Cooperation and Regional Development: Proposal of a Model of Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 676-690, June.
    4. Zhuo Chen & Zhenbing Yang & Lili Yang, 2024. "Analyzing the Knowledge Transfer Performance of China’s Universities: a Heterogeneous Stochastic Frontier Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 3975-4003, March.
    5. James, Steffan & Liu, Zheng & White, Gareth R.T. & Samuel, Anthony, 2023. "Introducing ethical theory to the triple helix model: Supererogatory acts in crisis innovation," Technovation, Elsevier, vol. 126(C).
    6. Silviya Georgieva & Maria Vasilska & Kostadin Kolarov, 2023. "The Use of University Research Products in Entrepreneurial Practice: Specifics According To Size Class of Enterprises and Sectors of Economic Activities," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 8, pages 142-163.
    7. Bojun Hou & Pengcheng Jin & Xing Tang & Jin Hong & Peng Zhou, 2024. "The Internal Determinants of Innovation Efficiency in Chinese Universities: A Perspective from Embeddedness Theory," Research in Higher Education, Springer;Association for Institutional Research, vol. 65(7), pages 1679-1713, November.

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