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Analyzing the Knowledge Transfer Performance of China’s Universities: a Heterogeneous Stochastic Frontier Approach

Author

Listed:
  • Zhuo Chen

    (Nanjing Normal University
    Institute of Higher Education, Nanjing University of Finance and Economics)

  • Zhenbing Yang

    (School of Economics, Nanjing University of Finance and Economics)

  • Lili Yang

    (Shanghai Lixin University of Accounting and Finance)

Abstract

Evaluating the knowledge transfer performance of universities facilitates the tracking of and improvement in the factor utilization efficiency of R&D activities. In this study, a heterogeneous stochastic frontier analysis model is used to measure the total factor productivity (TFP) growth rate, output elasticity, and factor bias index of knowledge transfer in Chinese universities from 2007 to 2016. The results show that the overall TFP of knowledge transfer at the university level in China has been improving. The increase in technical efficiency is the primary reason for this phenomenon. The output elasticity of R&D capital input is much larger than that of R&D labor input, indicating that currently, knowledge transfer is still driven by capital. This finding is particularly clear in 211-Project universities. R&D labor in the knowledge transfer process receives more preference in universities (especially non-211-Project universities) in the later period (i.e., 2012–2016). Therefore, the government should encourage the enthusiasm of researchers and improve the substantial contribution of R&D labor, thus facilitating an improvement in the subsequent knowledge transfer performance.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:jknowl:v:15:y:2024:i:1:d:10.1007_s13132-023-01253-5
    DOI: 10.1007/s13132-023-01253-5
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    as
    1. Jeff S. Armstrong & Michael R. Darby & Lynne G. Zucker, 2003. "Commercializing knowledge: university science, knowledge capture and firm performance in biotechnology," Proceedings, Federal Reserve Bank of Dallas, issue Sep, pages 149-170.
    2. García-Vega, María & Vicente-Chirivella, Óscar, 2020. "Do university technology transfers increase firms’ innovation?," European Economic Review, Elsevier, vol. 123(C).
    3. Pavitt, K, 2001. "Public Policies to Support Basic Research: What Can the Rest of the World Learn from US Theory and Practice? (And What They Should Not Learn)," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 10(3), pages 761-779, September.
    4. Giuri, Paola & Munari, Federico & Scandura, Alessandra & Toschi, Laura, 2019. "The strategic orientation of universities in knowledge transfer activities," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 261-278.
    5. Siegel, Donald S. & Waldman, David & Link, Albert, 2003. "Assessing the impact of organizational practices on the relative productivity of university technology transfer offices: an exploratory study," Research Policy, Elsevier, vol. 32(1), pages 27-48, January.
    6. Lauma Muizniece, 2021. "University Autonomy and Commercialization of Publicly Funded Research: the Case of Latvia," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(3), pages 1494-1516, September.
    7. Claudia Curi & Cinzia Daraio & Patrick Llerena, 2012. "University technology transfer: how (in)efficient are French universities?," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 36(3), pages 629-654.
    8. Zhou, Ruoying & Tang, Puay, 2020. "The role of university Knowledge Transfer Offices: Not just commercialize research outputs!," Technovation, Elsevier, vol. 90.
    9. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    10. Hewitt-Dundas, Nola, 2012. "Research intensity and knowledge transfer activity in UK universities," Research Policy, Elsevier, vol. 41(2), pages 262-275.
    11. Dongfu (Franco) Li & Xiaoqing (Maggie) Fu, 2021. "The Efficiency of University Technology Transfer in China," Asian Economic Papers, MIT Press, vol. 20(3), pages 114-137, Fall.
    12. Thursby, Jerry G. & Kemp, Sukanya, 2002. "Growth and productive efficiency of university intellectual property licensing," Research Policy, Elsevier, vol. 31(1), pages 109-124, January.
    13. Wesley M. Cohen & Richard R. Nelson & John P. Walsh, 2003. "Links and Impacts: The Influence of Public Research on Industrial R&D," Chapters, in: Aldo Geuna & Ammon J. Salter & W. Edward Steinmueller (ed.), Science and Innovation, chapter 4, Edward Elgar Publishing.
    14. Ding, Lan & Zeng, Yao, 2015. "Evaluation of Chinese higher education by TOPSIS and IEW — The case of 68 universities belonging to the Ministry of Education in China," China Economic Review, Elsevier, vol. 36(C), pages 341-358.
    15. Yang, Zhenbing & Shao, Shuai & Yang, Lili & Miao, Zhuang, 2018. "Improvement pathway of energy consumption structure in China's industrial sector: From the perspective of directed technical change," Energy Economics, Elsevier, vol. 72(C), pages 166-176.
    16. Azagra-Caro, Joaquín M. & Barberá-Tomás, David & Edwards-Schachter, Mónica & Tur, Elena M., 2017. "Dynamic interactions between university-industry knowledge transfer channels: A case study of the most highly cited academic patent," Research Policy, Elsevier, vol. 46(2), pages 463-474.
    17. Di Gregorio, Dante & Shane, Scott, 2003. "Why do some universities generate more start-ups than others?," Research Policy, Elsevier, vol. 32(2), pages 209-227, February.
    18. Jerry G. Thursby & Marie C. Thursby, 2002. "Who Is Selling the Ivory Tower? Sources of Growth in University Licensing," Management Science, INFORMS, vol. 48(1), pages 90-104, January.
    19. 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.
    20. Henry, Michael & Kneller, Richard & Milner, Chris, 2009. "Trade, technology transfer and national efficiency in developing countries," European Economic Review, Elsevier, vol. 53(2), pages 237-254, February.
    21. Edler, Jakob & Fier, Heide & Grimpe, Christoph, 2011. "International scientist mobility and the locus of knowledge and technology transfer," Research Policy, Elsevier, vol. 40(6), pages 791-805, July.
    22. Xie, Xuemei & Fang, Liangxiu & Zeng, Saixing, 2016. "Collaborative innovation network and knowledge transfer performance: A fsQCA approach," Journal of Business Research, Elsevier, vol. 69(11), pages 5210-5215.
    23. Malik, Tariq H., 2013. "National institutional differences and cross-border university–industry knowledge transfer," Research Policy, Elsevier, vol. 42(3), pages 776-787.
    24. Yaisawarng, Suthathip & Ng, Ying Chu, 2014. "The impact of higher education reform on research performance of Chinese universities," China Economic Review, Elsevier, vol. 31(C), pages 94-105.
    25. João Lopes & João Lussuamo, 2021. "Barriers to University-Industry Cooperation in a Developing Region," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(3), pages 1019-1035, September.
    26. Toole, Andrew A., 2012. "The impact of public basic research on industrial innovation: Evidence from the pharmaceutical industry," Research Policy, Elsevier, vol. 41(1), pages 1-12.
    27. Belitski, Maksim & Aginskaja, Anna & Marozau, Radzivon, 2019. "Commercializing university research in transition economies: Technology transfer offices or direct industrial funding?," Research Policy, Elsevier, vol. 48(3), pages 601-615.
    28. Hong, Wei, 2008. "Decline of the center: The decentralizing process of knowledge transfer of Chinese universities from 1985 to 2004," Research Policy, Elsevier, vol. 37(4), pages 580-595, May.
    29. Adams, James D, 1990. "Fundamental Stocks of Knowledge and Productivity Growth," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 673-702, August.
    30. Feller, Irwin & Ailes, Catherine P. & Roessner, J. David, 2002. "Impacts of research universities on technological innovation in industry: evidence from engineering research centers," Research Policy, Elsevier, vol. 31(3), pages 457-474, March.
    31. Berbegal-Mirabent, Jasmina & Lafuente, Esteban & Solé, Francesc, 2013. "The pursuit of knowledge transfer activities: An efficiency analysis of Spanish universities," Journal of Business Research, Elsevier, vol. 66(10), pages 2051-2059.
    32. Sengupta, Abhijit & Ray, Amit S., 2017. "University research and knowledge transfer: A dynamic view of ambidexterity in british universities," Research Policy, Elsevier, vol. 46(5), pages 881-897.
    33. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    34. 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.
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