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Impact of Transnational Research Collaboration on Universities’ Innovation Performance: Panel Data Research of 64 Chinese Universities from 2009 to 2019

Author

Listed:
  • Zhiyang Zhong

    (Institute of Higher Education, Tongji University, Shanghai 200092, China)

  • Gaoming Zheng

    (Institute of Higher Education, Tongji University, Shanghai 200092, China)

  • Yan Wang

    (Institute of Higher Education, Tongji University, Shanghai 200092, China)

Abstract

Recently, China launched policies to further internationalize Chinese universities, including the “First-Class Universities and First-Class Disciplines Project” (Double First-Class Project), which highlights the importance of increasing transnational research collaboration activities. However, little is known about the actual impacts of these national initiatives on universities’ transnational research collaboration activities. Research on the impact of the involvement of transnational research collaboration on universities’ innovation performance is lacking. The purpose of this study was (1) to further understand the link between the involvement of transnational research collaboration and the innovation performance of universities and (2) to examine the relation between the “Double First-Class Project” and transnational research collaboration in Chinese universities. Through collecting and analyzing 576 panel data (a combination of cross-sectional series data and time series data) on the involvement of transnational research collaboration and the innovation performance of 64 universities from 2009 to 2019, the study manifested a positive correlation between the involvement of transnational research collaboration and the innovation performance of universities. The study further indicated the national key university initiative had a direct positive impact. More meso-level studies and a more open international mindset from policymakers to maintain the sustainable development of research and innovation globally are needed.

Suggested Citation

  • Zhiyang Zhong & Gaoming Zheng & Yan Wang, 2022. "Impact of Transnational Research Collaboration on Universities’ Innovation Performance: Panel Data Research of 64 Chinese Universities from 2009 to 2019," Sustainability, MDPI, vol. 15(1), pages 1-16, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:83-:d:1010144
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    References listed on IDEAS

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    1. Atta Ullah & Zhao Kui & Saif Ullah & Chen Pinglu & Saba Khan, 2021. "Sustainable Utilization of Financial and Institutional Resources in Reducing Income Inequality and Poverty," Sustainability, MDPI, vol. 13(3), pages 1-25, January.
    2. EunKyung Chung & Nahyun Kwon & Jungyeoun Lee, 2016. "Understanding scientific collaboration in the research life cycle: Bio- and nanoscientists' motivations, information-sharing and communication practices, and barriers to collaboration," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(8), pages 1836-1848, August.
    3. Richard F. J. Haans & Constant Pieters & Zi-Lin He, 2016. "Thinking about U: Theorizing and testing U- and inverted U-shaped relationships in strategy research," Strategic Management Journal, Wiley Blackwell, vol. 37(7), pages 1177-1195, July.
    4. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Solazzi, Marco, 2011. "Are researchers that collaborate more at the international level top performers? An investigation on the Italian university system," Journal of Informetrics, Elsevier, vol. 5(1), pages 204-213.
    6. Lars Frode Frederiksen, 2004. "Disciplinary determinants of bibliometric impact in Danish industrial research: Collaboration and visibility," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(2), pages 253-270, October.
    7. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    8. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    9. Hsu, Chia-Wen & Lien, Yung-Chih & Chen, Homin, 2015. "R&D internationalization and innovation performance," International Business Review, Elsevier, vol. 24(2), pages 187-195.
    10. T. S. Evans & R. Lambiotte & P. Panzarasa, 2011. "Community structure and patterns of scientific collaboration in Business and Management," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 381-396, October.
    11. Hu, Mei-Chih & Mathews, John A, 2009. "Estimating the innovation effects of university–industry–government linkages: The case of Taiwan," Journal of Management & Organization, Cambridge University Press, vol. 15(2), pages 138-154, May.
    12. Berchicci, Luca, 2013. "Towards an open R&D system: Internal R&D investment, external knowledge acquisition and innovative performance," Research Policy, Elsevier, vol. 42(1), pages 117-127.
    13. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    14. Shaun Goldfinch & Tony Dale & Karl DeRouen, 2003. "Science from the periphery: Collaboration, networks and 'Periphery Effects' in the citation of New Zealand Crown Research Institutes articles, 1995-2000," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(3), pages 321-337, July.
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