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Diversified resources and academic influence: patterns of university–industry collaboration in Chinese research-oriented universities

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  • Xia Fan

    (South China University of Technology)

  • Xiaowan Yang

    (South China University of Technology)

  • Liming Chen

    (South China University of Technology)

Abstract

This paper investigates the scope and patterns of university–industry collaborations (UICs) in Chinese research-oriented universities. Based on the co-authored publications in international journals by Chinese universities’ academics and researchers from industries with the method of bibliometric and latent cluster analysis, this study provides detailed results on the characters and clustering features from two aspects, namely diversified resources and academic influence. The results show that, although the co-authored publications with industrial researchers only account for a small part of all publications of Chinese universities, the importance of cooperation with industries in the academic research and the scientific contribution have been strengthened in China. Meanwhile, the academic influence of co-authored publications is periodically improving, but still in the development stage of quantity rather than quality. The analyses demonstrate that there are significant differences in the matching relationship of diversified resources and academic influence between universities. Only few UICs are in both the high level of diversified resources and strong academic influence. Most of UICs should attempt to maintain diversified resources advantages whilst also try to enhance academic influence of cooperation outcomes.

Suggested Citation

  • Xia Fan & Xiaowan Yang & Liming Chen, 2015. "Diversified resources and academic influence: patterns of university–industry collaboration in Chinese research-oriented universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(2), pages 489-509, August.
    • Handle: RePEc:spr:scient:v:104:y:2015:i:2:d:10.1007_s11192-015-1618-2
    DOI: 10.1007/s11192-015-1618-2
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    3. Robert J. W. Tijssen & Alfredo Yegros-Yegros & Jos J. Winnink, 2016. "University–industry R&D linkage metrics: validity and applicability in world university rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 677-696, November.
    4. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2022. "Drivers of academic engagement in public–private research collaboration: an empirical study," The Journal of Technology Transfer, Springer, vol. 47(6), pages 1861-1884, December.
    5. Teixeira, Sérgio & Pocinho, Margarida, 2020. "Hotel Industry And Regional Competitiveness: The Bibliometric Perspective Of Web Of Science," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 8(2), pages 129-147.
    6. Yuandi Wang & Ruifeng Hu & Weiping Li & Xiongfeng Pan, 2016. "Does teaching benefit from university–industry collaboration? Investigating the role of academic commercialization and engagement," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1037-1055, March.
    7. Chen, Hongshu & Jin, Qianqian & Wang, Ximeng & Xiong, Fei, 2022. "Profiling academic-industrial collaborations in bibliometric-enhanced topic networks: A case study on digitalization research," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    8. Balzhan Orazbayeva & Carolin Plewa & Todd Davey & Victoria Galán-Muros, 2019. "The future of University-Business Cooperation: research and practice priorities," Post-Print hal-02880384, HAL.
    9. Yi Zhang & Kaihua Chen & Guilong Zhu & Richard C. M. Yam & Jiancheng Guan, 2016. "Inter-organizational scientific collaborations and policy effects: an ego-network evolutionary perspective of the Chinese Academy of Sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1383-1415, September.
    10. Giovanni Abramo & Francesca Apponi & Ciriaco Andrea D'Angelo, 2021. "Public-private research collaborations: longitudinal field-level analysis of determinants, frequency and impact," Papers 2103.14857, arXiv.org.
    11. Shengbo Liu & Xiaoting Luo & Miaomiao Liu, 2023. "Was Chinese “Double-First Class” Construction Policy Influential? Analysis Using Propensity Score Matching," Sustainability, MDPI, vol. 15(8), pages 1-13, April.

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