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Triple helix in the science and technology innovation centers of China from the perspective of mutual information: a comparative study between Beijing and Shanghai

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  • Weimin Kang

    (University of Science and Technology of China
    University of Science and Technology of China)

  • Shuliang Zhao

    (University of Science and Technology of China
    University of Science and Technology of China)

  • Wei Song

    (University of Science and Technology of China
    University of Science and Technology of China)

  • Tao Zhuang

    (Weifang University)

Abstract

In this study, we measure the systemness of the triple helix (TH) relationship of universities, industries, and governments (UIGs) of Beijing and Shanghai science and technology innovation centers from the perspectives of horizontal comparison and vertical evolution. Information entropy theory and TH indicators are used to measure the author’s institutional information based on the Web of Science core collection database from 2008 to 2017. The TH network is measured by mutual information among institutions. Research reveals that relative to governments and industries, universities are the main force of innovation. University–government bilateral cooperation represents the tightest type of network in Shanghai. By contrast, university–industry bilateral cooperation in Beijing is the tightest in latest years. The innovation system of UIG cooperation in Beijing and Shanghai has started to take shape. However, the tightness of TH relationships in both cities displayed long-term trends of weakening, and the centrifugal force of each innovation subject was greater than the centripetal force. Accordingly, we propose policy recommendations to optimize the TH innovation network of science and technology innovation centers.

Suggested Citation

  • Weimin Kang & Shuliang Zhao & Wei Song & Tao Zhuang, 2019. "Triple helix in the science and technology innovation centers of China from the perspective of mutual information: a comparative study between Beijing and Shanghai," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 921-940, March.
    • Handle: RePEc:spr:scient:v:118:y:2019:i:3:d:10.1007_s11192-019-03017-y
    DOI: 10.1007/s11192-019-03017-y
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    2. Carla Mascarenhas & Carla Marques & João J. Ferreira & Anderson Galvão, 2022. "University-Industry Collaboration in a Cross-Border Iberian Regions," International Regional Science Review, , vol. 45(4), pages 444-471, July.
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    4. Tuochen Li & Xinyu Zhou, 2022. "Research on the Mechanism of Government–Industry–University–Institute Collaborative Innovation in Green Technology Based on Game–Based Cellular Automata," IJERPH, MDPI, vol. 19(5), pages 1-25, March.
    5. Tao Zhuang & Zhixia Zhou & Qingjun Li, 2021. "University‐industry‐government triple helix relationship and regional innovation efficiency in China," Growth and Change, Wiley Blackwell, vol. 52(1), pages 349-370, March.
    6. Yingkai Tang & Yaozhi Chen & Kun Wang & He Xu & Xiaoqi Yi, 2020. "An Analysis on the Spatial Effect of Absorptive Capacity on Regional Innovation Ability Based on Empirical Research in China," Sustainability, MDPI, vol. 12(7), pages 1-23, April.
    7. Tao, Zhuang & Shuliang, Zhao, 2022. "Collaborative innovation relationship in Yangtze River Delta of China: Subjects collaboration and spatial correlation," Technology in Society, Elsevier, vol. 69(C).
    8. Tao Zhuang & Shuliang Zhao & Mingliang Zheng & Jianxun Chu, 2021. "Triple helix relationship research on China's regional university–industry–government collaborative innovation: Based on provincial patent data," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1361-1386, September.

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