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On the Internal Synergistic Mechanism of Operating System of Beijing’s High-Technology Industry Chain: Evidence from Science and Technology Service Industry

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Listed:
  • Li Yang

    (Logistics School, Beijing Wuzi University, Beijing 101149, China)

  • Dawei Wang

    (College of Economics and Management, Beijing University of Technology, Beijing 100124, China)

  • Yuanpeng Ji

    (College of Economics and Management, Beijing University of Technology, Beijing 100124, China)

  • Lizhi Xing

    (College of Economics and Management, Beijing University of Technology, Beijing 100124, China)

Abstract

Based on the then high-tech industry policy documents issued by Beijing in 2017, this paper builds a complex network model to reflect the internal structure of Beijing’s High-Technology Industry Chain (BHIC), and then analyzes the coevolutionary mechanisms of ten top high-technology industries and their detailed sectors. Especially for the science and technology service (S&T) industry, this paper measures its function and status in the system and studies its concrete approach to stabilize the development of the industry chain. Finally, policy suggestions to promote the development of the S&T service industry in specialization, networking, and scale are put forward.

Suggested Citation

  • Li Yang & Dawei Wang & Yuanpeng Ji & Lizhi Xing, 2023. "On the Internal Synergistic Mechanism of Operating System of Beijing’s High-Technology Industry Chain: Evidence from Science and Technology Service Industry," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:1904-:d:1041101
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    References listed on IDEAS

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    1. Nikolay Chichkanov, 2022. "Patterns of Knowledge-Intensive Business Services Use Across Europe," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 16(1), pages 22-33.
    2. Pina, Katia & Tether, Bruce S., 2016. "Towards understanding variety in knowledge intensive business services by distinguishing their knowledge bases," Research Policy, Elsevier, vol. 45(2), pages 401-413.
    3. Nicoletta Corrocher & Lucia Cusmano & Andrea Morrison, 2009. "Modes of innovation in knowledge-intensive business services evidence from Lombardy," Journal of Evolutionary Economics, Springer, vol. 19(2), pages 173-196, April.
    4. Xing, Lizhi & Dong, Xianlei & Guan, Jun & Qiao, Xiaoyong, 2019. "Betweenness centrality for similarity-weight network and its application to measuring industrial sectors’ pivotability on the global value chain," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 19-36.
    5. Lafuente, Esteban & Vaillant, Yancy & Vendrell-Herrero, Ferran, 2017. "Territorial servitization: Exploring the virtuous circle connecting knowledge-intensive services and new manufacturing businesses," International Journal of Production Economics, Elsevier, vol. 192(C), pages 19-28.
    6. Valter Giacinto & Giacinto Micucci & Alessandro Tosoni, 2020. "The agglomeration of knowledge-intensive business services firms," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 65(3), pages 557-590, December.
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