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Influence of an interurban innovation network on the innovation capacity of China: A multiplex network perspective

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  • Feng, Zhijun
  • Cai, Hechang
  • Chen, Zinan
  • Zhou, Wen

Abstract

Interurban innovation network is a typical multiplex network formed by the interactive coupling of spaces of flows of technology cooperation and transfer. However, studies investigating interurban innovation network from a multiplex network are rare. This study constructs an interurban technology cooperation-transfer network based on the multiplex network perspective and uses spatial Durbin model to reveal the mechanism of its structural characteristics on the urban innovation capability. It finds that: (1) There is a large variability in China's urban innovation capability, which are mainly reflected in the differences between cities in the eastern region and other regions. The China's urban innovation capability presents obvious spatial heterogeneity and agglomeration characteristics. (2) China's interurban technology cooperation-transfer network possesses high spatial coupling. The degree-strength division boundary of the network is clear-cut. Additionally, the degree-strength division and Pagerank classification show a certain level of spatial coincidence and correlation characteristics, with the community space being agglomerated. (3) In the relationship between China's interurban technology cooperation-transfer network structure embeddedness and urban innovation capability, the node degree and urban innovation capability possesses a U-shaped relationship. The node strength and Pagerank value have positive effects on urban innovation capability. Meanwhile, the node Pagerank value has significant positive spatial spillover effect, while node degree and strength both have significant negative spatial spillover effects. These findings can be used to develop a more effective interurban innovation network that will help the innovative development of Chinese cities.

Suggested Citation

  • Feng, Zhijun & Cai, Hechang & Chen, Zinan & Zhou, Wen, 2022. "Influence of an interurban innovation network on the innovation capacity of China: A multiplex network perspective," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    • Handle: RePEc:eee:tefoso:v:180:y:2022:i:c:s0040162522001834
    DOI: 10.1016/j.techfore.2022.121651
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    References listed on IDEAS

    as
    1. Herstad, Sverre J. & Aslesen, Heidi Wiig & Ebersberger, Bernd, 2014. "On industrial knowledge bases, commercial opportunities and global innovation network linkages," Research Policy, Elsevier, vol. 43(3), pages 495-504.
    2. Sun, Huaping & Geng, Yong & Hu, Lingxiang & Shi, Longyu & Xu, Tong, 2018. "Measuring China's new energy vehicle patents: A social network analysis approach," Energy, Elsevier, vol. 153(C), pages 685-693.
    3. Jiao, Jingjuan & Wang, Jiaoe & Jin, Fengjun, 2017. "Impacts of high-speed rail lines on the city network in China," Journal of Transport Geography, Elsevier, vol. 60(C), pages 257-266.
    4. Lin Ding & Zhenfeng Shao & Hanchao Zhang & Cong Xu & Dewen Wu, 2016. "A Comprehensive Evaluation of Urban Sustainable Development in China Based on the TOPSIS-Entropy Method," Sustainability, MDPI, vol. 8(8), pages 1-23, August.
    5. Martijn Burger & Evert Meijers, 2012. "Form Follows Function? Linking Morphological and Functional Polycentricity," Urban Studies, Urban Studies Journal Limited, vol. 49(5), pages 1127-1149, April.
    6. Zongning Wu & Zengru Di & Ying Fan, 2020. "An Asymmetric Popularity-Similarity Optimization Method for Embedding Directed Networks into Hyperbolic Space," Complexity, Hindawi, vol. 2020, pages 1-16, April.
    7. Dolata, Ulrich, 2009. "Technological innovations and sectoral change: Transformative capacity, adaptability, patterns of change: An analytical framework," Research Policy, Elsevier, vol. 38(6), pages 1066-1076, July.
    8. Zhijun Feng & Hechang Cai & Wen Zhou, 2020. "Structural Characteristics and Spatial Patterns of the Technology Transfer Network in the Guangdong–Hong Kong–Macao Greater Bay Area," Sustainability, MDPI, vol. 12(6), pages 1-28, March.
    9. Guan, Jiancheng & Zhang, Jingjing & Yan, Yan, 2015. "The impact of multilevel networks on innovation," Research Policy, Elsevier, vol. 44(3), pages 545-559.
    10. Alessia Sammarra & Lucio Biggiero, 2008. "Heterogeneity and Specificity of Inter‐Firm Knowledge Flows in Innovation Networks," Journal of Management Studies, Wiley Blackwell, vol. 45(4), pages 800-829, June.
    11. Yong-Gil Lee, 2008. "Patent licensability and life: A study of U.S. patents registered by South Korean public research institutes," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 463-471, June.
    12. Peng Gao & Dan He & Zhijing Sun & Yuemin Ning, 2020. "Characterizing functionally integrated regions in the Central Yangtze River Megaregion from a city‐network perspective," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1357-1379, September.
    13. Sun, Yutao & Grimes, Seamus, 2017. "The actors and relations in evolving networks: The determinants of inter-regional technology transaction in China," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 125-136.
    14. Hajime Inaoka & Takuto Ninomiya & Ken Taniguchi & Tokiko Shimizu & Hideki Takayasu, 2004. "Fractal Network derived from banking transaction -- An analysis of network structures formed by financial institutions --," Bank of Japan Working Paper Series 04-E-4, Bank of Japan.
    15. Chang, Yuan-Chieh & Yang, Phil Y. & Chen, Ming-Huei, 2009. "The determinants of academic research commercial performance: Towards an organizational ambidexterity perspective," Research Policy, Elsevier, vol. 38(6), pages 936-946, July.
    16. Kirchherr, Julian & Urban, Frauke, 2018. "Technology transfer and cooperation for low carbon energy technology: Analysing 30 years of scholarship and proposing a research agenda," Energy Policy, Elsevier, vol. 119(C), pages 600-609.
    17. Oliver, Amalya L., 2004. "Biotechnology entrepreneurial scientists and their collaborations," Research Policy, Elsevier, vol. 33(4), pages 583-597, May.
    18. Ilwon Seo & Jung Won Sonn, 2019. "The persistence of inter‐regional hierarchy in technology transfer networks: An analysis of Chinese patent licensing data," Growth and Change, Wiley Blackwell, vol. 50(1), pages 145-163, March.
    19. Raul J Mondragon & Jacopo Iacovacci & Ginestra Bianconi, 2018. "Multilink communities of multiplex networks," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-15, March.
    20. Yao, Li & Li, Jun & Li, Jian, 2020. "Urban innovation and intercity patent collaboration: A network analysis of China’s national innovation system," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    21. Sergey V. Buldyrev & Roni Parshani & Gerald Paul & H. Eugene Stanley & Shlomo Havlin, 2010. "Catastrophic cascade of failures in interdependent networks," Nature, Nature, vol. 464(7291), pages 1025-1028, April.
    22. Wei, Shanting & Zhang, Zhuo & Ke, Ginger Y. & Chen, Xintong, 2019. "The more cooperation, the better? Optimizing enterprise cooperative strategy in collaborative innovation networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    23. Mariangela Piazza & Erica Mazzola & Lorenzo Abbate & Giovanni Perrone, 2019. "Network position and innovation capability in the regional innovation network," European Planning Studies, Taylor & Francis Journals, vol. 27(9), pages 1857-1878, September.
    24. Lachang Lyu & Weiping Wu & Haipeng Hu & Ru Huang, 2019. "An evolving regional innovation network: collaboration among industry, university, and research institution in China’s first technology hub," The Journal of Technology Transfer, Springer, vol. 44(3), pages 659-680, June.
    25. Corey C. Phelps, 2010. "A longitudinal study of the influence of alliance network structure and composition on firm exploratory innovation," Post-Print hal-00528392, HAL.
    26. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    27. Dodgson, Mark & Mathews, John & Kastelle, Tim & Hu, Mei-Chih, 2008. "The evolving nature of Taiwan's national innovation system: The case of biotechnology innovation networks," Research Policy, Elsevier, vol. 37(3), pages 430-445, April.
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    5. Xin Dai & Jie Tang & Qin Huang & Wenyue Cui, 2023. "Knowledge Spillover and Spatial Innovation Growth: Evidence from China’s Yangtze River Delta," Sustainability, MDPI, vol. 15(19), pages 1-26, September.

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