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Dynamic Innovation Collaboration Based on Complex Network Analysis: Evidence from the “Belt and Road” Initiative

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  • Kangjuan Lyu

    (Shanghai University)

  • Daxia Cai

    (Shandong Women’s University)

  • Miao Hao

    (Shanghai University)

Abstract

With the advancement of the knowledge economy, innovation has emerged as a crucial catalyst for regional and urban growth. In this study, we explore the centrality, subgroup composition, geographical, and social proximity of the urban innovation network, utilizing the complex network analysis method. The results of our investigation reveal two significant findings. Firstly, the number of PCT in the sample cities within the Belt and Road countries has experienced a remarkable 20-fold increase between 2000 and 2021. And the complex network maps for three distinct time periods, basing our analysis on network node centrality. These maps illustrate a progressive deepening in both closeness and complexity. Secondly, our investigation explores the evolution characteristics of the city cooperative innovation network from diverse perspectives, encompassing overall network structure, network location, network roles, and proximity. Although the impact of geographical proximity is declining, while the effect of social proximity is increasing, it is important to note that the coefficient of geographical proximity consistently exceeds that of social proximity in the urban innovation network. This suggests that geographic distance still holds a significant influence on innovation cooperation. Overall, these findings carry substantial implications for enhancing the overall level of innovation in the Belt and Road region and providing empirical evidence for the construction of future innovative city partnerships.

Suggested Citation

  • Kangjuan Lyu & Daxia Cai & Miao Hao, 2024. "Dynamic Innovation Collaboration Based on Complex Network Analysis: Evidence from the “Belt and Road” Initiative," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 19157-19182, December.
    • Handle: RePEc:spr:jknowl:v:15:y:2024:i:4:d:10.1007_s13132-024-01757-8
    DOI: 10.1007/s13132-024-01757-8
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