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The structure and proximity mechanism of formal innovation networks: Evidence from Shanghai high‐tech ITISAs

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  • Xianzhong Cao
  • Gang Zeng
  • Lei Ye

Abstract

The discussion on innovation networks of patents or papers has attracted many economic geographers; however, the Industrial Technology Innovation Strategy Alliance (ITISA) has been ignored, although it is also an important innovation form of firms, and the formation mechanism of alliance innovation networks is unclear. This study is based on the data of Shanghai high‐tech ITISAs between 2010 and 2015, and employs the methods of social networks and negative binomial regression to analyse the actor structure, spatial structure, and proximity mechanism of innovation networks of Shanghai high‐tech ITISAs. Results highlight the following: (a) Firms comprise the largest number of actors in alliance innovation networks, and universities, research institutions, and industry associations also play some roles. (b) The local and rooted characteristics of the innovation networks of ITISAs are obvious. The spatial distribution of innovation partners is mainly in Shanghai, and a few innovation actors are located in neighbouring cities, such as Suzhou, Hangzhou, and Ningbo in the Yangtze River Delta Urban Agglomeration. (c) Proximity significantly promotes the formation of innovation networks in an ITISA and contributes to the improvement of innovation ability, and organizational proximity plays a greater role than geographical proximity or cognitive proximity.

Suggested Citation

  • Xianzhong Cao & Gang Zeng & Lei Ye, 2019. "The structure and proximity mechanism of formal innovation networks: Evidence from Shanghai high‐tech ITISAs," Growth and Change, Wiley Blackwell, vol. 50(2), pages 569-586, June.
    • Handle: RePEc:bla:growch:v:50:y:2019:i:2:p:569-586
    DOI: 10.1111/grow.12294
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    Citations

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    Cited by:

    1. Xianzhong Cao & Bo Chen & Yi Guo & Zhenzhen Yi, 2023. "The Impact of Intra-City and Inter-City Innovation Networks on City Economic Growth: A Case Study of the Yangtze River Delta in China," Land, MDPI, vol. 12(7), pages 1-17, July.
    2. Xingxing Jin & Guojian Hu & Hailong Ding & Shilin Ye & Yuqi Lu & Jinhuang Lin, 2020. "Evolution of spatial structure patterns of city networks in the Yangtze River Economic Belt from the perspective of corporate pledge linkage," Growth and Change, Wiley Blackwell, vol. 51(2), pages 833-851, June.
    3. Shuaijun Xue & Robert Hassink, 2021. "Combinatorial knowledge bases, proximity and agency across space: the case of the high-end medical device industry in Shanghai," PEGIS geo-disc-2021_04, Institute for Economic Geography and GIScience, Department of Socioeconomics, Vienna University of Economics and Business.
    4. Prokop, Viktor & Hajek, Petr & Stejskal, Jan, 2021. "Configuration Paths to Efficient National Innovation Ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    5. Ben Zhang & Xin Liu, 2024. "Technology Proximity Mechanism and Collaborative Innovation Orientation: How to Coordinate Multiple Subsidiaries’ Innovation Strategies?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 706-731, March.
    6. Lei Ye & Gang Zeng & Xianzhong Cao, 2020. "Open innovation and innovative performance of universities: Evidence from China," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1142-1157, September.
    7. Tingzhu Li & Ran Liu & Wei Qi, 2019. "Regional Heterogeneity of Migrant Rent Affordability Stress in Urban China: A Comparison between Skilled and Unskilled Migrants at Prefecture Level and Above," Sustainability, MDPI, vol. 11(21), pages 1-26, October.
    8. Dongsheng Yan & Wei Sun, 2022. "Study on the Evolution, Driving Factors, and Regional Comparison of Innovation Patterns in the Yangtze River Delta," Land, MDPI, vol. 11(6), pages 1-21, June.

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