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The best spatial scale of firm innovation networks: Evidence from Shanghai high‐tech firms

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  • Xianzhong Cao
  • Gang Zeng
  • Tangwei Teng
  • Yuefang Si

Abstract

Innovation networks are the channel of firms’ access to knowledge. Taking Shanghai high‐tech firms as a case study, this paper discusses the differences among biomedical, electronic information, new materials and equipment manufacturing firms from different spatial scales such as the global, local, and glocal. The spatial scale of firm innovation networks is divided into global, national, city and glocal scales The efficiency of national innovation networks is the highest, followed by glocal innovation networks, while city and global innovation network efficiency is lower. The efficiency of high‐tech firm innovation networks is affected by industrial characteristics and spatial distance. The differences in efficiency among innovation networks of Shanghai high‐tech firms are significant.

Suggested Citation

  • Xianzhong Cao & Gang Zeng & Tangwei Teng & Yuefang Si, 2018. "The best spatial scale of firm innovation networks: Evidence from Shanghai high‐tech firms," Growth and Change, Wiley Blackwell, vol. 49(4), pages 696-711, December.
  • Handle: RePEc:bla:growch:v:49:y:2018:i:4:p:696-711
    DOI: 10.1111/grow.12252
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    Cited by:

    1. Sha Xiao & Bindong Sun, 2023. "How Has the Inter-City Corporate Network Spatio-Temporally Evolved in China? Evidence from Chinese Investment in Newly Established Enterprises from 1980–2017," Land, MDPI, vol. 12(1), pages 1-17, January.
    2. Sebastian Losacker & Ingo Liefner, 2020. "Implications of China's innovation policy shift: Does “indigenous” mean closed?," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1124-1141, September.
    3. Xianzhong Cao & Bo Chen & Yuefang Si & Senlin Hu & Gang Zeng, 2021. "Spatio-temporal evolution and mechanism of regional innovation efficiency: Evidence from Yangtze River Delta Urban Agglomeration of China," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-13, July.

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