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The persistence of inter‐regional hierarchy in technology transfer networks: An analysis of Chinese patent licensing data

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  • Ilwon Seo
  • Jung Won Sonn

Abstract

This paper asks whether the technological development of a nation reduces the inter‐regional hierarchy in knowledge flow. We examine two scenarios that are the alternative to each other. The first is what we call the globalization of regional innovation system/weakening of inter‐regional hierarchy scenario: As many regions develop their niches in the global economy, the national “anchor” region loses its relative importance as the importer and distributor of new knowledge, rendering the domestic inter‐regional hierarchy less significant as a result. The second scenario is the globalization of national innovation system/persistence of inter‐regional hierarchy. The nation’s traditional anchor region becomes even more active in importing technology and distributing it to other regions of the country. To test which scenario is closer to reality, we employ social network metrics to analyse inter‐regional technology diffusion networks using Chinese patent licensing data for the 1998–2013 period. Our findings support the second scenario, showing that the influence of the traditional anchor region persists in the hierarchical network structure as new cities enter the network. We found five anchor regions: the three usual suspects—Beijing, Shanghai and Shenzhen—plus two that were slightly less expected—Dongguan and Suzhou.

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  • 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.
  • Handle: RePEc:bla:growch:v:50:y:2019:i:1:p:145-163
    DOI: 10.1111/grow.12271
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    Cited by:

    1. 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.
    2. Ilwon Seo, 2019. "Regions’ Technology Brokerage Patterns and Dynamics for Regional Development," Sustainability, MDPI, vol. 11(9), pages 1-15, May.
    3. Shu-Hao Chang & Chin-Yuan Fan, 2020. "Using Patent Technology Networks to Observe Neurocomputing Technology Hotspots and Development Trends," Sustainability, MDPI, vol. 12(18), pages 1-15, September.
    4. 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).
    5. Losacker, Sebastian, 2022. "‘License to green’: Regional patent licensing networks and green technology diffusion in China," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    6. Yan, Xiang & Han, Zhiyong & Zou, Chen & Cheng, Changgao, 2024. "Assessing the role of emerging green technology transfer in sustainable development and identification of key regions in Yangtze River Delta region," Technological Forecasting and Social Change, Elsevier, vol. 200(C).

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