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Does network position foster knowledge production? Evidence from international scientific collaboration network

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  • Qinchang Gui
  • Chengliang Liu
  • Debin Du

Abstract

There is consensus among scholars that social networks are important mechanisms of knowledge spillovers. By occupying a central and advantageous network position in the collaboration network, it is easy for actors to access intangible external resources. However, empirical studies of the impact of network structure on knowledge production remain scarce. Based on copublication data from the Web of Science database (WoS) from 2000 to 2015, we construct eleven international scientific collaboration networks and empirically estimate the impacts of multiple network properties, comprehensively measured by degree centrality, structure holes, and small‐world quotient, on national knowledge output. Empirical results based on fixed effect negative binomial models suggest positive effects of the three facets of network properties, that is, higher degree centrality, structural holes, and small‐world quotient are beneficial for facilitating and improving national knowledge production, which in turn encourages international academic collaboration.

Suggested Citation

  • Qinchang Gui & Chengliang Liu & Debin Du, 2018. "Does network position foster knowledge production? Evidence from international scientific collaboration network," Growth and Change, Wiley Blackwell, vol. 49(4), pages 594-611, December.
    • Handle: RePEc:bla:growch:v:49:y:2018:i:4:p:594-611
    DOI: 10.1111/grow.12263
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    Citations

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    Cited by:

    1. Qinchang Gui & Chengliang Liu & DeBin Du, 2019. "The Structure and Dynamic of Scientific Collaboration Network among Countries along the Belt and Road," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    2. Dapeng Liu & Mao Zhao & Haiqing Xu & Mansoureh Mehrgan, 2021. "A new model to investigate the impact of innovative IT services on smart urban growth: The mediating role of urban planners’ knowledge," Growth and Change, Wiley Blackwell, vol. 52(2), pages 1040-1061, June.
    3. Carlos Bianchi & Pablo Galaso & Sergio Palomeque, 2023. "Knowledge complexity and brokerage in inter-city networks," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1773-1799, October.
    4. Cao Zhan & Derudder Ben & Dai Liang & Peng Zhenwei, 2023. "An analysis of the evolution of Chinese cities in global scientific collaboration networks: Manuscript prepared for special issue on “China’s internationalization and changing role in the world”," ZFW – Advances in Economic Geography, De Gruyter, vol. 67(1), pages 5-19, May.
    5. Chengliang Liu & Caicheng Niu & Ji Han, 2019. "Spatial Dynamics of Intercity Technology Transfer Networks in China’s Three Urban Agglomerations: A Patent Transaction Perspective," Sustainability, MDPI, vol. 11(6), pages 1-24, March.
    6. Xionghe Qin, 2022. "The Impact of Interregional Collaboration on Multistage R&D Productivity and Their Interregional Gaps in Chinese Provinces," Mathematics, MDPI, vol. 10(8), pages 1-17, April.
    7. Tingzhu Li & Debin Du & Xueli Wang & Xionghe Qin, 2022. "Can Nuclear Power Products Mitigate Greenhouse Gas Emissions? Evidence from Global Trade Network," IJERPH, MDPI, vol. 19(13), pages 1-25, June.
    8. Xiaoxiao Shi & Qingpu Zhang, 2020. "Network inertia and inbound open innovation: is there a bidirectional relationship?," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 791-815, February.
    9. Xiaoli Li & Kun Li & Hao Zhou, 2022. "Impact of Inventor’s Cooperation Network on Ambidextrous Innovation in Chinese AI Enterprises," Sustainability, MDPI, vol. 14(16), pages 1-21, August.
    10. Teemu Makkonen & Timo Mitze, 2021. "Geo-political conflicts, economic sanctions and international knowledge flows," Papers 2112.00564, arXiv.org.

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