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International Knowledge Flows and the Role of Proximity

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  • Qinchang Gui
  • Chengliang Liu
  • Debin Du

Abstract

International knowledge flows have become increasingly common and more frequent and are a key driving force promoting the development of global science. However, little attention has been paid to the determinants of international scientific collaboration. Using co‐publication data from the Web of Science database in the period 2000–2014, this paper illustrates spatial patterns of international knowledge flows and estimates the impact of geographical, technological, social, and cultural proximity on the variation of inter‐country collaboration in science. Our findings demonstrate that the coefficients of the four dimensions of proximity are positive and significant in panel estimates and cross‐section estimates—international knowledge flows are facilitated by geographical, technological, social, and cultural proximity. We also find that the effect of geographical and cultural proximity have waned over time, while the impact of social and technological proximity have strengthened.

Suggested Citation

  • Qinchang Gui & Chengliang Liu & Debin Du, 2018. "International Knowledge Flows and the Role of Proximity," Growth and Change, Wiley Blackwell, vol. 49(3), pages 532-547, September.
  • Handle: RePEc:bla:growch:v:49:y:2018:i:3:p:532-547
    DOI: 10.1111/grow.12245
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    Cited by:

    1. Chaocheng He & Jiang Wu & Qingpeng Zhang, 2022. "Proximity‐aware research leadership recommendation in research collaboration via deep neural networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(1), pages 70-89, January.
    2. 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.
    3. Anna Varga-Csajkás & Tamás Sebestyén & Attila Varga, 2023. "Dynamics of collaboration among high-growth firms: results from an agent-based policy simulation," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(2), pages 353-377, April.
    4. Cohen, Franziska & Trauernicht, Mareike & Francot, Ryanne & Broekhuizen, Martine & Anders, Yvonne, 2020. "Professional competencies of practitioners in family and parenting support programmes. A German and Dutch case study," Children and Youth Services Review, Elsevier, vol. 116(C).
    5. Kang, Meiling & Li, Yucheng & Zhao, Zhongkuang & Song, Min & Yi, Jun, 2023. "Travel costs and inter-city collaborative innovation: Evidence of high-speed railway in China," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 286-302.
    6. Xuli Tang & Xin Li & Feicheng Ma, 2022. "Internationalizing AI: evolution and impact of distance factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 181-205, January.
    7. 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.
    8. Henrik Basche, 2022. "Determinants of cross-border co-patents: empirical evidence from 45 European regions [Determinanten grenzüberschreitender Ko-Patentaktivitäten: Empirische Befunde aus 45 europäischen Regionen]," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 42(1), pages 1-22, April.
    9. 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.
    10. Vieira, Elizabeth S. & Cerdeira, Jorge & Teixeira, Aurora A.C., 2022. "Which distance dimensions matter in international research collaboration? A cross-country analysis by scientific domain," Journal of Informetrics, Elsevier, vol. 16(2).
    11. Chaocheng He & Jiang Wu & Qingpeng Zhang, 2021. "Characterizing research leadership on geographically weighted collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4005-4037, May.
    12. Jyoti Dua & Hiran H. Lathabai & Vivek Kumar Singh, 2023. "Measuring and characterizing research collaboration in SAARC countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1265-1294, February.
    13. Ebersberger, Bernd & Feit, Margarita & Mengis, Helen, 2023. "International knowledge interactions and catch-up. Evidence from European patent data for Chinese latecomer firms," International Business Review, Elsevier, vol. 32(2).
    14. Chaocheng He & Jiang Wu & Qingpeng Zhang, 2020. "Research leadership flow determinants and the role of proximity in research collaborations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(11), pages 1341-1356, November.
    15. Wentian Shi & Wenlong Yang & Debin Du, 2020. "The Scientific Cooperation Network of Chinese Scientists and Its Proximity Mechanism," Sustainability, MDPI, vol. 12(2), pages 1-18, January.

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