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Global Knowledge Embeddedness

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  • Holger Graf

    (Friedrich Schiller University Jena, Department of Economics)

  • Martin Kalthaus

    (Friedrich Schiller University Jena, Department of Economics)

Abstract

Various forms of interaction during the process of research and innovation constitute a global network of knowledge generation and diffusion. Countries and their research organizations and individual scientists need to be embedded in this network to participate in global knowledge flows and to increase success in idea generation, invention and innovation. In this chapter, we review the literature on two of the most important channels of international knowledge diffusion in the field of science: research collaboration and scientist mobility. We thereby focus on the motives and determinants to collaborate or move internationally, the formation of a global knowledge network and the effects of embeddedness in the network and its influence on aggregate outcomes. From this review, we derive seven stylized facts on global knowledge embeddedness.

Suggested Citation

  • Holger Graf & Martin Kalthaus, 2022. "Global Knowledge Embeddedness," Jena Economics Research Papers 2022-004, Friedrich-Schiller-University Jena.
  • Handle: RePEc:jrp:jrpwrp:2022-004
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    References listed on IDEAS

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    1. Ashkan Ebadi & Andrea Schiffauerova, 2013. "Impact of Funding on Scientific Output and Collaboration: A Survey of Literature," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 12(04), pages 1-16.
    2. Blaise Cronin & Debora Shaw & Kathryn La Barre, 2003. "A cast of thousands: Coauthorship and subauthorship collaboration in the 20th century as manifested in the scholarly journal literature of psychology and philosophy," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(9), pages 855-871, July.
    3. Blaise Cronin & Debora Shaw & Kathryn La Barre, 2004. "Visible, less visible, and invisible work: Patterns of collaboration in 20th century chemistry," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(2), pages 160-168, January.
    4. Tsouri, Maria & Hanson, Jens & Normann, Håkon Endresen, 2021. "Does participation in knowledge networks facilitate market access in global innovation systems? The case of offshore wind," Research Policy, Elsevier, vol. 50(5).
    5. Teichler, Ulrich, 2015. "Academic Mobility and Migration: What We Know and What We Do Not Know," European Review, Cambridge University Press, vol. 23(S1), pages 6-37, May.
    6. Verginer, Luca & Riccaboni, Massimo, 2021. "Talent goes to global cities: The world network of scientists’ mobility," Research Policy, Elsevier, vol. 50(1).
    7. Tazio Vanni & Marco Mesa-Frias & Ruben Sanchez-Garcia & Rafael Roesler & Gilberto Schwartsmann & Marcelo Z Goldani & Anna M Foss, 2014. "International Scientific Collaboration in HIV and HPV: A Network Analysis," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-8, March.
    8. Christian Catalini & Christian Fons-Rosen & Patrick Gaulé, 2020. "How Do Travel Costs Shape Collaboration?," Management Science, INFORMS, vol. 66(8), pages 3340-3360, August.
    9. Thed N. Leeuwen, 2009. "Strength and weakness of national science systems: A bibliometric analysis through cooperation patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 389-408, May.
    10. Cantner, Uwe & Rake, Bastian, 2014. "International research networks in pharmaceuticals: Structure and dynamics," Research Policy, Elsevier, vol. 43(2), pages 333-348.
    11. Cimini, Giulio & Zaccaria, Andrea & Gabrielli, Andrea, 2016. "Investigating the interplay between fundamentals of national research systems: Performance, investments and international collaborations," Journal of Informetrics, Elsevier, vol. 10(1), pages 200-211.
    12. Edler, Jakob & Fier, Heide & Grimpe, Christoph, 2011. "International scientist mobility and the locus of knowledge and technology transfer," Research Policy, Elsevier, vol. 40(6), pages 791-805, July.
    13. Carrazza, Stefano & Ferrara, Alfio & Salini, Silvia, 2016. "Research infrastructures in the LHC era: A scientometric approach," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 121-133.
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    More about this item

    Keywords

    scientist mobility; research collaboration; global knowledge network; literature review;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • F60 - International Economics - - Economic Impacts of Globalization - - - General
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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