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International Research Networks in Pharmaceuticals: Structure and Dynamics

Author

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  • Uwe Cantner

    () (School of Economics and Business Administration, Friedrich-Schiller-University Jena)

  • Bastian Rake

    () (Friedrich-Schiller-University Jena, Graduate College "The Economics of Innovative Change")

Abstract

Knowledge production and scientific research have become increasingly more collaborative and international, particularly in pharmaceuticals. We analyze international research networks on the country level in different disease groups. Our empirical analysis is based on a unique dataset of scientific publications related to pharmaceutical research. Using social network analysis, we find that both the number of countries and their connectivity increase in almost all disease groups. The cores of the networks consist of high income OECD countries and remain rather stable over time. We use network regression techniques in order to analyze the dynamics of the networks. Our results indicate that an accumulative advantage based on preferential attachment and point connectivity as a proxy for multi-connectivity are positively related to changes in the countries' collaboration intensity.

Suggested Citation

  • Uwe Cantner & Bastian Rake, 2011. "International Research Networks in Pharmaceuticals: Structure and Dynamics," Jena Economic Research Papers 2011-055, Friedrich-Schiller-University Jena.
  • Handle: RePEc:jrp:jrpwrp:2011-055
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    Cited by:

    1. Guan, Jiancheng & Liu, Na, 2016. "Exploitative and exploratory innovations in knowledge network and collaboration network: A patent analysis in the technological field of nano-energy," Research Policy, Elsevier, vol. 45(1), pages 97-112.
    2. Krogmann, Yin & Riedel, Nadine & Schwalbe, Ulrich, 2013. "Inter-firm R&D networks in pharmaceutical biotechnology: What determines firm's centrality-based partnering capability," FZID Discussion Papers 75-2013, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    3. Guan, Jiancheng & Zhang, Jingjing & Yan, Yan, 2015. "The impact of multilevel networks on innovation," Research Policy, Elsevier, vol. 44(3), pages 545-559.
    4. Uwe Cantner, 2016. "Foundations of economic change—an extended Schumpeterian approach," Journal of Evolutionary Economics, Springer, vol. 26(4), pages 701-736, October.
    5. Maureen McKelvey & Bastian Rake, 2012. "Research Network Position and Innovative Performance: Evidence from the Pharmaceutical Industry," Jena Economic Research Papers 2012-021, Friedrich-Schiller-University Jena.
    6. repec:spr:scient:v:111:y:2017:i:3:d:10.1007_s11192-017-2362-6 is not listed on IDEAS
    7. repec:spr:scient:v:111:y:2017:i:2:d:10.1007_s11192-017-2320-3 is not listed on IDEAS
    8. Ricardo Arencibia-Jorge & Elena Corera-Alvarez & Zaida Chinchilla-Rodríguez & Félix Moya-Anegón, 2016. "Scientific output of the emerging Cuban biopharmaceutical industry: a scientometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1621-1636, September.
    9. Holger Graf & Martin Kalthaus, 2016. "International Research Networks: Determinants of Country Embeddedness," Jena Economic Research Papers 2016-016, Friedrich-Schiller-University Jena.
    10. Guan, JianCheng & Zuo, KaiRui & Chen, KaiHua & Yam, Richard C.M., 2016. "Does country-level R&D efficiency benefit from the collaboration network structure?," Research Policy, Elsevier, vol. 45(4), pages 770-784.

    More about this item

    Keywords

    International Cooperation; Pharmaceuticals; Research Networks; Network Dynamics; MRQAP;

    JEL classification:

    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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