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Rules of attraction: Networks of innovation policy makers in the EU

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  • Laatsit, Mart

    (CIRCLE, Lund University)

  • Boschma, Ron

    (Utrecht University)

Abstract

Policy networks are an important source of information for policy making. Yet, we have only a limited understanding of how policy networks are structured among innovation policy makers and which factors shape their structure. This paper studies how proximities can explain what drives the connections in policy networks. More specifically, we look at innovation policy networks between EU member states. We use social network analysis based on our own data to map the networks of the 28 EU innovation policy directors, consisting of 756 potential connections, and study the proximities shaping these networks. Geographical and cultural proximity turn out to be strong predictors for symmetric and asymmetric ties, but we do not find a relationship between policy proximity (in terms of similarities in business environment regulations and innovation policy) and policy network formation between countries.

Suggested Citation

  • Laatsit, Mart & Boschma, Ron, 2024. "Rules of attraction: Networks of innovation policy makers in the EU," Papers in Innovation Studies 2024/3, Lund University, CIRCLE - Centre for Innovation Research.
  • Handle: RePEc:hhs:lucirc:2024_003
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    References listed on IDEAS

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    1. Michael Storper & Anthony J. Venables, 2004. "Buzz: face-to-face contact and the urban economy," Journal of Economic Geography, Oxford University Press, vol. 4(4), pages 351-370, August.
    2. William K. Hutchinson, 2005. "“Linguistic Distance” as a Determinant of Bilateral Trade," Southern Economic Journal, John Wiley & Sons, vol. 72(1), pages 1-15, July.
    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. Ron Boschma & Anne L. J. ter Wal, 2007. "Knowledge Networks and Innovative Performance in an Industrial District: The Case of a Footwear District in the South of Italy," Industry and Innovation, Taylor & Francis Journals, vol. 14(2), pages 177-199.
    5. Cantner, Uwe & Rake, Bastian, 2014. "International research networks in pharmaceuticals: Structure and dynamics," Research Policy, Elsevier, vol. 43(2), pages 333-348.
    6. Margherita Balconi & Andrea Pozzali & Riccardo Viale, 2007. "The “codification debate” revisited: a conceptual framework to analyze the role of tacit knowledge in economics," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 16(5), pages 823-849, October.
    7. Andre Torre & Alain Rallet, 2005. "Proximity and Localization," Regional Studies, Taylor & Francis Journals, vol. 39(1), pages 47-59.
    8. De Noni, Ivan & Orsi, Luigi & Belussi, Fiorenza, 2018. "The role of collaborative networks in supporting the innovation performances of lagging-behind European regions," Research Policy, Elsevier, vol. 47(1), pages 1-13.
    9. Elisabeth R. Gerber & Adam Douglas Henry & Mark Lubell, 2013. "Political Homophily and Collaboration in Regional Planning Networks," American Journal of Political Science, John Wiley & Sons, vol. 57(3), pages 598-610, July.
    10. Tom Broekel & Ron Boschma, 2012. "Knowledge networks in the Dutch aviation industry: the proximity paradox," Journal of Economic Geography, Oxford University Press, vol. 12(2), pages 409-433, March.
    11. Michael Fritsch, 2000. "Interregional Differences in R&D Activities—An Empirical Investigation," European Planning Studies, Taylor & Francis Journals, vol. 8(4), pages 409-427, August.
    12. Ingold, Karin, 2017. "How to create and preserve social capital in climate adaptation policies: A network approach," Ecological Economics, Elsevier, vol. 131(C), pages 414-424.
    13. Manfred Paier & Thomas Scherngell, 2011. "Determinants of Collaboration in European R&D Networks: Empirical Evidence from a Discrete Choice Model," Industry and Innovation, Taylor & Francis Journals, vol. 18(1), pages 89-104.
    14. Andr Torre Shaw & Jean-Pierre Gilly, 2000. "On the Analytical Dimension of Proximity Dynamics," Regional Studies, Taylor & Francis Journals, vol. 34(2), pages 169-180.
    15. Nilsson, Magnus & Mattes, Jannika, 2015. "The spatiality of trust: Factors influencing the creation of trust and the role of face-to-face contacts," European Management Journal, Elsevier, vol. 33(4), pages 230-244.
    16. William K. Hutchinson, 2005. "“Linguistic Distance” as a Determinant of Bilateral Trade," Southern Economic Journal, John Wiley & Sons, vol. 72(1), pages 1-15, July.
    17. Todtling, Franz & Trippl, Michaela, 2005. "One size fits all?: Towards a differentiated regional innovation policy approach," Research Policy, Elsevier, vol. 34(8), pages 1203-1219, October.
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    More about this item

    Keywords

    Innovation policy; policy networks; proximities; policy proximity; social network analysis;
    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
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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