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Structural dynamics of innovation networks in German Leading-Edge Clusters

Author

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  • Uwe Cantner

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

  • Holger Graf

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

  • Stefan Töpfer

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

Abstract

We study the effects of a German national cluster policy on the structure of collaboration networks. The empirical analysis is based on original data that was collected in fall 2011 and late summer 2013 with cluster actors (firms and public research organizations) who received government funding. Our results show that over time the program was effective in initiating new cooperation between cluster actors and in intensifying existing linkages. Newly formed linkages are to a substantial amount among actors who did not receive direct funding for a joint R&D project, which indicates an additional, mobilisation effect of the policy. Furthermore, we observe differential developments regarding clusters' spatial embeddedness. Some clusters tend to increase their localisation, whereas others increase their connectivity to international partners. The centrality of large firms increased over time, indicating their prominent role as preferred partners for R&D cooperation within the clusters while it is the opposite case for public actors.

Suggested Citation

  • Uwe Cantner & Holger Graf & Stefan Töpfer, 2015. "Structural dynamics of innovation networks in German Leading-Edge Clusters," Jena Economic Research Papers 2015-026, Friedrich-Schiller-University Jena.
  • Handle: RePEc:jrp:jrpwrp:2015-026
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Hiroyuki Okamuro & Junichi Nishimura, 2020. "What Shapes Local Innovation Policies? Empirical Evidence from Japanese Cities," Administrative Sciences, MDPI, Open Access Journal, vol. 10(1), pages 1-22, February.
    2. Hiroyuki Okamuro & Junichi Nishimura, 2015. "Local Management of National Cluster Policies: Comparative Case Studies of Japanese, German, and French Biotechnology Clusters," Administrative Sciences, MDPI, Open Access Journal, vol. 5(4), pages 1-27, November.
    3. Graf, Holger & Broekel, Tom, 2020. "A shot in the dark? Policy influence on cluster networks," Research Policy, Elsevier, vol. 49(3).
    4. Blandinieres, Florence & Krieger, Bastian & Pellens, Maikel, 2021. "Cluster support activities in the German biotechnology sector," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 233052, March.
    5. Mitze, Timo & Strotebeck, Falk, 2019. "Determining factors of interregional research collaboration in Germany's biotech network: Capacity, proximity, policy?," Technovation, Elsevier, vol. 80, pages 40-53.
    6. Mitze, Timo & Strotebeck, Falk, 2017. "Modeling interregional research collaborations in German biotechnology using industry directory data: A quantitative social network analysis," MPRA Paper 83392, University Library of Munich, Germany.
    7. M. Rothgang & U. Cantner & J. Dehio & D. Engel & M. Fertig & H. Graf & S. Hinzmann & E. Linshalm & M. Ploder & A. -M. Scholz & S. Töpfer, 2017. "Cluster policy: insights from the German leading edge cluster competition," Journal of Open Innovation: Technology, Market, and Complexity, MDPI, Open Access Journal, vol. 3(3), pages 1-20, September.
    8. Okamuro, Hiroyuki & Nishimura, Junichi, 2019. "Effects of multilevel policy mix of public R&D subsidies: Empirical evidence from Japanese local SMEs," CCES Discussion Paper Series 70, Center for Research on Contemporary Economic Systems, Graduate School of Economics, Hitotsubashi University.
    9. Namjun Cha & Junseok Hwang & Eungdo Kim, 2019. "How to Improve Performance and Diversity of Government-Funded Research Institute Ecosystem? Focus on Result Sharing and Feedback Policy," Journal of Open Innovation: Technology, Market, and Complexity, MDPI, Open Access Journal, vol. 5(3), pages 1-19, September.
    10. Qin Ye & Xiaolei Xu, 2021. "Determining factors of cities’ centrality in the interregional innovation networks of China’s biomedical industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2801-2819, April.

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    More about this item

    Keywords

    Cluster; Innovation Policy; Evaluation; Social Network Analysis;
    All these keywords.

    JEL classification:

    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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