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Structural properties of cooperation networks in Germany: From basic to applied research

Author

Listed:
  • Tom Broekel

    (Department of Economic Geography, Urban & Regional Research Centre Utrecht (URU), Faculty of Geosciences, Utrecht University)

  • Holger Graf

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

Abstract

Economists pay more and more attention to knowledge networks and drivers of their development. Consequently, a rich literature emerged analyzing factors explaining the emergence of intra-organizational links. Despite substantial work focusing on the dyad level, only little is known about how and why (global) network structures differ between technologies or industries. The study is based on a new data source on subsidized R&D cooperation in Germany, which is presented in detail and discussed with respect to other types of relational data. A comparison of networks within ten technologies allows us to identify systematic differences between basic and applied research networks.

Suggested Citation

  • Tom Broekel & Holger Graf, 2010. "Structural properties of cooperation networks in Germany: From basic to applied research," Jena Economics Research Papers 2010-078, Friedrich-Schiller-University Jena.
    • Handle: RePEc:jrp:jrpwrp:2010-078
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    File URL: https://oweb.b67.uni-jena.de/Papers/jerp2010/wp_2010_078.pdf
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    References listed on IDEAS

    as
    1. Anne L.J. Ter Wal, 2013. "Cluster Emergence and Network Evolution: A Longitudinal Analysis of the Inventor Network in Sophia-Antipolis," Regional Studies, Taylor & Francis Journals, vol. 47(5), pages 651-668, May.
    2. Tom Broekel & Ron Boschma, 2010. "Aviation, Space or Aerospace? Exploring the knowledge networks of two industries in den Netherlands," Working Papers on Innovation and Space 2010-05, Philipps University Marburg, Department of Geography.
    3. Tom Broekel & Ron Boschma, 2010. "Aviation, Space or Aerospace? Exploring the Knowledge Networks of Two Industries in The Netherlands," European Planning Studies, Taylor & Francis Journals, vol. 19(7), pages 1205-1227, December.
    4. Jorge Niosi & Marc Banik, 2005. "The evolution and performance of biotechnology regional systems of innovation," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 29(3), pages 343-357, May.
    5. Michael Fritsch & Holger Graf, 2010. "How General Conditions Affect Regional Innovation Systems - The Case of the Two Germanys," Jena Economics Research Papers 2010-054, Friedrich-Schiller-University Jena.
    6. Anne Ter Wal & Ron Boschma, 2009. "Applying social network analysis in economic geography: framing some key analytic issues," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(3), pages 739-756, September.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Fritsch, Michael & Titze, Mirko & Piontek, Matthias, 2020. "Identifying cooperation for innovation―a comparison of data sources," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 27(6), pages 630-659.
    2. Lea F. Stöber & Marius Boesino & Andreas Pyka & Franziska Schuenemann, 2023. "Bioeconomy Innovation Networks in Urban Regions: The Case of Stuttgart," Land, MDPI, vol. 12(4), pages 1-22, April.
    3. Bogner, Kristina, 2019. "Knowledge networks in the German bioeconomy: Network structure of publicly funded R&D networks," Hohenheim Discussion Papers in Business, Economics and Social Sciences 03-2019, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    4. Buchmann, Tobias & Hain, Daniel & Kudic, Muhamed & Müller, Matthias, 2014. "Exploring the Evolution of Innovation Networks in Science-driven and Scale-intensive Industries: New Evidence from a Stochastic Actor-based Approach," IWH Discussion Papers 1/2014, Halle Institute for Economic Research (IWH).
    5. Xiangdong Zhan & Fuji Xie, 2023. "Knowledge Activities of External Knowledge Network and Technological Capability: Evidence from China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 1343-1370, June.
    6. Tom Broekel & Holger Graf, 2012. "Public research intensity and the structure of German R&D networks: a comparison of 10 technologies," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 21(4), pages 345-372, April.

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    More about this item

    Keywords

    R&D subsidies; network; cooperation; Foerderkatalog; Germany;
    All these keywords.

    JEL classification:

    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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