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Actor Fluidity and Knowledge Persistence in Regional Inventor Networks

Author

Listed:
  • Michael Fritsch

    (FSU Jena, School of Economics and Business Administration)

  • Moritz Zöllner

    (FSU Jena, School of Economics and Business Administration)

Abstract

The development of inventor networks is characterized by the addition of a significant number of new inventors, while a considerable number of incumbent inventors discontinue. We estimate the persistence of knowledge in regional inventor networks using alternative assumptions about knowledge transfer. Based on these estimates we analyze how the size and structure of a network may influence knowledge persistence over time. In a final step, we assess how persistent knowledge as well as the knowledge of new inventors effect the performance of regional innovation systems (RIS). The results suggest that the knowledge of new inventors is much more important for RIS performance than old knowledge that persists.

Suggested Citation

  • Michael Fritsch & Moritz Zöllner, 2018. "Actor Fluidity and Knowledge Persistence in Regional Inventor Networks," Jena Economic Research Papers 2018-016, Friedrich-Schiller-University Jena.
  • Handle: RePEc:jrp:jrpwrp:2018-016
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    File URL: http://www2.wiwi.uni-jena.de/Papers/jerp2018/wp_2018_016.pdf
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    References listed on IDEAS

    as
    1. Michael Fritsch & Moritz Zoellner, 2020. "The fluidity of inventor networks," The Journal of Technology Transfer, Springer, vol. 45(4), pages 1063-1087, August.
    2. Bronwyn Hall & Christian Helmers & Mark Rogers & Vania Sena, 2014. "The Choice between Formal and Informal Intellectual Property: A Review," Journal of Economic Literature, American Economic Association, vol. 52(2), pages 375-423, June.
    3. Cohen, Wesley M & Klepper, Steven, 1996. "Firm Size and the Nature of Innovation within Industries: The Case of Process and Product R&D," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 232-243, May.
    4. Michael Fritsch, 2002. "Measuring the Quality of Regional Innovation Systems: A Knowledge Production Function Approach," International Regional Science Review, , vol. 25(1), pages 86-101, January.
    5. Michael Fritsch & Holger Graf, 2011. "How sub‐national conditions affect regional innovation systems: The case of the two Germanys," Papers in Regional Science, Wiley Blackwell, vol. 90(2), pages 331-353, June.
    6. Hall, B & Helmers, C & Rogers, M & Sena, V, 2014. "The choice between formal and informal intellectual property: A review," Department of Economics, Working Paper Series qt4271z78q, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Innovation networks; knowledge; RandD cooperation; patents; persistence;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • D2 - Microeconomics - - Production and Organizations
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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