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Knowledge Interactions in Regional Innovation Networks: Comparing Data Sources

Author

Listed:
  • Michael Fritsch

    (FSU Jena)

  • Mirko Titze

    (Halle Institute for Economic Research (IWH), Germany)

  • Matthias Piontek

    (Friedrich Schiller University Jena, Germany)

Abstract

The value of social network analysis is critically dependent on the comprehensive and reliable identification of actors and their relationships. We compare regional knowledge networks based on different types of data sources, namely, co-patents, co-publications, and publicly subsidized collaborative R&D projects. Moreover, by combining these three data sources, we construct a multilayer network that provides a comprehensive picture of intraregional interactions. By comparing the networks based on the data sources, we address the problems of coverage and selection bias. We observe that using only one data source leads to a severe underestimation of regional knowledge interactions, especially those of private sector firms and independent researchers. The key role of universities that connect many regional actors is identified in all three types of data.

Suggested Citation

  • Michael Fritsch & Mirko Titze & Matthias Piontek, 2018. "Knowledge Interactions in Regional Innovation Networks: Comparing Data Sources," Jena Economics Research Papers 2018-003, Friedrich-Schiller-University Jena.
  • Handle: RePEc:jrp:jrpwrp:2018-003
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    References listed on IDEAS

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    Cited by:

    1. Anna‐Maria Kindt & Matthias Geissler & Kilian Bühling, 2022. "Be my (little) partner?!—Universities' role in regional innovation systems when large firms are rare," Journal of Regional Science, Wiley Blackwell, vol. 62(5), pages 1274-1295, November.
    2. Michael Fritsch & Moritz Zoellner, 2020. "The fluidity of inventor networks," The Journal of Technology Transfer, Springer, vol. 45(4), pages 1063-1087, August.
    3. Michael Fritsch & Moritz Zoellner, 2022. "Actor Fluidity and Knowledge Persistence in Regional Inventor Networks," Economies, MDPI, vol. 10(12), pages 1-20, November.
    4. Alexander Chepurenko & Maria Kristalova & Michael Wyrwich, 2019. "Historical and Institutional Determinants of Universities’ Role in Fostering Entrepreneurship," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(4), pages 48-59.
    5. Artur Santoalha, 2019. "Technological Diversification and Smart Specialization: the role of cooperation," Working Papers on Innovation Studies 20190109, Centre for Technology, Innovation and Culture, University of Oslo.

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    More about this item

    Keywords

    Knowledge interactions; social network analysis; regional innovation systems; data sources;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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