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The Role of University Scientist Mobility for Industrial Innovation

Author

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  • Ejsing, Ann-Kathrine

    (Danish Insurance Association)

  • Kaiser, Ulrich

    (University of Zurich)

  • Kongsted, Hans Christian

    (University of Copenhagen)

  • Laursen, Keld

    (Copenhagen Business School)

Abstract

Scientific knowledge is an important ingredient in the innovation process. Drawing on the knowledge-based view of the firm and the literature on the relationship between science and technology, this paper scrutinizes the importance of university scientists' mobility for firms' innovative activities. Combining patent data and matched employer-employee data for Danish firms, we can track the labor mobility of R&D workers from 1999 to 2004. We find that new joiners contribute more than long-term employees to innovative activity in the focal firm. Among new firm recruits, we observe that newly hired former university researchers contribute more to innovative activity than newly hired recent graduates or joiners from firms, but only in firms with a high level of absorptive capacity in the form of recent experience of hiring university researchers. We find also that firms' recent experience of hiring university researchers enhances the effect of newly hired recent graduates' contributions to innovation.

Suggested Citation

  • Ejsing, Ann-Kathrine & Kaiser, Ulrich & Kongsted, Hans Christian & Laursen, Keld, 2013. "The Role of University Scientist Mobility for Industrial Innovation," IZA Discussion Papers 7470, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp7470
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    Cited by:

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    3. Beck, Mathias & Junge, Martin & Kaiser, Ulrich, 2017. "Public Funding and Corporate Innovation," IZA Discussion Papers 11196, Institute of Labor Economics (IZA).
    4. Fassio, Claudio & Geuna, Aldo & Rossi, Federica, 2014. "The Contribution of Academic Knowledge to the Value of Industry Inventions: Micro level evidence from patent inventors," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201408, University of Turin.
    5. Sam Arts & Reinhilde Veugelers, 2020. "Taste for science, academic boundary spanning, and inventive performance of scientists and engineers in industry," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(4), pages 917-933.
    6. Burak Dindaroglu, 2010. "Intra-Industry Knowledge Spillovers and Scientific Labor Mobility," Discussion Papers 10-01, University at Albany, SUNY, Department of Economics.
    7. Deborah Giustini, 2021. "The Impact Of Labour Market Trends On The Employment Of R&D Personnel: A Literature Review," HSE Working papers WP BRP 117/STI/2021, National Research University Higher School of Economics.
    8. Jaan Masso & Priit Vahter, 2016. "Knowledge Transfer From Multinationals Through Labour Mobility: Learning From Export Experience," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 99, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    9. Pontus Braunerhjelm & Ding Ding & Per Thulin, 2018. "The knowledge spillover theory of intrapreneurship," Small Business Economics, Springer, vol. 51(1), pages 1-30, June.
    10. Jaana Rahko, 2017. "Knowledge spillovers through inventor mobility: the effect on firm-level patenting," The Journal of Technology Transfer, Springer, vol. 42(3), pages 585-614, June.
    11. Fernandez-Zubieta, Ana & Geuna, Aldo & Lawson, Cornelia, 2015. "What do We Know of the Mobility of Research Scientists and of its Impact on Scientific Production," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201522, University of Turin.
    12. Braunerhjelm, Pontus & Ding, Ding & Thulin, Per, 2020. "Labour market mobility, knowledge diffusion and innovation," European Economic Review, Elsevier, vol. 123(C).
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    Keywords

    science-technology relationship; innovative activity; labor mobility;
    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
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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