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Churning of R&D personnel and innovation

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  • Müller, Kathrin
  • Peters, Bettina

Abstract

This paper explores the role of R&D worker mobility on innovation performance. As one main novelty, we employ churning as a measure for worker mobility. Churning depicts the number of workers which are replaced by new ones. It is a very informative indicator since a firm may be exposed to simultaneous leave and inflow of R&D workers even if the size of R&D employment remains unchanged. Hence, we can separate the effect of replacement from net change in R&D workforce. Our results from estimating various knowledge production functions suggest an inverse u-shaped relationship. The exchange of R&D personnel fosters innovation through inter-firm knowledge spillovers and improved job-match quality up to certain threshold. The point when costs of churning exceed the benefits is reached faster if the R&D knowledge is non-duplicative.

Suggested Citation

  • Müller, Kathrin & Peters, Bettina, 2010. "Churning of R&D personnel and innovation," ZEW Discussion Papers 10-032, ZEW - Leibniz Centre for European Economic Research.
    • Handle: RePEc:zbw:zewdip:10032
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    References listed on IDEAS

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    1. David J. Teece, 2003. "Competition, Cooperation, and Innovation Organizational Arrangements for Regimes of Rapid Technological Progress," World Scientific Book Chapters, in: Essays In Technology Management And Policy Selected Papers of David J Teece, chapter 16, pages 447-474, World Scientific Publishing Co. Pte. Ltd..
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    Cited by:

    1. Murmann, Martin, 2017. "The productivity effects of worker replacement in young firms," ZEW Discussion Papers 17-010, ZEW - Leibniz Centre for European Economic Research.
    2. Kaiser, Ulrich & Kongsted, Hans Christian & Rønde, Thomas, 2015. "Does the mobility of R&D labor increase innovation?," Journal of Economic Behavior & Organization, Elsevier, vol. 110(C), pages 91-105.
    3. 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.
    4. Liis Roosaar & Urmas Varblane & Jaan Masso, 2020. "Productivity Gains From Labour Churning In Economic Crisis: Do Foreign Firms Gain More?," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 125, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    5. Eriksson, Tor & Qin, Zhihua & Wang, Wenjing, 2014. "Firm-level innovation activity, employee turnover and HRM practices — Evidence from Chinese firms," China Economic Review, Elsevier, vol. 30(C), pages 583-597.
    6. Grinza, Elena & Quatraro, Francesco, 2019. "Workers’ replacements and firms’ innovation dynamics: New evidence from Italian matched longitudinal data," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    7. Stanko, Michael A. & Olleros, Xavier, 2013. "Industry growth and the knowledge spillover regime: Does outsourcing harm innovativeness but help profit?," Journal of Business Research, Elsevier, vol. 66(10), pages 2007-2016.

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    More about this item

    Keywords

    innovation; churning; mobility;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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