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Regional Determinants of Establishments' Innovation Activities: A Multi-Level Approach

Author

Listed:
  • Bellmann, Lutz

    (Institute for Employment Research (IAB), Nuremberg)

  • Crimmann, Andreas
  • Evers, Katalin

    (Institute for Employment Research (IAB), Nuremberg)

  • Hujer, Reinhard

    (Goethe University Frankfurt)

Abstract

This paper analyses the determinants of different innovation types. Beside a wide range of firm characteristics also the effects of regional factors are estimated using three-level random effect logit models which account for the clustered and longitudinal structure of the data. The analyses contain three regional variables: the unemployment rate, the assessment of the region with reference to proximity to research and technology centres and universities and the rate of graduates in mathematics, informatics, natural sciences and technological sciences (MINT-graduates). The empirical basis is the IAB-Establishment Panel Survey 2006 to 2010. Process and radical innovations are significant affected by the unemployment rate and the share of MINT-graduates. The unemployment rate has also for some of the innovation combos a significant effect. The proportion of MINT-graduates is relevant for the probability of all 4 innovation types simultaneously.

Suggested Citation

  • Bellmann, Lutz & Crimmann, Andreas & Evers, Katalin & Hujer, Reinhard, 2013. "Regional Determinants of Establishments' Innovation Activities: A Multi-Level Approach," IZA Discussion Papers 7572, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp7572
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    References listed on IDEAS

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    Cited by:

    1. María Jesús Rodríguez-Gulías & David Rodeiro-Pazos & Sara Fernández-López & Manuel Ángel Nogueira-Moreiras, 2021. "The effect of regional resources on innovation: a firm-centered approach," The Journal of Technology Transfer, Springer, vol. 46(3), pages 760-791, June.
    2. Francesco Aiello & Fernanda Ricotta, 2014. "Firm heterogeneity in productivity across Europe. What explains what?," ERSA conference papers ersa14p808, European Regional Science Association.
    3. Nordhause-Janz, Jürgen & Terstriep, Judith, 2017. "Innovationsreport Nordrhein-Westfalen," Working Paper Forschungsförderung 026, Hans-Böckler-Stiftung, Düsseldorf.
    4. Rodríguez-Gulías, María Jesús & Fernández-López, Sara & Rodeiro-Pazos, David, 2020. "Innovation in cultural and creative industries firms with an academic origin (CCI-USOs): The role of regional context," Technovation, Elsevier, vol. 92.
    5. Annekatrin Niebuhr & Jan Cornelius Peters & Alex Schmidke, 2020. "Spatial sorting of innovative firms and heterogeneous effects of agglomeration on innovation in Germany," The Journal of Technology Transfer, Springer, vol. 45(5), pages 1343-1375, October.
    6. María Jesús Rodríguez-Gulías & David Rodeiro-Pazos & Sara Fernández-López, 2016. "The Regional Effect on the Innovative Performance of University Spin-Offs: a Multilevel Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 7(4), pages 869-889, December.
    7. Amber Naz & Annekatrin Niebuhr & Jan Peters, 2015. "What’s behind the disparities in firm innovation rates across regions? Evidence on composition and context effects," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(1), pages 131-156, October.

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    More about this item

    Keywords

    determinants of innovation; regional effects; multilevel modelling;
    All these keywords.

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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