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Spatial sorting of innovative firms and heterogeneous effects of agglomeration on innovation in Germany

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  • Niebuhr, Annekatrin
  • Peters, Jan Cornelius
  • Schmidke, Alex

Abstract

We examine the effects of urbanization and localization on four distinct types of innovation in manufacturing and services. Furthermore, estimating multilevel panel regression models, we investigate the sorting of highly innovative firms into dense urban regions by considering both observable and unobservable firm characteristics. The results indicate that spatial sorting is important. A large portion of the regional differences in firm innovation rates is due to firm characteristics. Estimates that ignore unobserved heterogeneity at the firm level still point to a positive and significant impact of localization on different types of innovation. However, once we include firm fixed effects and distinguish between manufacturing and services, only some weak indication for positive effects of localization on radical innovations of manufacturing firms remains. In addition, the rate to adopt an existing product by an manufacturing firm is positively related to the regional employment density. For the service sector, in contrast, we find adverse effects of localization on different kinds of innovation and no important effect of urbanization.

Suggested Citation

  • Niebuhr, Annekatrin & Peters, Jan Cornelius & Schmidke, Alex, 2019. "Spatial sorting of innovative firms and heterogeneous effects of agglomeration on innovation in Germany," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203584, Verein für Socialpolitik / German Economic Association.
    • Handle: RePEc:zbw:vfsc19:203584
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    Cited by:

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    2. Hisham Alidrisi, 2021. "The Development of an Efficiency-Based Global Green Manufacturing Innovation Index: An Input-Oriented DEA Approach," Sustainability, MDPI, vol. 13(22), pages 1-11, November.
    3. Tobias Schlegel & Curdin Pfister & Dietmar Harhoff & Uschi Backes-Gellner, 2022. "Innovation effects of universities of applied sciences: an assessment of regional heterogeneity," The Journal of Technology Transfer, Springer, vol. 47(1), pages 63-118, February.
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    5. Wang, Xuliang & Xu, Lulu & Ye, Qin & He, Shi & Liu, Yi, 2022. "How does services agglomeration affect the energy efficiency of the service sector? Evidence from China," Energy Economics, Elsevier, vol. 112(C).

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    More about this item

    Keywords

    Agglomeration economies; firm innovation; localization; urbanization;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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