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R&D spillovers and productivity: an analysis of geographical and technological dimensions

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  • Carter Bloch

Abstract

This analysis examines whether potential spillover pools for R&D based on technological and/or geographical proximity have a positive impact on firm productivity for Danish firms, and the importance of absorptive capacity for spillover effects. Knowledge spillovers are constructed based on the research profiles of businesses. The article finds that measures of R&D spillovers based on technological proximity impact positively on firms' productivity, while results are much weaker for geographical measures. In general, the impact of spillovers is increasing in the share of R&D personnel, indicating the importance of absorptive capacity for benefitting from private knowledge pools on a broader scale. The geographical dimension of spillovers also shows some importance when considered together with the share of R&D personnel.

Suggested Citation

  • Carter Bloch, 2013. "R&D spillovers and productivity: an analysis of geographical and technological dimensions," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(5), pages 447-460, July.
    • Handle: RePEc:taf:ecinnt:v:22:y:2013:i:5:p:447-460
    DOI: 10.1080/10438599.2012.760295
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    2. Myeongwan Kim, John Lester, 2019. "R&D Spillovers in Canadian Industry: Results from a New Micro Database," CSLS Research Reports 2019-02, Centre for the Study of Living Standards.
    3. Ugur, Mehmet & Churchill, Sefa Awaworyi & Luong, Hoang M., 2020. "What do we know about R&D spillovers and productivity? Meta-analysis evidence on heterogeneity and statistical power," Research Policy, Elsevier, vol. 49(1).
    4. Myeongwan Kim, John Lester, 2019. "R&D Spillovers in Canadian Industry: Results from a New Micro Database," CSLS Research Reports 2019-02, Centre for the Study of Living Standards.
    5. Paola Cardamone, 2017. "A Spatial Analysis of the R&D-Productivity Nexus at Firm Level," Growth and Change, Wiley Blackwell, vol. 48(3), pages 313-335, September.
    6. Spyros Arvanitis & Florian Seliger & Martin Wörter, 2016. "Knowledge Spillovers and their Impact on Innovation Success - A New Approach Using Patent Backward Citations," KOF Working papers 16-414, KOF Swiss Economic Institute, ETH Zurich.
    7. Cristian Barra & Nazzareno Ruggiero, 2022. "How do dimensions of institutional quality improve Italian regional innovation system efficiency? The Knowledge production function using SFA," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 591-642, April.

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