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Similarity of R&D activities, physical proximity, and R&D spillovers

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  • Deltas, George
  • Karkalakos, Sotiris

Abstract

The diffusion of knowledge generates positive externalities if knowledge flows increase the productivity of R&D by the recipients of these flows. We investigate the extent to which these spillovers depend on the similarity of research activities by the originator and recipient of the knowledge, and at what rate the spillovers diminish with physical distance. We find, using regional patent and R&D expenditure data from the European Union, that similarity between R&D activities is not only statistically significant, but salient: regions with completely dissimilar R&D activities exhibit essentially no spillovers at all. An increase in the distance between the originating and recipient region by 500km reduces spillovers by 55–70%.

Suggested Citation

  • Deltas, George & Karkalakos, Sotiris, 2013. "Similarity of R&D activities, physical proximity, and R&D spillovers," Regional Science and Urban Economics, Elsevier, vol. 43(1), pages 124-131.
  • Handle: RePEc:eee:regeco:v:43:y:2013:i:1:p:124-131
    DOI: 10.1016/j.regsciurbeco.2012.06.002
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    Cited by:

    1. Gianni Guastella & Frank G. van Oort, 2015. "Regional Heterogeneity and Interregional Research Spillovers in European Innovation: Modelling and Policy Implications," Regional Studies, Taylor & Francis Journals, vol. 49(11), pages 1772-1787, November.
    2. Mario A. Maggioni & Teodora Erika Uberti & Mario Nosvelli, 2017. "The "Political" Geography of Research Networks," International Regional Science Review, , vol. 40(4), pages 337-376, July.
    3. Miguélez, Ernest & Moreno, Rosina, 2015. "Knowledge flows and the absorptive capacity of regions," Research Policy, Elsevier, vol. 44(4), pages 833-848.
    4. Boucekkine, Raouf & Fabbri, Giorgio & Federico, Salvatore & Gozzi, Fausto, 2022. "Managing spatial linkages and geographic heterogeneity in dynamic models with transboundary pollution," Journal of Mathematical Economics, Elsevier, vol. 98(C).
    5. Polemis, Michael & Tselekounis, Markos, 2019. "Does deregulation drive innovation intensity? Lessons learned from the OECD telecommunications sector," MPRA Paper 92770, University Library of Munich, Germany.
    6. Yuxin Li & Derek Bosworth, 2020. "R&D spillovers in a supply chain and productivity performance in British firms," The Journal of Technology Transfer, Springer, vol. 45(1), pages 177-204, February.
    7. Eyal Apatov & Arthur Grimes, 2019. "Impacts of Higher Education Institutions on Local Population and Employment Growth," International Regional Science Review, , vol. 42(1), pages 31-64, January.
    8. Mario Maggioni & Teodora Uberti & Mario Nosvelli, 2014. "Does intentional mean hierarchical? Knowledge flows and innovative performance of European regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 453-485, September.
    9. Kyriakos Drivas & Claire Economidou & Sotiris Karkalakos, 2014. "Spatial Aspects of Innovation Activity in the US," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 5(3), pages 464-480, September.
    10. Pushkarev, A. A., 2018. "Cluster analysis of regional innovation activity in Russia in 2010-2015," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 4(1), pages 10-17.
    11. Fotis, Panagiotis & Karkalakos, Sotiris & Asteriou, Dimitrios, 2017. "The relationship between energy demand and real GDP growth rate: The role of price asymmetries and spatial externalities within 34 countries across the globe," Energy Economics, Elsevier, vol. 66(C), pages 69-84.
    12. Hu, Yong & Fisher-Vanden, Karen & Su, Baozhong, 2020. "Technological spillover through industrial and regional linkages: Firm-level evidence from China," Economic Modelling, Elsevier, vol. 89(C), pages 523-545.
    13. Guo, Yan & Zhang, Haochen, 2022. "Spillovers of innovation subsidies on regional industry growth: Evidence from China," Economic Modelling, Elsevier, vol. 112(C).

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    More about this item

    Keywords

    Technological similarities; Knowledge diffusion; Spatial effects;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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