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How does geographical mobility of inventors influence network formation?

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  • Ernest Miguelez

    (World Intellectual Property Organization, Economics and Statistics Division, Geneva, Switzerland)

Abstract

The goal of this paper is to assess the influence of spatial mobility of knowledge workers on the formation of ties of scientific and industrial collaboration across European regions. Co-location has been traditionally invoked to ease formal collaboration between individuals and firms, since tie formation costs increase with physical distance between partners. In some instances, highly-skilled actors might become mobile and bridge regional networks across separate locations. This paper estimates a fixed effects logit model to ascertain precisely whether there exists a ‘previous co-location premium’ in the formation of networks across European regions.

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Bibliographic Info

Paper provided by World Intellectual Property Organization - Economics and Statistics Division in its series WIPO Economic Research Working Papers with number 07.

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Length: 28 pages
Date of creation: Apr 2013
Date of revision: Apr 2013
Handle: RePEc:wip:wpaper:07

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Related research

Keywords: inventors’ mobility; technological collaborations; co-location; European regions; panel data;

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References

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  1. Alexander Oettl & Ajay Agrawal, 2008. "International labor mobility and knowledge flow externalities," Journal of International Business Studies, Palgrave Macmillan, vol. 39(8), pages 1242-1260, December.
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  9. Cassi, Lorenzo & Plunket, Anne, 2010. "The determinants of co-inventor tie formation: proximity and network dynamics," MPRA Paper 27303, University Library of Munich, Germany.
  10. Jaffe, A.B. & Trajtenberg, M., 1992. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," Papers 14-92, Tel Aviv.
  11. Peter Thompson & Melanie Fox-Kean, 2005. "Patent Citations and the Geography of Knowledge Spillovers: A Reassessment: Reply," American Economic Review, American Economic Association, vol. 95(1), pages 465-466, March.
  12. Manfred Paier & Thomas Scherngell, 2011. "Determinants of Collaboration in European R&D Networks: Empirical Evidence from a Discrete Choice Model," Industry and Innovation, Taylor & Francis Journals, vol. 18(1), pages 89-104.
  13. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
  14. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-31, March.
  15. Corinne Autant-Bernard & Pascal Billand & David Frachisse & Nadine Massard, 2007. "Social distance versus spatial distance in R&D cooperation: Empirical evidence from European collaboration choices in micro and nanotechnologies," Papers in Regional Science, Wiley Blackwell, vol. 86(3), pages 495-519, 08.
  16. Harris, Richard D. F. & Tzavalis, Elias, 1999. "Inference for unit roots in dynamic panels where the time dimension is fixed," Journal of Econometrics, Elsevier, vol. 91(2), pages 201-226, August.
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  18. Agrawal, Ajay & Kapur, Devesh & McHale, John, 2008. "How do spatial and social proximity influence knowledge flows? Evidence from patent data," Journal of Urban Economics, Elsevier, vol. 64(2), pages 258-269, September.
  19. Ron Boschma, 2005. "Proximity and Innovation: A Critical Assessment," Regional Studies, Taylor & Francis Journals, vol. 39(1), pages 61-74.
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Citations

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Cited by:
  1. Pierre-Alexandre Balland & Ron Boschma & Koen Frenken, 2013. "Proximity and Innovation: From Statics to Dynamics," Papers in Evolutionary Economic Geography (PEEG) 1314, Utrecht University, Section of Economic Geography, revised Aug 2013.
  2. Ernest Miguélez & Rosina Moreno, 2013. "“Mobility, networks and innovation: The role of regions’ absorptive capacity”," IREA Working Papers 201316, University of Barcelona, Research Institute of Applied Economics, revised Oct 2013.

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