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Determinants of Collaboration in European R&D Networks: Empirical Evidence from a Discrete Choice Model

Determinants of Collaboration in European R&D Networks: Empirical Evidence from a Discrete Choice... This paper focuses on inter-organizational R&D collaborations as captured by joint research projects funded within the European Framework Programmes for Research and Technological Development (EU-FPs). We identify determinants of collaboration, including actor characteristics, relational and network effects as well as geographical effects by means of a discrete choice model. Using data on EU-FP projects from the EUPRO database and from a representative survey of participants, we produce statistically significant evidence that collaboration choices in EU-FPs are primarily facilitated by prior acquaintance, thematic proximity and geographical proximity. Also, network effects are significantly related to collaboration choice. Moreover, the study shows that the impact of geographical effects increases for more intensive collaboration. The results are promising since a deeper understanding of these collaboration processes is needed for future governance of research policies in the EU. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Industry & Innovation Taylor & Francis

Determinants of Collaboration in European R&D Networks: Empirical Evidence from a Discrete Choice Model

Industry & Innovation , Volume 18 (1): 16 – Jan 1, 2011
16 pages

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References (69)

Publisher
Taylor & Francis
Copyright
Copyright Taylor & Francis Group, LLC
ISSN
1469-8390
eISSN
1366-2716
DOI
10.1080/13662716.2010.528935
Publisher site
See Article on Publisher Site

Abstract

This paper focuses on inter-organizational R&D collaborations as captured by joint research projects funded within the European Framework Programmes for Research and Technological Development (EU-FPs). We identify determinants of collaboration, including actor characteristics, relational and network effects as well as geographical effects by means of a discrete choice model. Using data on EU-FP projects from the EUPRO database and from a representative survey of participants, we produce statistically significant evidence that collaboration choices in EU-FPs are primarily facilitated by prior acquaintance, thematic proximity and geographical proximity. Also, network effects are significantly related to collaboration choice. Moreover, the study shows that the impact of geographical effects increases for more intensive collaboration. The results are promising since a deeper understanding of these collaboration processes is needed for future governance of research policies in the EU.

Journal

Industry & InnovationTaylor & Francis

Published: Jan 1, 2011

Keywords: R&D collaboration; network formation; EU Framework Programmes; discrete choice model; ordered logistic regression

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