Spatial Interaction Modelling of Cross-Region R&D Collaborations: Empirical Evidence from the 5th EU Framework Programme
Thomas Scherngell, Michael J. Barber

TL;DR
This study models cross-region R&D collaborations in Europe, revealing that geographical proximity, technological similarity, and border effects significantly influence collaboration intensity, with technological proximity being the most impactful.
Contribution
It introduces a Poisson spatial interaction model to analyze the effects of geography and technology on cross-region R&D collaborations in Europe.
Findings
Geographical proximity strongly influences collaboration intensity.
Technological proximity has a greater effect than spatial effects.
Border effects are present but less significant.
Abstract
The last few years have witnessed an increasing interest in the geography of innovation. As noted by Autant-Bernard et al. (2007a), the geographical dimension of innovation deserves further attention by analysing such phenomena as R&D collaborations. In this study we focus on cross-region R&D collaborations in Europe. The European coverage is achieved by using data on collaborative R&D projects funded by the EU Framework Programmes (FPs) between organisation that are located in 255 NUTS-2 regions of the 25 pre-2007 EU member-states, as well as Norway and Switzerland. The objective is to identify separation effects - such as geographical or technological effects - on the constitution of cross-region collaborative R&D activities. We specify a Poisson spatial interaction model to analyse these questions. The dependent variable is the intensity of cross-region R&D collaborations, the…
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