The work presented here is partly funded by the EU-FP6-NEST project NEMO (Network Models, Governance and R&D collaboration networks), contract number 028875. We thank three anonymous referees for valuable comments.
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Spatial interaction modelling of cross-region R&D collaborations: empirical evidence from the 5th EU framework programme†
Article first published online: 5 FEB 2009
DOI: 10.1111/j.1435-5957.2008.00215.x
© 2009 the author(s). Journal compilation © 2009 RSAI
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How to Cite
Scherngell, T. and Barber, M. J. (2009), Spatial interaction modelling of cross-region R&D collaborations: empirical evidence from the 5th EU framework programme. Papers in Regional Science, 88: 531–546. doi: 10.1111/j.1435-5957.2008.00215.x
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Publication History
- Issue published online: 5 AUG 2009
- Article first published online: 5 FEB 2009
- Received: 11 April 2008 / Accepted: 21 August 2008
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Keywords:
- O38;
- L14;
- R15
- Colaboraciones I+D;
- Programas Marco UE;
- difusión de conocimiento;
- modelos de interacción espacial de Poisson;
- regiones europeas
- R&D collaborations;
- EU Framework Programmes;
- knowledge diffusion;
- Poisson spatial interaction models;
- European regions
Abstract
The focus of this study is on cross-region R&D collaborations in Europe. We use data on collaborative R&D projects funded by the 5th EU Framework Programme (FP5). The objective is to identify separation effects – such as geographical or technological effects – on the constitution of cross-region collaborative R&D activities within a Poisson spatial interaction modelling framework. The results provide striking evidence that geographical factors are important determinants of cross-region collaboration intensities, but the effect of technological proximity is stronger. R&D collaborations occur most often between organizations that are located close to each other in technological space.
Resumen
El punto focal de este estudio son las colaboraciones interregionales de I+D en Europa. Utilizamos datos de proyectos de colaboración de I+D financiados por el 5° Programa Marco de la UE (FP5). El objetivo es identificar efectos de separación – tales como efectos geográficos o tecnológicos – en la planificación de actividades interregionales de colaboración en I+D dentro de un marco de modelización de interacción espacial de Poisson. Los resultados aportan pruebas contundentes de que los factores geográficos son determinantes importantes de las intensidades de colaboración interregionales, pero el efecto de la proximidad tecnológica tiene mayor influencia. Las colaboraciones de I+D suceden en su mayoría entre organizaciones situadas próximas unas a otras en un espacio tecnológico.
