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Barriers to cross-region research and development collaborations in Europe. Evidence from the fifth European Framework Programme

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  • Fichet de Clairfontaine, Aurélien
  • Fischer, Manfred M.
  • Lata, Rafael
  • Paier, Manfred

Abstract

The focus of this paper is on cross-region R&D collaboration funded by the 5th EU Framework Programme (FP5). The objective is to measure distance, institutional, language and technological barrier effects that may hamper collaborative activities between European regions. Particular emphasis is laid on measuring discrepancies between two types of collaborative R&D activities, those generating output in terms of scientific publications and those that do not. The study area is composed of 255 NUTS-2 regions that cover the pre-2007 member states of the European Union (excluding Malta and Cyprus) as well as Norway and Switzerland. We employ a negative binomial spatial interaction model specification to address the research question, along with an eigenvector spatial filtering technique suggested by Fischer and Griffith (2008) to account for the presence of network autocorrelation in the origin-destination cooperation data. The study provides evidence that the role of geographic distance as collaborative deterrent is significantly lower if collaborations generate scientific output. Institutional barriers do not play a significant role for collaborations with scientific output. Language and technological barriers are smaller but the estimates indicate no significant discrepancies between the two types of collaborative R&D activities that are in focus of this study.

Suggested Citation

  • Fichet de Clairfontaine, Aurélien & Fischer, Manfred M. & Lata, Rafael & Paier, Manfred, 2014. "Barriers to cross-region research and development collaborations in Europe. Evidence from the fifth European Framework Programme," Working Papers in Regional Science 2014/02, WU Vienna University of Economics and Business.
  • Handle: RePEc:wiw:wus046:4454
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    Cited by:

    1. Dalia Streimikiene & Grigorios L. Kyriakopoulos, 2022. "Comparative Assessment of Research & Development and Quality of Life Indicators in Lithuania and Greece," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 24(Special16), pages 1014-1014, November.
    2. Oshan, Taylor M., 2020. "The spatial structure debate in spatial interaction modeling: 50 years on," OSF Preprints 42vxn, Center for Open Science.
    3. Sara Amoroso & Alex Coad & Nicola Grassano, 2018. "European R&D networks: a snapshot from the 7th EU Framework Programme," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 27(5-6), pages 404-419, August.
    4. Mafini Dosso & Antonio Vezzani, 2020. "Firm market valuation and intellectual property assets," Industry and Innovation, Taylor & Francis Journals, vol. 27(7), pages 705-729, August.
    5. Rafael Lata & Sidonia Proff & Thomas Brenner, 2018. "The influence of distance types on co-patenting and co-publishing in the USA and Europe over time," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(1), pages 49-71, July.
    6. Chen, Guanghua & Yang, Guoliang & He, Feng & Chen, Kaihua, 2019. "Exploring the effect of political borders on university-industry collaborative research performance: Evidence from China’s Guangdong province," Technovation, Elsevier, vol. 82, pages 58-69.
    7. Sara Amoroso & Alex Coad & Nicola Grassano, 2017. "European R&D networks: A snapshot from the 7th EU Framework Programme," JRC Working Papers on Corporate R&D and Innovation JRC107546, Joint Research Centre (Seville site).
    8. Yongwan Chun & Daniel A. Griffith & Monghyeon Lee & Parmanand Sinha, 2016. "Eigenvector selection with stepwise regression techniques to construct eigenvector spatial filters," Journal of Geographical Systems, Springer, vol. 18(1), pages 67-85, January.

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    More about this item

    Keywords

    Research collaboration; EU Framework Programme; Negative binomial spatial interaction model; Spatial filter methodology; European regions;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • O39 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Other
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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