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Does technology affect network structure? - A quantitative analysis of collaborative research projects in two specific EU programmes

Author

Listed:
  • Roediger-Schluga, Thomas

    (Department of Technology Policy, ARC systems research)

  • Dachs, Bernhard

    (Department of Technology Policy, ARC systems research)

Abstract
The promotion of collaborative R&D through Framework Programmes is a top priority of European RTD policy. However, despite the considerable sums involved, surprisingly little is known about the structure of the resulting research networks. Arguing that the underlying technological regime critically affects the structure of collaborative R&D, this article examines the structure and topology of collaborative research networks in the telecommunications and the agro-industrial industry in two specific programmes of the 4th EU Framework Programme. We find systematic differences which we attribute to differences in the underlying knowledge base, the research trajectories pursued in EU-funded R&D and the organisation of knowledge production in the two industries. As expected on the basis of prior research, we show that collaborative research projects involve a larger number of partners and require greater funding in the telecommunications industry, and that actors from science are positioned more prominently in the agro-industrial collaborative R&D network. Contrary to expectations, we find fewer and less intense interactions between science and industry in the agro-industrial industry. We provide a tentative explanation for this result and discuss policy implications.

Suggested Citation

  • Roediger-Schluga, Thomas & Dachs, Bernhard, 2006. "Does technology affect network structure? - A quantitative analysis of collaborative research projects in two specific EU programmes," MERIT Working Papers 2006-041, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  • Handle: RePEc:unm:unumer:2006041
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    File URL: https://unu-merit.nl/publications/wppdf/2006/wp2006-041.pdf
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    References listed on IDEAS

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    Cited by:

    1. José Luis Ortega & Isidro F. Aguillo, 2010. "Shaping the European research collaboration in the 6th Framework Programme health thematic area through network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 377-386, October.
    2. Daniela Cagno & Andrea Fabrizi & Valentina Meliciani, 2014. "The impact of participation in European joint research projects on knowledge creation and economic growth," The Journal of Technology Transfer, Springer, vol. 39(6), pages 836-858, December.
    3. José Luis Ortega & Isidro F. Aguillo, 2010. "Network collaboration in the 6th Framework Programmes: country participation in the health thematic area," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 835-844, September.
    4. Edward Bergman & Gunther Maier, 2009. "Network central: regional positioning for innovative advantage," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(3), pages 615-644, September.
    5. José Luis Ortega & Isidro F. Aguillo, 2010. "Describing national science and technology systems through a multivariate approach: country participation in the 6th Framework Programmes," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 321-330, August.

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    More about this item

    Keywords

    framework programmes; research collaborations; technological regime; sectoral innovation system; social network analysis; science-industry interactions;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other

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