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Assessing the scientific and technological output of EU Framework Programmes: evidence from the FP6 projects in the ICT field

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  • Stefano Breschi

    (Università Commerciale L. Bocconi)

  • Franco Malerba

    (Università Commerciale L. Bocconi)

Abstract

This paper provides a quantitative assessment of the scientific and technological productivity of FP6 projects by exploiting a new database on articles and patents resulting from EU funded projects. Starting from the FP6, the design of the European technology policy has undergone significant changes with the introduction of new funding instruments aimed at achieving a “critical mass” of resources. Our empirical results provide support to the concerns, expressed by several observers, regarding the fact that the new funding instruments may have resulted in artificially “too large” research consortia. The available empirical evidence shows that scientific productivity increases with the number of participants following a U-inverted shape, thereby indicating the existence of decreasing marginal returns to an increase in the size of research consortia. A second key result of the paper is related to the existence of significant differences of performance among funding instruments. In particular, after accounting for the larger amount of resources allocated to them, Integrated Projects perform less well in terms of scientific output than both STRePs and Networks of Excellence and they do not exhibit a superior performance than STRePs in terms of patent applications.

Suggested Citation

  • Stefano Breschi & Franco Malerba, 2011. "Assessing the scientific and technological output of EU Framework Programmes: evidence from the FP6 projects in the ICT field," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 239-257, July.
    • Handle: RePEc:spr:scient:v:88:y:2011:i:1:d:10.1007_s11192-011-0378-x
    DOI: 10.1007/s11192-011-0378-x
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    References listed on IDEAS

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    2. Jordi Ardanuy & Llorenç Arguimbau & Ángel Borrego, 2022. "Social sciences and humanities research funded under the European Union Sixth Framework Programme (2002–2006): a long-term assessment of projects, acknowledgements and publications," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    3. Seongkyoon Jeong & Jae Young Choi, 2012. "The taxonomy of research collaboration in science and technology: evidence from mechanical research through probabilistic clustering analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 719-735, June.
    4. Zhou Mo & Zhang Yujie & Lei Jiasu & Tan Xiaowen, 2022. "Early firm engagement, government research funding, and the privatization of public knowledge," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4797-4826, August.
    5. Ping Zhou & Huibao Tian, 2014. "Funded collaboration research in mathematics in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 695-715, June.
    6. Daniel Nepelski & Vincent Roy & Annarosa Pesole, 2019. "The organisational and geographic diversity and innovation potential of EU-funded research networks," The Journal of Technology Transfer, Springer, vol. 44(2), pages 359-380, April.
    7. Stephen Roper & James H. Love, 2018. "Knowledge context, learning and innovation: an integrating framework," Industry and Innovation, Taylor & Francis Journals, vol. 25(4), pages 339-364, April.
    8. María-Antonia Ovalle-Perandones & Juan Gorraiz & Martin Wieland & Christian Gumpenberger & Carlos Olmeda-Gómez, 2013. "The influence of European Framework Programmes on scientific collaboration in nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(1), pages 59-74, October.
    9. Star X. Zhao & Wen Lou & Alice M. Tan & Shuang Yu, 2018. "Do funded papers attract more usage?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 153-168, April.

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