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Participations to European Framework Programs of higher education institutions and their association with organizational characteristics

Author

Listed:
  • Benedetto Lepori

    (Universitá della Svizzera Italiana)

  • Valerio Veglio

    (Universitá della Svizzera Italiana)

  • Barbara Heller-Schuh

    (AIT Austrian Institute of Technology GmbH)

  • Thomas Scherngell

    (AIT Austrian Institute of Technology GmbH)

  • Michael Barber

    (AIT Austrian Institute of Technology GmbH)

Abstract

This paper aims to analyze patterns of participation of higher education institutions (HEIs) to European Framework Programs (EU-FP) and their association with HEI characteristics, country and geographical effects. We have analyzed a sample of 2235 HEIs in 30 countries in Europe, derived from the European Tertiary Education Register (ETER), which has been matched with data on participations in EU-FPs in 2011 using the EUPRO database. Our findings identified (1) a high concentration of EU-FP participation in a small group of HEIs with high reputation; (2) the participation of non-doctorate awarding HEIs in EU-FPs is very limited despite the fact that they account for a significant share of tertiary student enrolments; (3) the number of participations tends to increase proportionally to organizational size, and is strongly influenced by international reputation; (5) there is limited evidence of significant country effects in EU-FP participations, as well as of the impact of distance from Brussels. We interpret these results as an outcome of the close association between HEI reputation and the network structure of EU-FP participants.

Suggested Citation

  • Benedetto Lepori & Valerio Veglio & Barbara Heller-Schuh & Thomas Scherngell & Michael Barber, 2015. "Participations to European Framework Programs of higher education institutions and their association with organizational characteristics," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2149-2178, December.
    • Handle: RePEc:spr:scient:v:105:y:2015:i:3:d:10.1007_s11192-015-1768-2
    DOI: 10.1007/s11192-015-1768-2
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    2. Dimitrios Pontikakis & Mathieu Doussineau & Nicholas Harrap & Mark Boden, 2018. "Mobilising European Structural and Investment Funds and Horizon 2020 in support of innovation in less developed regions," JRC Research Reports JRC112442, Joint Research Centre.
    3. Simen G. Enger & Fulvio Castellacci, 2016. "Who gets Horizon 2020 research grants? Propensity to apply and probability to succeed in a two-step analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1611-1638, December.
    4. Andrea Ancona & Roy Cerqueti & Gianluca Vagnani, 2023. "A novel methodology to disambiguate organization names: an application to EU Framework Programmes data," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4447-4474, August.
    5. repec:ces:ifofor:v:19:y:2018:i:1:p:16-23 is not listed on IDEAS
    6. Marco Cavallaro & Benedetto Lepori, 2021. "Institutional barriers to participation in EU framework programs: contrasting the Swiss and UK cases," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1311-1328, February.
    7. Fredrik Niclas Piro, 2019. "The R&D composition of European countries: concentrated versus dispersed profiles," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1095-1119, May.
    8. Benedetto Lepori & Aldo Geuna & Valerio Veglio, 2017. "A Typology of European Research Universities. Differentiation, Layering and Resource Distribution," SPRU Working Paper Series 2017-01, SPRU - Science Policy Research Unit, University of Sussex Business School.
    9. Bertoni, Marco & Brunello, Giorgio & Checchi, Daniele & Rocco, Lorenzo, 2021. "Where do I stand? Assessing researchers’ beliefs about their productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 61-80.
    10. Peiffer-Smadja, Océane & Mitra, Alessio & Ravet, Julien & Di Girolamo, Valentina, 2023. "The road to success: how regional innovation ecosystems can improve participation in the European Framework Programme for R&I," EconStor Preprints 283908, ZBW - Leibniz Information Centre for Economics.
    11. Bertoni, Marco & Brunello, Giorgio & Checchi, Daniele & Rocco, Lorenzo, 2020. "Where Do I Stand? Assessing Researchers' Beliefs about Their Relative Productivity," IZA Discussion Papers 13637, Institute of Labor Economics (IZA).
    12. Seeber, Marco & Alon, Ilan & Pina, David G. & Piro, Fredrik Niclas & Seeber, Michele, 2022. "Predictors of applying for and winning an ERC Proof-of-Concept grant: An automated machine learning model," Technological Forecasting and Social Change, Elsevier, vol. 184(C).

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