, Volume 109, Issue 3, pp 1611–1638 | Cite as

Who gets Horizon 2020 research grants? Propensity to apply and probability to succeed in a two-step analysis

  • Simen G. EngerEmail author
  • Fulvio Castellacci


This paper presents a timely analysis of participation in the 8th European Framework Programme for Research and Innovation (EU FP) Horizon 2020. Our dataset comprises the entire population of research organizations in Norway, enabling us to distinguish between non-applicants, non-successful applicants, and successful participants. We find it important to distinguish two stages of the participation process: the self-selection stage in which organizations decide whether they wish to apply for EU funding, and the second stage in which the European Commission selects the best applications for funding. Our econometric results indicate that the propensity to apply is enhanced by prior participation in EU FPs and the existence of complementary national funding schemes; further, that the probability of succeeding is strengthened by prior participation as well as the scientific reputation of the applicant organization.


Horizon 2020 EU Framework Programs Research funding Research policy Higher education institutions Public research organizations 



We would like to thank two anonymous referees of this journal for valuable comments and suggestions. The authors are solely responsible for any remaining error and omission. Work on this paper was supported by the Norwegian Research Council’s Public Sector Ph.D. Program (Grant Number 246964/H20).


  1. Annerberg, R., Begg, I., Acherson, H., Borrás, S., Hallen, A., Maimets, T., et al. (2010). Interim evaluation of the seventh framework programme: Report of the expert group. Brussels: European Commission.Google Scholar
  2. Breschi, S., Cassi, L., Malerba, F., & Vonortas, N. S. (2009). Networked research: European policy intervention in ICTs. Technology Analysis & Strategic Management, 21(7), 833–857.CrossRefGoogle Scholar
  3. Breschi, S., & Cusmano, L. (2004). Unveiling the texture of a European Research Area: Emergence of oligarchic networks under EU Framework Programmes. International Journal of Technology Management, 27(8), 747–772.CrossRefGoogle Scholar
  4. Caliendo, M., & Kopeinig, S. (2008). Some practical guidance for the implementation of propensity score matching. Journal of economic surveys, 22(1), 31–72. doi: 10.1111/j.1467-6419.2007.00527.x.CrossRefGoogle Scholar
  5. Cerulli, G. (2010). Modelling and measuring the effect of public subsidies on business R&D: A critical review of the econometric literature. Economic Record, 86(274), 421–449.CrossRefGoogle Scholar
  6. Defazio, D., Lockett, A., & Wright, M. (2009). Funding incentives, collaborative dynamics and scientific productivity: Evidence from the EU framework program. Research Policy, 38(2), 293–305.CrossRefGoogle Scholar
  7. Di Cagno, D., Fabrizi, A., & Meliciani, V. (2014). The impact of participation in European joint research projects on knowledge creation and economic growth. The Journal of Technology Transfer, 39(6), 836–858.CrossRefGoogle Scholar
  8. Dinges, M., & Lepori, B. (2006). Public project funding of research activities: National differences and implications for the creation of a European Research Council. Paper presented at the Platform fteval Conference—New Frontiers in Evaluation, 24–25 April.Google Scholar
  9. Eurostat. (2008). Statistical regions for the EFTA countries and candidate countries. Brussels: European Commission.Google Scholar
  10. Geuna, A. (1996). The participation of higher education institutions in European Union Framework Programmes. Science and Public Policy, 23(5), 287–296.Google Scholar
  11. Geuna, A. (1998). Determinants of university participation in EU-funded R&D cooperative projects. Research Policy, 26(6), 677–687.CrossRefGoogle Scholar
  12. Godø, H., Langfeldt, L., & Kaloudis, A. (2009). In need of a better framework for success: An evaluation of the Norwegian participation in the EU 6th Framework Programme (2003–2006) and the first part of the EU 7th Framework Programme (2007–2008). Oslo: NIFU STEP.CrossRefGoogle Scholar
  13. Gornitzka, Å., & Langfeldt, L. (2008). The internationalisation of national knowledge policies. In A. Gornitzka & L. Langfeldt (Eds.), Borderless knowledge. Understanding the “New” Internationalisation of Research and Higher Education in Norway (Vol. 22, pp. 141–169). Amsterdam: Springer.Google Scholar
  14. Greene, W. H. (1994). Accounting for excess zeros and sample selection in Poisson and negative binomial regression models. New York University, Stern School of Business, Working paper 94-10, 3.Google Scholar
  15. Hakala, J., Kutinlahti, P., & Kaukonen, E. (2002). Becoming international, becoming European: EU research collaboration at Finnish universities. Innovation: The European Journal of Social Science Research, 15(4), 357–379.Google Scholar
  16. Heckman, J. J. (1979). Sample selection bias as a specification error. Econometrica: Journal of the Econometric Society, 47(1), 153–161.MathSciNetCrossRefzbMATHGoogle Scholar
  17. Henriques, L., Schoen, A., & Pontikakis, D. (2009). Europe’s top research universities in FP6: Scope and drivers of participation. JRC Technical Notes (Vol. 53681): European Commission.Google Scholar
  18. Hoekman, J., Scherngell, T., Frenken, K., & Tijssen, R. (2012). Acquisition of European research funds and its effect on international scientific collaboration. Journal of Economic Geography, 1–30. doi: 10.1093/jeg/lbs011.
  19. Langfeldt, L., Godø, H., Gornitzka, Å., & Kaloudis, A. (2012). Integration modes in EU research: Centrifugality versus coordination of national research policies. Science and Public Policy, 39(1), 88–98.CrossRefGoogle Scholar
  20. Laredo, P. (1998). The networks promoted by the framework programme and the questions they raise about its formulation and implementation. Research Policy, 27(6), 589–598.CrossRefGoogle Scholar
  21. Lepori, B., Veglio, V., Heller-Schuh, B., Scherngell, T., & Barber, M. (2015). Participations to European Framework Programs of higher education institutions and their association with organizational characteristics. Scientometrics, 105(3), 2149–2178. doi: 10.1007/s11192-015-1768-2.CrossRefGoogle Scholar
  22. Luukkonen, T. (1998). The difficulties in assessing the impact of EU framework programmes. Research Policy, 27(6), 599–610.CrossRefGoogle Scholar
  23. Luukkonen, T. (2000). Additionality of EU framework programmes. Research Policy, 29(6), 711–724.CrossRefGoogle Scholar
  24. Luukkonen, T., & Nedeva, M. (2010). Towards understanding integration in research and research policy. Research Policy, 39(5), 674–686.CrossRefGoogle Scholar
  25. Makkonen, T., & Mitze, T. (2016). Scientific collaboration between ‘old’ and ‘new’ member states: Did joining the European Union make a difference? Scientometrics, 106(3), 1–23.CrossRefGoogle Scholar
  26. Matt, M., Robin, S., & Wolff, S. (2012). The influence of public programs on inter-firm R&D collaboration strategies: Project-level evidence from EU FP5 and FP6. The Journal of Technology Transfer, 37(6), 885–916.CrossRefGoogle Scholar
  27. Miranda, A., & Rabe-Hesketh, S. (2006). Maximum likelihood estimation of endogenous switching and sample selection models for binary, ordinal, and count variables. Stata Journal, 6(3), 285–308.Google Scholar
  28. Nedeva, M. (2013). Between the global and the national: Organising European science. Research Policy, 42(1), 220–230.CrossRefGoogle Scholar
  29. Nokkala, T., Heller-Schuh, B., & Paier, M. (2011). Ranking lists and European Framework Programmes: Does university status matter for performance in Framework Programmes? In P. T. D. Dill (Ed.), Public vices, private virtues? Assessing the effects of marketization in higher education (pp. 111–139). Rotterdam: Sense Publishers.CrossRefGoogle Scholar
  30. Norwegian Ministry of Education and Research. (2014). Strategy for research and innovation cooperation with the EUHorizon 2020 and ERA. Oslo: Norwegian Ministry of Education and Research.Google Scholar
  31. Norwegian Ministry of Education and Research. (2015). Forskningsbarometeret 2015. Oslo: Norwegian Ministry of Education and Research.Google Scholar
  32. Okubo, Y., & Zitt, M. (2004). Searching for research integration across Europe: A closer look at international and inter-regional collaboration in France. Science and Public Policy, 31(3), 213–226.CrossRefGoogle Scholar
  33. Ortega, J. L., & Aguillo, I. F. (2010). Describing national science and technology systems through a multivariate approach: Country participation in the 6th Framework Programmes. Scientometrics, 84(2), 321–330.CrossRefGoogle Scholar
  34. Paier, M., & Scherngell, T. (2011). Determinants of collaboration in European R&D networks: Empirical evidence from a discrete choice model. Industry and Innovation, 18(1), 89–104.CrossRefGoogle Scholar
  35. Perumean-Chaney, S. E., Morgan, C., McDowall, D., & Aban, I. (2013). Zero-inflated and overdispersed: What’s one to do? Journal of Statistical Computation and Simulation, 83(9), 1671–1683. doi: 10.1080/00949655.2012.668550.MathSciNetCrossRefGoogle Scholar
  36. Polt, W., & Streicher, G. (2005). Trying to capture additionality in Framework Programme 5—Main findings. Science and Public Policy, 32(5), 367–373.CrossRefGoogle Scholar
  37. Primeri, E., & Reale, E. (2012). How Europe shapes academic research: Insights from participation in European union framework programmes. European Journal of Education, 47(1), 104–121.CrossRefGoogle Scholar
  38. Protogerou, A., Caloghirou, Y., & Siokas, E. (2010). Policy-driven collaborative research networks in Europe. Economics of Innovation and New Technology, 19(4), 349–372.CrossRefGoogle Scholar
  39. Research Council of Norway. (2015). Det norske forsknings- og innovasjonssystemet - statistikk og indikatorer. Oslo: Research Council of Norway.Google Scholar
  40. Roediger-Schluga, T., & Barber, M. J. (2008). R&D collaboration networks in the European Framework Programmes: Data processing, network construction and selected results. International Journal of Foresight and Innovation Policy, 4(3–4), 321–347.CrossRefGoogle Scholar
  41. Tijssen, R. J. (2008). Are we moving towards an integrated European Research Area? Some macro-level bibliometric perspectives. Collnet Journal of Scientometrics and Information Management, 2(1), 19–25.CrossRefGoogle Scholar
  42. Ukrainski, K., Masso, J., & Kanep, H. (2014). Cooperation patterns in science within Europe: The standpoint of small countries. Scientometrics, 99(3), 845–863.CrossRefGoogle Scholar
  43. Viner, N., Powell, P., & Green, R. (2004). Institutionalized biases in the award of research grants: A preliminary analysis revisiting the principle of accumulative advantage. Research Policy, 33(3), 443–454.CrossRefGoogle Scholar

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2016

Authors and Affiliations

  1. 1.Centre for Technology, Innovation and CultureUniversity of OsloOsloNorway
  2. 2.Department of ResearchNorwegian Ministry of Education and ResearchOsloNorway

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