Complementarity of additionalities resulting from European Union funds: Perspective of the users of research infrastructures

The goal of this paper is to investigate the complementarity of three types of additionalities: input (growth of R&D investments), behavioral (changes in the internal processes of the entity), and output (leveraging social or private returns), occurring as the result of the 7th Framework Programme and Horizon 2020 European Union funds part INFRA. The empirical contribution is based on results of self-created questionnaires conducted in 2016 with the use of CATI/CAWI on the unique sample of N = 401 users of European Union research infrastructures from 32 countries. We create a Behavioral Additionality Index (BAI), which is a measurement tool that combines eight types (scale, scope, cognitive capacity, challenge, network, follow-up, management, and acceleration) of behavioral additionalities. Based on the results of a logistic regression, we find that there is a positive relationship between input and behavioral additionality, as well as between behavioral additionality and output additionality. This last link, however, is not shown to be strengthened by input additionality. No significant differences in the level of the BAI were found between EU countries based on their level of innovativeness as measured by the Summary Innovation Index (SII), although we can observe that less developed EU countries, as well as on non-EU countries, have higher BAI scores compared to developed ones. The overall results lead to the conclusion that the evaluation of public financial support has to be conducted not only for input, behavioral, and output additionalities separately, but must also take into account their complementarity—with its major focus on the behavioral aspects of this effect.