Complementarity of additionalities resulting from European Union funds

Perspective of the users of research infrastructures

Bibliographic Data

ID7998403
AuthorsScott W Hegerty (0000-0002-0999-561X, Northeastern Illinois University), Arkadiusz Michał Kowalski (0000-0002-0857-352X, SGH Warsaw School of Economics), Małgorzata Stefania Lewandowska (0000-0002-5778-8009, SGH Warsaw School of Economics, corresponding author)
Year2022
Volume40
Issue2
Pages307-331
Publication date2022-05-09
Open AccessYes
TypeARTICLE
VenueReview of Policy Research (JOURNAL)
Journal identifiersISSN: 1541-132X • E-ISSN: 1541-1338
PublisherWiley (PUBLISHER • GB)
DOI10.1111/ropr.12480
OpenAlexW4229373889
LanguageEN
Citations received2
References cited60

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

Additionality · Business · Complementarity (molecular biology · Economics · European union · Index (typography · International economics · Public economics · Scope (computer science · Computer Science · Energy, Environment, Economic Growth · Innovation Policy and RD · Regional Development and Policy

Tools

Open DOIOpen Access