This study provides new empirical evidence regarding the relevance of evaluation criteria and ﬁrm characteristics for public R&D funding decisions. The database used contains both accepted and rejected R&D project proposals, project evaluation scores, and several ﬁrm characteristics. The probit estimations show that proposals with high scores on innovative content, spillover, and knowledge gain are signiﬁcantly more likely to be approved and that most ﬁrm-level characteristics are not signiﬁcant, except for ﬁrm size. For example, good or very good assessments of innovative content raise the acceptance probability by between 18 and 37 percentage points, respectively. Small ﬁrms are more likely to receive a grant.
Science and Public Policy
Evaluation criteria versus firm characteristics as determinants of public R&D funding
Scientific Article in English