The causal effects of R&D grants: evidence from a regression discontinuity
Alberto Di Minin and
LEM Papers Series from Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy
Direct public support for business R&D is a well-established remedy to market failures, yet empirical evidence on its effectiveness yields conflicting results. The paper investigates the impact of the first European public R&D grant program targeting small and medium enterprises (i.e. the SME Instrument) on a wide range of firm outcomes. We leverage the assignment mechanisms of the policy and employ a sharp regression discontinuity design to provide the broadest quasi-experimental evidence on R&D grants over both geographical and sectoral scopes. Results show that grants trigger sizable impacts. They increase investment, notably in intangibles, and innovation outcomes as measured by cite-weighted patents; they trigger faster growth in assets, employment and revenues; they lead to higher likelihood of receiving follow-on equity financing and lower failure chances. These effects tend to be larger for firms that are smaller and younger, or operating in sectors characterized by higher financial frictions. Furthermore, responses are stronger in countries and regions with lower economic development. The paper provides extensive evidence that the beneficial effects of R&D grants materialize through funding rather than certification effects.
Keywords: Regression discontinuity design; Research and development; Innovation Policy; SMEs. (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cse, nep-ent, nep-ino, nep-knm, nep-ppm, nep-sbm and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ssa:lemwps:2020/18
Access Statistics for this paper
More papers in LEM Papers Series from Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy Contact information at EDIRC.
Bibliographic data for series maintained by ().