Arbeitspapier

The causal effects of R&D grants: Evidence from a regression discontinuity

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.

Language
Englisch

Bibliographic citation
Series: LEM Working Paper Series ; No. 2020/18

Classification
Wirtschaft
Firm Behavior: Empirical Analysis
Investment Banking; Venture Capital; Brokerage; Ratings and Ratings Agencies
Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
Enterprise Policy
Innovation and Invention: Processes and Incentives
Subject
Regression discontinuity design
Research and development
Innovation Policy
SMEs

Event
Geistige Schöpfung
(who)
Santoleri, Pietro
Mina, Andrea
Di Minin, Alberto
Martelli, Irene
Event
Veröffentlichung
(who)
Scuola Superiore Sant'Anna, Laboratory of Economics and Management (LEM)
(where)
Pisa
(when)
2020

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Santoleri, Pietro
  • Mina, Andrea
  • Di Minin, Alberto
  • Martelli, Irene
  • Scuola Superiore Sant'Anna, Laboratory of Economics and Management (LEM)

Time of origin

  • 2020

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