Are subsidies to business R&D effective? Regression discontinuity evidence from the TA CR ALFA programme

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985998%3A_____%2F23%3A00573283" target="_blank" >RIV/67985998:_____/23:00573283 - isvavai.cz</a>

Výsledek na webu

<a href="https://idea.cerge-ei.cz/files/IDEA_Studie_07_2023_TACR/files/extfile/IDEA_Studie_07_2023_TACR.pdf" target="_blank" >https://idea.cerge-ei.cz/files/IDEA_Studie_07_2023_TACR/files/extfile/IDEA_Studie_07_2023_TACR.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Are subsidies to business R&D effective? Regression discontinuity evidence from the TA CR ALFA programme

Popis výsledku v původním jazyce

Governments subsidise business research and experimental development (R&D) to promote development of the economy, because externalities and information asymmetries inherent to the innovation process make private funding of these activities fall short of what is socially desirable. Nevertheless, how effective such subsidies are and whether they achieve their goals is an open question that needs to be studied empirically. This study leverages the state-of-the-art method of regression discontinuity (RD) that allows us to come very close to making causal inferences about the effects of subsidies, to find out whether the Technology Agency of the Czech Republic’s (TA CR) ALFA programme stimulated new business R&D inputs, outputs, and positive economic impacts that would not have happened otherwise.

Název v anglickém jazyce

Are subsidies to business R&D effective? Regression discontinuity evidence from the TA CR ALFA programme

Popis výsledku anglicky

Governments subsidise business research and experimental development (R&D) to promote development of the economy, because externalities and information asymmetries inherent to the innovation process make private funding of these activities fall short of what is socially desirable. Nevertheless, how effective such subsidies are and whether they achieve their goals is an open question that needs to be studied empirically. This study leverages the state-of-the-art method of regression discontinuity (RD) that allows us to come very close to making causal inferences about the effects of subsidies, to find out whether the Technology Agency of the Czech Republic’s (TA CR) ALFA programme stimulated new business R&D inputs, outputs, and positive economic impacts that would not have happened otherwise.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů