Using Innovation Survey Data to Evaluate R&D Policy : The Case of Belgium

This study focuses on the impact of R&D policies in Flanders. We conduct a treatment effects analysis at the firm level to investigate possible crowdingout effects on the input side of the innovation process. Different specifications of R&D activity are considered as outcome variables in the treatment effects analysis. Applying a non-parametric matching, we conclude that subsidized firms would have invested significantly less in R&D activities, on average, if they had not received public R&D funding. Thus, crowding-out effects can be rejected in this case

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Year of publication:	2015
Authors:	Aerts, Kris ; Czarnitzki, Dirk
Publisher:	[S.l.] : SSRN
Subject:	Belgien \| Belgium \| Innovation \| Technologiepolitik \| Technology policy \| Wirkungsanalyse \| Impact assessment \| Industrieforschung \| Industrial research \| Forschungsfinanzierung \| Research funding \| Schätzung \| Estimation \| Verdrängungseffekt \| Crowding out

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