Using Innovation Survey Data to Evaluate R&D Policy: The Case of Belgium
25 Pages Posted: 3 Aug 2004 Last revised: 17 Feb 2015
Date Written: August 2004
Abstract
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.
Keywords: R&D, subsidies, policy evaluation, non-parametric matching
JEL Classification: C14, C25, H50, O38
Suggested Citation: Suggested Citation
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