Resource title

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

Resource image

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Resource description

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.

Resource author

Kris Aerts, Dirk Czarnitzki

Resource publisher

Resource publish date

Resource language

eng

Resource content type

text/html

Resource resource URL

http://hdl.handle.net/10419/24064

Resource license

Adapt according to the presented license agreement and reference the original author.