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

Kris Aerts and Dirk Czarnitzki

No 04-55, ZEW Discussion Papers from ZEW - Leibniz Centre for European Economic Research

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 (search for similar items in EconPapers)
JEL-codes: C14 C25 H50 O38 (search for similar items in EconPapers)
Date: 2004
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Citations: View citations in EconPapers (51)

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Persistent link: https://EconPapers.repec.org/RePEc:zbw:zewdip:2193

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