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Title:Using Innovation Survey Data to Evaluate R&D Policy: The Case of Belgium PDF Logo
Authors:Aerts, Kris
Czarnitzki, Dirk
Issue Date:2004
Series/Report no.:ZEW Discussion Papers 04-55
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.
Subjects:R&D
Subsidies
Policy Evaluation
Non-parametric matching
JEL:O38
C25
C14
H50
Document Type:Working Paper
Appears in Collections:ZEW Discussion Papers
Publikationen von Forscherinnen und Forschern des ZEW

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