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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Dokumenttyp: | doc-type:workingPaper |
Erscheinungsdatum: | 2004 |
Verlag/Hrsg.: |
Mannheim: Zentrum für Europäische Wirtschaftsforschung (ZEW)
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Schlagwörter: | ddc:330 / O38 / C25 / C14 / H50 / R&D / Subsidies / Policy Evaluation / Non-parametric matching / Forschungs- und Technologiepolitik / Forschungssubvention / Wirtschaftspolitische Wirkungsanalyse / Innovation / Industrielle Forschung / Crowding out / Schätzung / Belgien |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-28510650 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | http://hdl.handle.net/10419/24064 |