Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/24064
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dc.contributor.authorAerts, Krisen_US
dc.contributor.authorCzarnitzki, Dirken_US
dc.date.accessioned2009-02-16T14:48:25Z-
dc.date.available2009-02-16T14:48:25Z-
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/10419/24064-
dc.description.abstractThis 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.en_US
dc.language.isoengen_US
dc.publisher|aZentrum für Europäische Wirtschaftsforschung (ZEW) |cMannheim-
dc.relation.ispartofseries|aZEW Discussion Papers |x04-55en_US
dc.subject.jelO38en_US
dc.subject.jelC25en_US
dc.subject.jelC14en_US
dc.subject.jelH50en_US
dc.subject.ddc330en_US
dc.subject.keywordR&Den_US
dc.subject.keywordSubsidiesen_US
dc.subject.keywordPolicy Evaluationen_US
dc.subject.keywordNon-parametric matchingen_US
dc.subject.stwForschungs- und Technologiepolitiken_US
dc.subject.stwForschungssubventionen_US
dc.subject.stwWirtschaftspolitische Wirkungsanalyseen_US
dc.subject.stwInnovationen_US
dc.subject.stwIndustrielle Forschungen_US
dc.subject.stwCrowding outen_US
dc.subject.stwSchätzungen_US
dc.subject.stwBelgienen_US
dc.titleUsing Innovation Survey Data to Evaluate R&D Policy: The Case of Belgiumen_US
dc.typeWorking Paperen_US
dc.identifier.ppn392677008en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
dc.identifier.repecRePEc:zbw:zewdip:2193-

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