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http://hdl.handle.net/10419/24064
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| Titel: | | Using Innovation Survey Data to Evaluate R&D Policy: The Case of Belgium  |
| Autoren: | | Aerts, Kris Czarnitzki, Dirk |
| Datum: | | 2004 |
| Reihe/Nr.: | | ZEW Discussion Papers 04-55 |
| Zusammenfassung: | | 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. |
| Schlagwörter: | | R&D Subsidies Policy Evaluation Non-parametric matching |
| JEL: | | O38 C25 C14 H50 |
| Erscheint in der Sammlung: | | ZEW Discussion Papers
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| Datei(en):
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Größe | Format |
| dp0455.pdf | | 383.13 kB | Adobe PDF |
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