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

25 Pages Posted: 3 Aug 2004 Last revised: 17 Feb 2015

See all articles by Kris Aerts

Kris Aerts

KU Leuven Research & Development (LRD)

Dirk Czarnitzki

KU Leuven - Department of Managerial Economics, Strategy, and Innovation; Centre for European Economic Research (ZEW)

Date Written: August 2004

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

JEL Classification: C14, C25, H50, O38

Suggested Citation

Aerts, Kris and Czarnitzki, Dirk, Using Innovation Survey Data to Evaluate R&D Policy: The Case of Belgium (August 2004). ZEW - Centre for European Economic Research Discussion Paper No. 04-055, Available at SSRN: https://ssrn.com/abstract=572086 or http://dx.doi.org/10.2139/ssrn.572086

Kris Aerts (Contact Author)

KU Leuven Research & Development (LRD) ( email )

Waaistraat 6 P.B. 5105
Leuven, 3000
Belgium

Dirk Czarnitzki

KU Leuven - Department of Managerial Economics, Strategy, and Innovation ( email )

Naamsestraat 69 bus 3500
Leuven, 3000
Belgium

Centre for European Economic Research (ZEW) ( email )

P.O. Box 10 34 43
Mannheim, 68034
Germany

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