Animate the cluster or subsidize collaborative R&D? A multiple overlapping treatments approach to assess the impact of the French cluster policy

M. Mar and Nadine Massard

Working Papers from Grenoble Applied Economics Laboratory (GAEL)

Abstract: This paper examines the effectiveness of the French competitiveness cluster policy on participating SMEs in terms of innovation and economic performance. Using an original dataset, we construct different measures of treatment with crossover designs. The findings indicate substantial additionality effects on R&D and employment and weak or insignificant effects on other types of economic performance. While only adhering to clusters induces much stronger positive impacts on SMEs than only participating in R&D collaborative projects, the policy is most effective when the two treatments are simultaneously used. To achieve its impact on SMEs, the cluster policy should not overlook low-cost instruments such as animation actions and common services.

Keywords: CLUSTER POLICY; MULTIPLE TREATMENTS; SMEs; POLICY EVALUATION; CONDITIONAL DIFFERENCE-IN-DIFFERENCE (search for similar items in EconPapers)
JEL-codes: C14 C21 O32 O38 (search for similar items in EconPapers)
Date: 2019
New Economics Papers: this item is included in nep-cse, nep-ent, nep-eur, nep-geo, nep-ino, nep-sbm and nep-ure
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https://gael.univ-grenoble-alpes.fr/sites/default/ ... 019/gael-2019-03.pdf (application/pdf)

Related works:
Journal Article: Animate the cluster or subsidize collaborative R&D? A multiple overlapping treatments approach to assess the impacts of the French cluster policy (2021)
Working Paper: Animate the cluster or subsidize collaborative R&D? A multiple overlapping treatments approach to assess the impacts of the French cluster policy (2021)
Working Paper: Animate the cluster or subsidize collaborative R&D? A multiple overlapping treatments approach to assess the impact of the French cluster policy (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:gbl:wpaper:2019-03

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