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Assessing the collaboration and network additionality of innovation policies: a counterfactual approach to the French cluster policy
[Propensity scores based methods for estimating average treatment effect and average treatment effect among treated: a comparative study]

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  • Konan Alain N’Ghauran
  • Corinne Autant-Bernard

Abstract

Whereas most collaboration-based innovation policies aim at fostering efficient ecosystems of innovation, evaluations of the behavioral impact of such policies remain few and far between. Relying on external-to-the-policy network data to build a counterfactual approach, this article addresses three main evaluation issues: do cluster policies make firms more collaborative? Do they encourage local ties? Do they induce network additionality? Focusing on French data, our results suggest that cluster policies may have difficulty in increasing the centrality of agents within knowledge networks.

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  • Konan Alain N’Ghauran & Corinne Autant-Bernard, 2021. "Assessing the collaboration and network additionality of innovation policies: a counterfactual approach to the French cluster policy [Propensity scores based methods for estimating average treatmen," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(6), pages 1403-1428.
  • Handle: RePEc:oup:indcch:v:30:y:2021:i:6:p:1403-1428.
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    File URL: http://hdl.handle.net/10.1093/icc/dtab017
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    Cited by:

    1. Tyurchev, Kirill, 2021. "Управление Инновационными Системами: От Национального До Локального Уровня [Management of Innovative Systems: From National to Local LeveL]," MPRA Paper 111908, University Library of Munich, Germany.

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