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

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  • Modou Mar

    (GAEL - Laboratoire d'Economie Appliquée de Grenoble - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INRA - Institut National de la Recherche Agronomique - CNRS - Centre National de la Recherche Scientifique - UGA [2016-2019] - Université Grenoble Alpes [2016-2019], UGA UFR FEG - Université Grenoble Alpes - Faculté d'Économie de Grenoble - UGA [2016-2019] - Université Grenoble Alpes [2016-2019])

  • Nadine Massard

    (GAEL - Laboratoire d'Economie Appliquée de Grenoble - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INRA - Institut National de la Recherche Agronomique - CNRS - Centre National de la Recherche Scientifique - UGA [2016-2019] - Université Grenoble Alpes [2016-2019], UGA UFR FEG - Université Grenoble Alpes - Faculté d'Économie de Grenoble - UGA [2016-2019] - Université Grenoble Alpes [2016-2019])

Abstract

We analyze financial markets in which agents face differential constraints on the set of assets in which they can trade. In particular, the assets available to each agent span a partition of the state space, which can be strictly coarser than the partition spanned by the assets available in the market. We first show that the existence of differential constraints has an impact on prices and allocations as compared to a complete financial market with unconstrained agents. We consider the implications for survival, taking the work of Blume and Easley (2006) as a starting point. We show that whenever agents have identical correct beliefs and equal discount factors, and their partitions are nested, all agents survive. When agents have heterogeneous beliefs, differential constraints may allow agents with wrong beliefs to survive. Provided constraints are relevant (in a sense we define more precisely), the condition for an agent to survive is that his survival index is at least as large as that of the agents with finer partitions. We also study the impact of deregulation (an increase in the set of assets available to some agents). Unless the agent can adopt beliefs that are closer to the truth on the newly refined partition than those of less constrained agents, increasing his opportunities for trade might harm his chances for survival.

Suggested Citation

  • Modou Mar & Nadine Massard, 2019. "Animate the cluster or subsidize collaborative R&D? A multiple overlapping treatments approach to assess the impact of the French cluster policy," Working Papers hal-02282971, HAL.
  • Handle: RePEc:hal:wpaper:hal-02282971
    Note: View the original document on HAL open archive server: https://hal.univ-grenoble-alpes.fr/hal-02282971
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    Cited by:

    1. Stefano Basilico & Uwe Cantner & Holger Graf, 2023. "Policy influence in the knowledge space: a regional application," The Journal of Technology Transfer, Springer, vol. 48(2), pages 591-622, April.
    2. Raphaël CHIAPPINI & Sophie POMMET, 2023. "The impact of public support for innovation on SME performance and efficiency," Bordeaux Economics Working Papers 2023-06, Bordeaux School of Economics (BSE).

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    More about this item

    Keywords

    Cluster Policy; Multiple Treatments; SMEs; Policy Evaluation; Conditional Difference-in-Difference;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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