Inside the regional innovation system black box: Evidence from French data

Hervé Ott and Patrick Rondé (pronde@unistra.fr)
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Hervé Ott: JRC - European Commission - Joint Research Centre [Ispra]
Patrick Rondé: BETA - Bureau d'Économie Théorique et Appliquée - INRA - Institut National de la Recherche Agronomique - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique

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Abstract: The paper aims to support regional policy-makers who seek to understand the determinants of regional innovation dynamics. The challenge is to penetrate the black box of the RIS (Regional Innovation System) by identifying the building blocks and interaction processes that stimulate innovation at the regional level. Thanks to a creative database, the main originality of this study is to analyse regional innovation as a process of competences building. To test this explanatory model, a Knowledge Production Function is estimated at the regional level in France by using a simultaneous equations setting. Our results validate the systemic dimension of regional innovation and identify the most valuate input-output transmission mechanisms.

Keywords: Competences; Cross sectional estimation; Regional Innovation Systems; Spillovers; Simultaneous equation models (search for similar items in EconPapers)
Date: 2019-03-29
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Citations: View citations in EconPapers (3)

Published in Papers in Regional Science, 2019, 98 (5), pp.1993-2026. ⟨10.1111/pirs.12446⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02518258

DOI: 10.1111/pirs.12446

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