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Learning from Disaster

Author

Listed:
  • Robin Cowan

    (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, UNU-MERIT - UNU-MERIT - United Nations University - Maastricht University)

  • Emmanuelle Fauchart

    (CECO - Laboratoire d'économétrie de l'École polytechnique - X - École polytechnique - CNRS - Centre National de la Recherche Scientifique, CNAM-INTEC - Institut national des techniques économiques et comptables [Paris] - CNAM - Conservatoire National des Arts et Métiers [CNAM] - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université)

  • Dominique Foray

    (EPFL - Ecole Polytechnique Fédérale de Lausanne)

  • Philip Gunby

    (University of Canterbury [Christchurch])

Abstract

This book focuses on knowledge-based economies and attempts to analyze dynamic innovation driven processes within those economies. It shows that evolutionary economics, and in particular the strand of applied industry and innovation studies often called Neo-Schumpeterian economics, has left the nursery of new academic approaches and is able to offer important insights for the understanding of socio-economic processes of change and development having a strong impact on economic reality all over the world. The contributions are summarized under four major sections – knowledge and cognition, studies of knowledge-based industries, the geographical dimension of knowledge-based economies and measuring and modelling for knowledge-based economies – and give a broad overview of the prolific research being undertaken in applied evolutionary economics.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Robin Cowan & Emmanuelle Fauchart & Dominique Foray & Philip Gunby, 2006. "Learning from Disaster," Post-Print hal-00279473, HAL.
    • Handle: RePEc:hal:journl:hal-00279473
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