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How can innovation economics benefit from complex network analysis?

Author

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  • Brigitte GAY (LEREPS-GRES)

Abstract

There is a deficit in economics of theories and empirical data on complex networks, though mathematicians, physicists, biologists, computer scientists, and sociologists are actively engaged in their study. This paper offers a focused review of prominent concepts in contemporary thinking in network research that may motivate further theoretical research and stimulate interest of economists. Possible avenues for modelling innovation, considered the driving force behind economic change, have been explored. A transition is needed from the analysis in economics of the transaction to the explicit examination of market structure and how it processes, or is processed by, innovation.

Suggested Citation

  • Brigitte GAY (LEREPS-GRES), 2007. "How can innovation economics benefit from complex network analysis?," Cahiers du GRES (2002-2009) 2007-12, Groupement de Recherches Economiques et Sociales.
  • Handle: RePEc:grs:wpegrs:2007-12
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    File URL: http://cahiersdugres.u-bordeaux4.fr/2007/2007-12.pdf
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    Cited by:

    1. Merza, Ádám & London, András & Kiss, István Márton & Pelle, Anita & Dombi, József & Németh, Tamás, 2016. "A világkereskedelem hálózatelméleti vizsgálatának lehetőségeiről [The scope for analysis of world trade through network theory]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 79-98.

    More about this item

    Keywords

    Network; statistics; economy; innovation; modelling;
    All these keywords.

    JEL classification:

    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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