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Localized knowledge percolation processes and information networks

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  • Cristiano Antonelli

    (Laboratorio di Economia dell'Innovazione, Dipartimento di Economia, Universit, di Torino, via s'Ottavio 20, I-10124 Torino, Italy)

Abstract

The development of knowledge within industries is strongly influenced by the network structure of relations among firms. Firms relying on localized knowledge can implement their technological capability not only by means of research and development expenditures and internal learning but also through the systematic absorption of technological and scientific externalities available in their environment. Percolation processes have been studied in physics as the outcome of two classes of forces termed as connectivity and receptivity. The former measures the number of connections in place among the agents in the network and the latter the capability of each agent to absorb the informations received. This paper applies the methodology of percolation processes to operationalize the implications for both the economics of innovation and for technology policy of the structural characteristics of innovation networks as communication systems.

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Bibliographic Info

Article provided by Springer in its journal Journal of Evolutionary Economics.

Volume (Year): 6 (1996)
Issue (Month): 3 ()
Pages: 281-295

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Handle: RePEc:spr:joevec:v:6:y:1996:i:3:p:281-295

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Related research

Keywords: Localized knowledge ; Networks ; Receptivity ; Connectivity;

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Cited by:
  1. Verspagen, Bart & Maurseth, Per Botolf, 1998. "Knowledge Spillovers in Europe and its Consequences for Systems of Innovation," Eindhoven Center for Innovation Studies (ECIS) working paper series 98.1, Eindhoven Center for Innovation Studies (ECIS).
  2. Cantono Simona, 2012. "A percolation model of multi-technology diffusion: information feedbacks, learning economies and subsidy policy," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201205, University of Turin.
  3. Chris Hendry & James Brown & Robert Defillippi, 2000. "Regional Clustering of High Technology-based Firms: Opto-electronics in Three Countries," Regional Studies, Taylor & Francis Journals, vol. 34(2), pages 129-144.
  4. Chris Hendry & James Brown, 2006. "Dynamics of clustering and performance in the UK opto-electronics industry," Regional Studies, Taylor & Francis Journals, vol. 40(7), pages 707-725.
  5. William Comanor & Patrick Rey, 1997. "Competition Policy towards Vertical Restraints in Europe and the United States," Empirica, Springer, vol. 24(1), pages 37-52, January.
  6. Vona, Francesco & Patriarca, Fabrizio, 2011. "Income inequality and the development of environmental technologies," Ecological Economics, Elsevier, vol. 70(11), pages 2201-2213, September.
  7. Simona Cantono & Gerald Silverberg, 2008. "A percolation model of eco-innovation diffusion: the relationship between diffusion, learning economies and subsidies," MERIT Working Papers 025, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  8. Antonelli, Cristiano, 1997. "The economics of path-dependence in industrial organization," International Journal of Industrial Organization, Elsevier, vol. 15(6), pages 643-675, October.
  9. Samira Oukarfi & Maurice Baslé, 2009. "Public-sector financial incentives for business relocation and effectiveness measures based on company profile and geographic zone," The Annals of Regional Science, Springer, vol. 43(2), pages 509-526, June.
  10. Engelbrecht, Hans-Jurgen, 1998. "A communication perspective on the international information and knowledge system," Information Economics and Policy, Elsevier, vol. 10(3), pages 359-367, September.
  11. Cantono, Simona, 2012. "Unveiling diffusion dynamics: an autocatalytic percolation model of environmental innovation diffusion and the optimal dynamic path of adoption subsidies," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201222, University of Turin.

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