Competing R&D Strategies in an Evolutionary IndustryModel

  • Authors:
  • Murat Yildizoglu

  • Affiliations:
  • IFREDE-E3i. Université/ Montesquieu Bordeaux IV, Avenue Lé/on Duguit, F-33608 PESSAC/ E-mail: yildi@montesquieu.u-bordeaux.fr/ Web: http://yildizoglu.montesquieu.u-bordeau ...

  • Venue:
  • Computational Economics - Special issue: Evolutionary processes in economics
  • Year:
  • 2002

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Abstract

This article aims to test the relevance of learning throughgenetic algorithms, in contrast to fixed R&D rules, in a simplifiedversion of the evolutionary industry model of Nelson and Winter.These two R&D strategies arecompared from the points of view of industry performance(welfare) and firms' relative performance (competitive edge):simulations results clearly show that learning is a source oftechnological and social efficiency as well as a means formarket domination.