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Gaining the competitive edge using internal and external spillovers: a dynamic analysis

  • Bischi, G.-I.
  • Dawid, H.
  • Kopel, M.

This paper studies the evolution of two clusters of firms competing on a common market. Firms exit and enter a cluster based on the perceived chances for profits inside and outside the cluster. Information about profits are diffused by direct communication between firms. Internal and external spillover effects reduce the overall costs of firms in the clusters depending on the number of firms in the own and the competing cluster. A discrete time deterministic dynamical system describing the evolution of cluster sizes is derived. An analysis of the long run attractors of the system and their basins of attraction is used to compare the effects of advantages of a cluster with respect to the size of internal and external spillover effects, respectively. Furthermore, the implications of slow and fast exit and entry behavior of firms for the long run survival and the size of the clusters are studied.

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Article provided by Elsevier in its journal Journal of Economic Dynamics and Control.

Volume (Year): 27 (2003)
Issue (Month): 11 ()
Pages: 2171-2193

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Handle: RePEc:eee:dyncon:v:27:y:2003:i:11:p:2171-2193
Contact details of provider: Web page: http://www.elsevier.com/locate/jedc

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  1. Glenn Ellison & Edward L. Glaeser, 1994. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," NBER Working Papers 4840, National Bureau of Economic Research, Inc.
  2. Keith Head & John Ries & Deborah Swenson, 1994. "Agglomeration Benefits and Location Choice: Evidence from Japanese Manufacturing Investment in the United States," NBER Working Papers 4767, National Bureau of Economic Research, Inc.
  3. Guy Dumais & Glenn Ellison & Edward L Glaeser, 1998. "Geographic Concentration as a Dynamic Process," Working Papers 98-3, Center for Economic Studies, U.S. Census Bureau.
  4. Paul Krugman, 1990. "Increasing Returns and Economic Geography," NBER Working Papers 3275, National Bureau of Economic Research, Inc.
  5. Ellison, Glenn & Fudenberg, Drew, 1992. "Rules of Thumb for Social Learning," IDEI Working Papers 17, Institut d'Économie Industrielle (IDEI), Toulouse.
  6. Bischi, Gian Italo & Gardini, Laura & Kopel, Michael, 2000. "Analysis of global bifurcations in a market share attraction model," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 855-879, June.
  7. A. Banerjee & Drew Fudenberg, 2010. "Word-of-Mouth Communication and Social Learning," Levine's Working Paper Archive 425, David K. Levine.
  8. Quah, Danny, 2000. "Internet cluster emergence," European Economic Review, Elsevier, vol. 44(4-6), pages 1032-1044, May.
  9. Hopenhayn, Hugo A, 1992. "Entry, Exit, and Firm Dynamics in Long Run Equilibrium," Econometrica, Econometric Society, vol. 60(5), pages 1127-50, September.
  10. Danny Quah, 2000. "Internet Cluster Emergence," CEP Discussion Papers dp0441, Centre for Economic Performance, LSE.
  11. Bischi, G. -I. & Dawid, H. & Kopel, M., 2003. "Spillover effects and the evolution of firm clusters," Journal of Economic Behavior & Organization, Elsevier, vol. 50(1), pages 47-75, January.
  12. Bischi, Gian Italo & Kopel, Michael, 2001. "Equilibrium selection in a nonlinear duopoly game with adaptive expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 46(1), pages 73-100, September.
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