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Self-organised Criticality and Technological Convergence

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  • R. Andergassen
  • F. Nardini
  • M. Ricottilli

Abstract

The purpose of this paper is to investigate the evolutionary process of imitation and innovation as a process of searching in a given neighbourhood of firms. Networks are the main source of information for firms willing to actively search and upgrade and which define the reachable neighbourhood whose width is strictly related to cognitive distance. We have identified two major forms of information setting off innovative behaviour: the first comes in the shape of random events which are exogenous, at least in terms of the firms’ own search activity, while the second is determined by searching for technological opportunities in other economic sectors. It is this activity that generates the spreading of a new technological paradigm and that makes for technological convergence. All firms are a heterogeneous set of agents bounded by their competence, technological specificity and, more generally, rationality. The spreading of information through cognitive neighbourhoods allows firms to gradually acquire full knowledge leading to innovation waves. Imitation follows innovation as firms attempt to glean information on best practise techniques to join their sector technological leaders. Whilst innovators are temporarily allowed to reap quasi rents the imitative band wagon effect drives the profit rate down to its normal level. Productivity growth lowers the prices of sectors involved in the process of technological advance causing obsolescence and, thus, creative destruction in a Schumpeterian sense.

Suggested Citation

  • R. Andergassen & F. Nardini & M. Ricottilli, 2003. "Self-organised Criticality and Technological Convergence," Working Papers 469, Dipartimento Scienze Economiche, Universita' di Bologna.
  • Handle: RePEc:bol:bodewp:469
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    References listed on IDEAS

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    1. Iwai, Katsuhito, 1984. "Schumpeterian dynamics, Part II : Technological progress, firm growth and `economic selection'," Journal of Economic Behavior & Organization, Elsevier, vol. 5(3-4), pages 321-351.
    2. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    3. Auerswald, Philip & Kauffman, Stuart & Lobo, Jose & Shell, Karl, 2000. "The production recipes approach to modeling technological innovation: An application to learning by doing," Journal of Economic Dynamics and Control, Elsevier, vol. 24(3), pages 389-450, March.
    4. Jason Potts, 2001. "Knowledge and markets," Journal of Evolutionary Economics, Springer, vol. 11(4), pages 413-431.
    5. Fai, Felicia & von Tunzelmann, Nicholas, 2001. "Industry-specific competencies and converging technological systems: evidence from patents," Structural Change and Economic Dynamics, Elsevier, vol. 12(2), pages 141-170, July.
    6. Franke, R., 2001. "Wave trains, innovation noise, and long waves," Journal of Economic Behavior & Organization, Elsevier, vol. 45(1), pages 49-68, May.
    7. Iwai, Katsuhito, 2000. "A contribution to the evolutionary theory of innovation, imitation and growth," Journal of Economic Behavior & Organization, Elsevier, vol. 43(2), pages 167-198, October.
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