Firms Interaction and Technological Paradigms

  • Rainer Andergassen
  • Franco Nardini
  • Massimo Ricottilli
Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 551)

Summary

This paper deals with the aggregate effects of small, exogenous but idiosyncratic technological shocks on locally interacting firms. Its main purpose is to model a situation in which technological paradigms emerge through endogenous propagation and diffusion of information leading to an aggregate pattern. We develop a theoretical framework in which large technological correlations emerge due to localised interaction of single firms. The paper states some simple results on spill-over dynamics determined by firms trying to improve their current technology and thus generating new information through investment in R&D and through localised technological search. The first part shows that different growth regimes can arise from the general framework of interaction that we propose. The second part shows that an interesting regime characterised both by long run innovation growth and endogenous short run fluctuations emerges spontaneously.

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References

  1. 1.
    Andergassen, R., Nardini, F., (2004): Endogenous innovation waves and economic growth. Forthcoming in Structural Change and Economic Dynamics.Google Scholar
  2. 2.
    Arenas, A., Daz-Guilera, A., Prez, C. J., Vega-Redondo, F., (2002): Selfor-ganized criticality in evolutionary systems with local interaction. Journal of Economic Dynamics and Control 26, 2115–2142.CrossRefGoogle Scholar
  3. 3.
    Bak, P., Chen, K., Scheinkman, J., Woodford, M., (1993): Aggregate fluctuations from independent sectoral shocks: self organized criticality in a model of production and inventory dynamics. Ricerche Economiche 47, 3–30.CrossRefGoogle Scholar
  4. 4.
    Dupor, B., (1999): Aggregation and irrelevance in multi sector models. Journal of Monetary Economics 43, 391–409.CrossRefGoogle Scholar
  5. 5.
    Horvath, M. T. K., (1998): Cyclicality and sectoral linkages: aggregate fluctuations from sectoral shocks. Review of Economic Dynanics 1, 781–808.CrossRefGoogle Scholar
  6. 6.
    Horvath, M. T. K.,(2000): Sectoral shock and aggregate fluctuations. Journal of Monetary Economics 45, 69–106.CrossRefGoogle Scholar
  7. 7.
    Long, J., Plosser, C, (1983): Real business cycles. Journal of Political Economy 91, 39–69.CrossRefGoogle Scholar
  8. 8.
    Vespignani, A., Zapperi, S., (1998): How Self-organized criticality works: a unified mean field picture. Physical Review E 57, 6345–6362.CrossRefADSMathSciNetGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Rainer Andergassen
    • 1
  • Franco Nardini
    • 2
  • Massimo Ricottilli
    • 3
  1. 1.Department of EconomicsUniversity of Bologna ItalyItaly
  2. 2.Department of Mathematics for Social SciencesUniversity of Bologna ItalyItaly
  3. 3.Department of EconomicsUniversity of BolognaBolognaItaly

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