Skip to main content

Innovation and Evolution as a Dynamic Game with Rational Behaviour

  • Chapter
Applied Industrial Organization
  • 79 Accesses

Abstract

In the recent literature about the explanation of the behaviour of innovating firms there coexist two basically different approaches. To so called neoclassical approach assumes maximising behaviour relating to an exogenously given innovation technology and the evolutionary approach postulates time constant routine decisions. Both explanations are supported by well known arguments. Nevertheless they seem to be completely separated in the literature. The evolutionary approach even defines itself by the separation of the neo-classical approach. In this paper the two methods or philosophies are linked in a simple duopolistic model. It will be shown, that the strategic maximising behaviour of innovating firms leads in a dynamic model to routine decisions as equilibrium strategies.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Bertsekas, D.P. (1976), Dynamic Programming and Stochastic Control, New York: Ac Press.

    Google Scholar 

  • Blonski, M. (1993), Die Theorie der Industriestrukturen und deren Veränderungen durch technischen Fortschritt und neue Produkte, Universität Mannheim, Dissertation, unpublished.

    Google Scholar 

  • Ericson, R. and A. Pakes (1989), An Alternative Theory of Firm and Industry Dynamics, Columbia University Discussion Paper.

    Google Scholar 

  • Federgruen, A. (1978), On N-Person Stochastic Games with Denumerable State Space, Advances in Applied Probability 10, 452–471.

    Article  Google Scholar 

  • Nelson, R. and S. Winter (1982), An Evolutionary Theory of Economic Change, Cambridge, Ma: Harvard University Press.

    Google Scholar 

  • Parthasarathy, T. (1973), Discounted, Positive and Noncooperative Stochastic Games, International Journal of Game Theory 2, 25–37.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1994 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Blonski, M. (1994). Innovation and Evolution as a Dynamic Game with Rational Behaviour. In: Aiginger, K., Finsinger, J. (eds) Applied Industrial Organization. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-6395-0_7

Download citation

  • DOI: https://doi.org/10.1007/978-94-017-6395-0_7

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4452-5

  • Online ISBN: 978-94-017-6395-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics