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The influence of innovation and imitation on economic performance

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Author Info
Sylvie Geisendorf () (Department of Economics, University of Kassel)

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Abstract

The importance of innovation and imitation for the economy is discussed in different branches of economic theory. Some of them study the macro, others the micro level. Macroeconomic theories, concerned with technological progress usually do not explicitly distinguish between innovation and imitation. Microeconomic case studies, examine the advantage of one strategy over the other for individual firms, but do not study the macroeconomic effect of these individual behaviours. The present paper attempts to close this gap by proposing a model that is capturing the innovative and imitative activity on the individual level and the resulting performance on the macro level. This is done on the basis of a Multi-Agent simulation. The model gives a comprehensive picture of an evolving economy over time, first because it depicts the interplay of innovation and imitation and second because the agents are placed in a changing economic landscape, forcing them to discover new products. Apart from detecting a predominant strategy, the model also shows to what extend the strategies depend on each other, if the economy should develop as a whole. A main result is that the significance of innovation is overemphasized in some parts of the literature. Imitation is the more important strategy, but as it needs a sound innovative base, it actually is the right mixture between the two with a large proportion of imitation that is moving an economy ahead.

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Publisher Info
Paper provided by University of Kassel, Institute of Economics in its series papers on agent-based economics with number 2.

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Length: 23 pages
Date of creation: May 2007
Date of revision:
Handle: RePEc:kas:poabec:2007-2

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Related research
Keywords: Innovation; Learning; Multi-Agent-Systems; Evolutionary Economics; Genetic Algorithms; Modelling;

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Frank Beckenbach, 2005. "Knowledge Representation and Search Processes - a contribution to the microeconomics of invention and innovation," Discussion Papers in Economics 75/05, University of Kassel, Institute of Economics. [Downloadable!]
  2. Pack, Howard, 1994. "Endogenous Growth Theory: Intellectual Appeal and Empirical Shortcomings," Journal of Economic Perspectives, American Economic Association, vol. 8(1), pages 55-72, Winter. [Downloadable!] (restricted)
  3. Mankiw, N Gregory & Romer, David & Weil, David N, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, MIT Press, vol. 107(2), pages 407-37, May. [Downloadable!] (restricted)
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  4. Arifovic, Jasmina, 1994. "Genetic algorithm learning and the cobweb model," Journal of Economic Dynamics and Control, Elsevier, vol. 18(1), pages 3-28, January. [Downloadable!] (restricted)
  5. Romer, Paul M, 1987. "Growth Based on Increasing Returns Due to Specialization," American Economic Review, American Economic Association, vol. 77(2), pages 56-62, May. [Downloadable!] (restricted)
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