The dynamic of innovation networks: a switching model on technological change

Gabriele Tedeschi, Stefania Vitali () and Mauro Gallegati

Journal of Evolutionary Economics, 2014, vol. 24, issue 4, 817-834

Abstract: In this paper, we introduce an agent-based model where heterogeneous firms compare and modify their innovation strategies, so generating an evolving network structure. By implementing dynamic behavioral switching via a fitness mechanism based on agents’ performance, companies can endogenously modify their tactics for technological change and switch among three groups: stand-alone innovators, collaborative innovators and imitators. On the one hand, we study the properties of the emerging networks and we show that they reproduce the stylized facts of innovation networks. Moreover, we focus the analysis on the impact of these three innovation categories on the macro economic aggregate, finding that collaborative companies are those having the highest positive impact on the economic system. On the other hand, we use the model to study the effect of different economic innovation policies in increasing macroeconomic performance. Copyright Springer-Verlag Berlin Heidelberg 2014

Keywords: Innovation network; Preferential attachment; Economic policy; D8; L2; O3; O4 (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (14)

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DOI: 10.1007/s00191-014-0374-4

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