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Innovation and Knowledge Spillovers in a Networked Industry

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Artificial Markets Modeling

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 599))

Abstract

Knowledge and proximity are key concepts in the Geography of Innovation literature (Boschma, 2005). Innovating processes are uncertain because they often take place under unsure conditions and fierce business competitiveness. Geographical proximity can reduce this uncertainty since it potentially facilitates labor movement and knowledge interchange through personal contacts. Supporting this hypothesis, some scholars have highlighted the greater agglomeration of RD activities in technological industries where knowledge plays a significant economic role (Audretsch and Feldman, 1996a).

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Santos, J.I., del Olmo, R., Pajares, J. (2007). Innovation and Knowledge Spillovers in a Networked Industry. In: Consiglio, A. (eds) Artificial Markets Modeling. Lecture Notes in Economics and Mathematical Systems, vol 599. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73135-1_12

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