Spinoffs and tie formation in cluster knowledge networks

Sándor Juhász ()
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Sándor Juhász: Hungarian Academy of Sciences

Small Business Economics, 2021, vol. 56, issue 4, No 7, 1385-1404

Abstract: Abstract It is generally acknowledged that in order to have access to locally accumulated industrial knowledge, firms have to collaborate and take part in cluster knowledge networks. This study argues that the inherited capabilities of spinoff enable them to cooperate and exchange knowledge more easily and to gain more from positive knowledge externalities in clusters. The basis of the analysis is a relational dataset on a printing and paper product cluster in Hungary, and I use exponential random graph models to explain the formation of knowledge ties. I demonstrate that besides geographical proximity, ownership similarity and network structural effects, being a spinoff company enhances tie formation in the local network. Results suggest that spinoffs are indeed more likely to collaborate and take advantage of knowledge concentration.

Keywords: Spinoff; Knowledge network; Cluster; Exponential random graph models; D85; L14; R11; O31; L26 (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11187-019-00235-9

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