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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2019 . Peer-reviewed
License: Springer TDM
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EconStor
Research . 2016
Data sources: EconStor
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On Regional Innovator Networks as Hubs for Innovative Ventures

Authors: Cantner, Uwe; Wolf, Tina;

On Regional Innovator Networks as Hubs for Innovative Ventures

Abstract

At least since Schumpeter published his work ‘The Theory of Economic Development’ (1912), a wide body of literature has focused on the evolutionary process behind firm growth and survival. Recently a growing interest is devoted to the variable ‘location’ as a critical factor, shaping firm performance. However, less attention has been paid to the region-specific characteristics that may play a relevant role in determining the growth and survival of a firm. Some works see university-based knowledge spillovers as one such factor (Audretsch and Lehmann 2005, Cassia et al. 2009). This paper extends this approach to the regional innovator network, promoting region-specific knowledge spillovers. Two data bases are applied. First, patent data delivers the innovator network for Thuringia. The second data base contains firm specific information on innovative ventures founded in Thuringia in the period between 1990 and 2006. The results show that the firm’s individual probability to be innovative and connected to the innovator network positively influences the chances of this firm to survive.

Country
Denmark
Keywords

O31, Survival, L26, ddc:330, patents, Entrepreneurship, entrepreneurship, survival, P25, innovation, Inventor, networks, Networks, Innovation, D85, Patents, inventor

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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