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Spin-off as an indicator of regional innovation network development

Authors: Grasmik, Konstantin Ivanovich;

Spin-off as an indicator of regional innovation network development

Abstract

It is not easy to design an appropriate indicator of network collaboration that is relevant and comparable to all regions of the Russian Federation. This is a challenge because the creation of high-tech start-ups requires the cooperation of various and heterogeneous stakeholders: inventor, entrepreneur, investor, and the university. Accordingly, the purpose of this paper is to test the following hypothesis: the greater the number of viable spin-offs in the region, the higher the level of innovative activity of the region. The object of analysis is Russian spin-offs, which were created during the period from August 2009 to May 2014. Using their founders’ profiles, I obtained the university affiliation of these companies. I also gathered information about their industry affiliation, size, turnover, regional (country) identity, etc. Using this data, I developed a number of indicators characterizing the intensity of interaction between universities and companies. I show that there is a positive link between innovation activity and performance indicators describing the intensity of interaction between universities and companies at the regional level. In closing, I offer a few comments about the possibility of using the results of this research in the analysis of applied problems related to innovation policy and the development of ratings for the innovative activity of regions.

Related Organizations
Keywords

O31, Entrepreneurial university, Spin-off, O32, ddc:330, O17, Innovation network, Regional innovation system

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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!
2
Average
Average
Average
gold