Author: Irina Olshankaya
In this paper I examined the relation between university-industry
collaboration and firms’ performance using Community Innovation Survey (CIS)
data for 14 European countries. The analysis includes two priority sectors,
which are defined in terms of Smart Specialization innovation concept:
Information and Communications Technology (ICT) and Enhancement of Resources.
Smart Specialization is a new innovation concept designed to promote the
efficient and effective use of public investment in research and is a central
focus of Europe 2020 Strategy. Its goal
is to stimulate regional innovation by enabling regions to identify sectors of
competitive advantage and then focus their regional policies on promoting
innovation in these fields in order to achieve economic growth (EC, 2010).
In Estonia there were indicated three main growth areas on the basis of
qualitative analysis carried out by Estonian Development Fund (Estonian
Development Fund, 2013):
- Information and Communication technology (ICT)
- Enhancement of resources
- Health technologies and services
The main idea is that knowledge that is related to different types of
innovations, could be transferred using the linkages between universities,
government, public or private research institutes and private enterprises.
Hence, both parties involved in this process, private enterprises from one side
and universities, government, public or private research institutes from
another side should be interested and have clear motivation to collaborate with
each other.
The main contribution of this work is to provide some new empirical
insights into understanding of firms’ motivation to collaborate with research
institutes, by answering the questions: what is the relation between
university-industry collaboration and firms’ performance? Whether different
types of collaboration have positive relation to firms’ performance measured by
total turnover and turnover from innovative sales or there is no clear linkage
between firms’ performance and collaboration with research institutes?
Standard ordinary least squares (OLS) and tobit models are the utilized
statistical techniques used on the firm level data, with a dependent variables
indicating total turnover and turnover from innovative sales. The models
incorporate the cooperation variables as well as size indicator and control
variables that could be related to firms’ performance.
Main findings reveal that the cooperation with foreign universities is
positively related to firms’ performance; at the same time collaboration with
national universities does not have such relation. Results differ across
countries among analyzed types of cooperation in considered priority sectors.
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