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Analysis of innovativeness rate of target EU enterprises by the types of innovation
The accomplished analysis was aimed at estimating the innovativeness rate of the EU
Innovation core activities sector’s target enterprises by the types of innovation in the period of
2008-2010. The selection of population of target enterprises and timing of the analysis were
determined by several interlinked conditions: NACE valid version and classification rules; valid
classification of EU Innovation core activities sector; applicable comparable CISs data in
Eurostat database.
The NACE is the “statistical classification of economic activities in the European Community”
and is the subject of legislation at the EU level, which imposes the use of the classification
uniformly within all the Member States (Eurostat, 2008). The current valid NACE version is
revision 2 (NACE Rev.2) was established by EC Regulation No1893/2006 and came into force
starting 2008 onwards. In line with NACE Rev.2 a statistical unit used in CISs is the enterprise, as
defined in EEC Regulation No696/93 on statistical units. Thus all above-discussed aspects of
business related innovation data measuring of the firm are adjustable to the enterprise. In
pursuance of analysing the latest available CISs data keyed to NACE Rev.2, purely data starting
CIS2008 can be considered.
The legal basis for carrying out compulsory CISs was established by EC Regulation No1450/2004
implementing Decision No1608/2003/EC of the European Parliament and of the Council on the
production and development of Community statistics on innovation. In addition, it defined a
composition of the NACE excess obligatory sector named Innovation core activities.
EC1450/2004 inter alia was applied in CIS2008 and CIS2010. The newest currently available
CIS2012 (CIS, n.d.) was carried out following EC Regulation No995/2012 that among other
things upgraded the composition of the sector Innovation core activities. So data available for
the sector enterprises in CIS2012 is inconsistent with such from other CISs.
Therefore the analysis was accomplished using data of the Innovation core activities sector
(Sector) enterprises from CIS2008 and CIS2010 or for the period of 2008-2010. Considering the
author’s residence country it was decided to focus on analysing of innovativeness rate of Sector
enterprises from Baltic countries (Lithuania and its neighbours countries Estonia, Latvia,
Poland), Germany (as country with the strongest economy in the EU-27) and the EU-27
(number of EU member states in 2008-2010).
In order to bypass limitations of the nominal data analysis of the purposive enterprises the
descriptive statistics ratio measurement and bar graph visualization techniques have been
prosecuted using SPSS Statistics and Microsoft Excel software.
As it is seen in Figure 1, the share/rate of innovation-active enterprises in total number of all
Sectror enterprises (Rate1) of EU-27 amounted to 51,57% in 2008 with insignificant increase to
52,94% in 2010. The Rate1 of Germany was the best with almost 80% in 2008-2010. Among the
Baltic countries the Rate1 of Estonia in 2008-2010 was the highest with 56,83% in 2010 which
showed somewhat higher rate than of the EU-27. The Rate1 of Latvia, Lithuania and Poland in
2008-2010 were significantly less than of the EU-27 varying in 2010 between 28,14% of Latvia
and 34,46% of Lithuania. Thus in 2010 the Rate1 of Lithuania was 1,5 times less than of the EU-
27 and 2,3 times less than of Germany.
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