Klyngepolitik på et faktabaseret grundlag - Dansk Biotek

FORA RAPPORT KLYNGEPOLITIK PÅ ET FAKTABASERET GRUNDLAG P.07
Index value
Figure 3
Innovative capacity and cluster-specific framework conditions
of six life scinece clusters inthe BSR
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10
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Furthermore the study shows that the presence of many life science companies in the
region is indeed leading to higher productivity. This conclusion is based on a firm-level
econometric estimation, which shows that cluster concentration (represented by the
localisation quotient) is a significant and positive factor explaining the variation in
firm-level productivity performance. This is contrary to some other studies which claim
that cluster concentration has no measurable impact on productivity.
The results illustrate that at a fundamental level the policy may support performance
in life science enterprises. Through cluster formation and development a geographical
concentration of firms leads to better economic performance.
The performance indicators illustrate that the six life science clusters in the Baltic Sea
Region can be ranked according to their performance and that the ranking is fairly
robust and independent of which of the performance indicators – employment, productivity
or innovation – is given the greatest weight. The three best performing life
science clusters in the Baltic Sea Region are Greater Copenhagen, Greater Stockholm
and Malmø-Lund, while the performance of the three other clusters, Western Sweden
(Gothenburg), Schleswig-Holstein (Kiel) and Greater Helsinki is weaker.
The indicators for business conditions illustrate that overall the framework conditions
are very similar in Greater Copenhagen, Greater Stockholm and Malmø-Lund with the
framework conditions in Greater Helsinki and Western Sweden (Gotehnburg) lagging
a little behind. Only the business conditions in Schleswig-Holstein (Kiel) seem to be
significantly weaker.
With the survey data showing similar business conditions in the five Nordic clusters,
i.e. with companies evaluating the framework conditions in the same way, it becomes
difficult to test the hypothesis that the best performing clusters have the best
framework conditions. But by dividing the six life science clusters in the Baltic Sea
Region into two groups, one can illustrate that the best performing group also seems
to have the best framework conditions, cf. figure 3.
Composite indicator for
innovation capacity
Composite indicator for
cluster specific
framework conditions
Copenhagen Stockholm Malmö
Gothenburg Kiel Helsinki