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Klyngepolitik på et faktabaseret grundlag - Dansk Biotek

Klyngepolitik på et faktabaseret grundlag - Dansk Biotek

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FORA RAPPORT KLYNGEPOLITIK PÅ ET FAKTABASERET GRUNDLAG P.05<br />

The study is concentrated on the six biggest life science clusters in the Baltic Sea<br />

Region: Greater Copenhagen, Greater Stockholm, Schleswig-Holstein (Kiel), Greater<br />

Helsinki, Western Sweden (Gothenburg) and Southern Sweden (Malmö-Lund). The six<br />

clusters employ close to three quarters of the employed within life science in the Baltic<br />

Sea Region. Data has been collected for both cluster performance and cluster specific<br />

framework conditions.<br />

Cluster performance is measured by employment, average real wages and innovation,<br />

and there is a close connection b<strong>et</strong>ween all three indicators. Productivity is measured<br />

in terms of estimated multifactor productivity from company accounts and average<br />

real wages industry statistics. Indicators for innovation are collected from a survey<br />

study and data has been collected for frequency and extent of both incremental and<br />

radical innovation. The result demonstrates clearly that there are close links b<strong>et</strong>ween<br />

innovation and productivity – with life science companies with the highest multifactor<br />

productivity also innovating most.<br />

Innovative capacity is strongest in Greater Copenhagen and Greater Stockholm which at<br />

the same time are the regions most specialised in life science. The life science cluster in<br />

Greater Copenhagen is the most innovative, biggest, and most specialised – and it also<br />

has the greatest increase in employment.<br />

Data for framework conditions is solely collected from a survey study and expresses<br />

companies’ evaluation of the cluster specific framework conditions in the region.<br />

Data has been collected for four policy areas: Access to human resources with skill and<br />

comp<strong>et</strong>encies relevant for life science, availability of knowledge of importance to life<br />

science, entrepreneurial activities of life science start-ups, quality of public regulation<br />

and the importance of public demand for innovation in life science companies. All four<br />

areas can to some degree be affected by policy but companies and institutions also<br />

have a major role to play in creating the best possible regional business conditions for<br />

the life science cluster.<br />

Collaboration on innovation and research among companies in the same cluster might<br />

be an important factor in clusters’ innovative capacity. Data has therefore also been<br />

collected on the companies’ view on the importance of being part of a cluster and the<br />

extent of collaboration within the cluster. Policy cannot directly affect collaboration<br />

among companies but there can be an indirect impact from policy support of cluster<br />

organisations.<br />

The survey data has revealed that enterprises in the regions acknowledge that they are<br />

located in a region with a strong concentration of life science firms. That is particularly<br />

the perception in Greater Copenhagen and Malmö-Lund region, also known as Medicon<br />

Valley, where nearly 90% believe there is a concentration of life science companies,<br />

cf. figure 1.

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