10.01.2015 Views

Clusters are individuals - VDI/VDE-IT

Clusters are individuals - VDI/VDE-IT

Clusters are individuals - VDI/VDE-IT

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

EXECUTIVE SUMMARY<br />

In economic and innovation policy the term „cluster“ is<br />

usually used to explain geographical concentrations of economic<br />

and innovation activities. According to conventional<br />

wisdom clusters support economic development through<br />

the specialization of regions in activities within which companies<br />

gain higher productivity through accessing external<br />

economies of scale or other comparative advantages. During<br />

the past 15 years clusters and innovative (competence)<br />

networks have gained more and more importance as an element<br />

of economic development and innovation strategies<br />

of the European Union and its Member States. The analyses<br />

in this report challenge conventional wisdom of what drives<br />

development and innovation within a cluster. Based on the<br />

largest international analysis of its kind involving a simultaneous<br />

benchmarking of more than 140 cluster organisations<br />

and of cluster policies from nine European countries it<br />

is found that the economic impacts of clusters depend on<br />

many more factors not related to the specialization of regions<br />

through the geographical concentration of the cluster<br />

than earlier research suggests. Cluster management excellence<br />

and the spectrum and frequency of business-related<br />

services of the cluster organization <strong>are</strong> important determinants<br />

for the impact of a cluster. The analyses of cluster<br />

organisations and cluster policies also show many other key<br />

determinants for the development and characteristics of a<br />

cluster such as internationalization activities, R&D activities,<br />

age, technology <strong>are</strong>as etc.<br />

The Danish Ministry of Science, Technology and Innovation,<br />

supported by the German Federal Ministry of Economics and<br />

Technology and its national cluster program “Initiative Kompetenznetze<br />

Deutschland” (Competence Networks Germany),<br />

the Nordic Council of Ministers and Nordic Innovation<br />

(NICe), has initiated the project „NGPExcellence – Cluster<br />

Excellence in the Nordic Countries, Germany and Poland“.<br />

Further partners were VINNOVA (Sweden), Tillväxtverket<br />

(Sweden), the Finnish Funding Agency for Technology<br />

and Innovation (TEKES), the Finnish Ministry of Employment<br />

and the Economy, Innovation Norway, the Icelandic Centre<br />

for Research (RANNIS), Innovation Centre Iceland, the Bavarian<br />

Ministry of Economic Affairs, Infrastructure, Transport and<br />

Technology (Germany) and the Polish Agency for Enterprise<br />

Development (PARP).<br />

The overall objective is to contribute to the development<br />

of outstanding clusters through excellent management<br />

and excellent cluster programs. Conducted from October<br />

2010 to July 2011the project pays particular attention<br />

on the characteristics of cluster management organizations<br />

and their effects on cluster development. More than 140 cluster<br />

management organizations from eight countries were<br />

benchmarked to base the analysis on a comprehensive comparative<br />

portfolio. 16 cluster programs from nine countries<br />

supporting most of the analyzed cluster organisations were<br />

analyzed to facilitate a better understanding of successful<br />

strategies and mutual learning between the program owners<br />

and to develop recommendations for a “perfect” cluster<br />

program.<br />

The analyses has provided a comprehensive set of information<br />

and new knowledge about the characteristics<br />

of cluster management organizations and clusters in<br />

terms of age, size, composition of membership, regional<br />

concentration and financing. The key findings of the<br />

comprehensive benchmarking analyses of cluster management<br />

organizations include:<br />

• Research-driven clusters <strong>are</strong> much more similar to<br />

industry-clusters than previous research suggested;<br />

• <strong>Clusters</strong> with a small or high sh<strong>are</strong> of public funding <strong>are</strong><br />

similar in terms of structure and governance, but different<br />

in terms of impact;<br />

• The visibility and attractiveness of a cluster and the<br />

impact of the cluster management organization on SME<br />

development depends its age and size; app<strong>are</strong>ntly,<br />

larger and matured clusters provide a much better<br />

environment for results and impacts through activities<br />

of a cluster management organization;<br />

• The structural characteristics of a cluster in terms of e.g.<br />

size, governance structure or degree of specialization<br />

as well as the impact of the work of a cluster management<br />

organization depend on the technology field it is .<br />

operating in;<br />

• <strong>Clusters</strong> with a high impact on business activities of SME<br />

feature an active cluster management organization in<br />

terms of spectrum and frequency of business-related<br />

services.<br />

The results suggest that several key determinants matter in<br />

terms of a cluster’s impact on the business activities of its<br />

members; this applies in particular to SME. Structural factors<br />

such as size, age, governance and the sh<strong>are</strong> of private<br />

funding in the total budget of the cluster management organization<br />

as well as the type of agenda setter (industry or<br />

research stakeholders) have an effect on the spectrum and<br />

intensity of services provided by the cluster management<br />

organization and thus on the development of business activities<br />

of SME.<br />

The benchmarking of 16 cluster programs provides new<br />

knowledge and detailed insights into program characteristics<br />

in terms of objectives, strategic focus, instruments,<br />

target groups, evaluation methods, terms and<br />

financial aspects. The key findings of the analysis <strong>are</strong>:<br />

8

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!