R&D networks and regional knowledge production: an agent-based simulation of the Austrian competence centres programme
Publicly funded competence centres have gained high recognition for improving science-industry collaboration. With the requirement for long-term and geographically concentrated R&D, competence centres provide an environment for joint learning and transfer of “sticky” knowledge. The objective o...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Russian Academy of Sciences, Institute of Economics of the Ural Branch
2014-06-01
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| Series: | Экономика региона |
| Subjects: | |
| Online Access: | http://economyofregion.com/archive/2014/49/2308/pdf/ |
| Summary: | Publicly funded competence centres have gained high recognition for improving science-industry collaboration.
With the requirement for long-term and geographically concentrated R&D, competence centres provide
an environment for joint learning and transfer of “sticky” knowledge. The objective of this paper is to investigate
how a competence centres programme affects knowledge production in the regional innovation system.
In order to address this issue, we draw on a simulation approach and develop an agent-based model of
the Vienna Life Sciences innovation system. Companies, research organisations and universities are heterogeneous
agents that create scientific publications, patents, as well as high-tech jobs. Simulation runs refer
to long-term scenarios regarding the level and duration of public funding. By addressing the complexities
of knowledge interaction in the context of the “local buzz” versus “global pipelines” discussion, the results
show the potential of empirically calibrated simulation models for ex-ante impact assessment in R&D policy. |
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| ISSN: | 2072-6414 2411-1406 |