R&D networks and regional knowledge production: an agent-based simulation of the Austrian competence centres programme

Manuela Korber () and Manfred Paier
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Manuela Korber: AIT Austrian Institute of Technology GmbH

Economy of region, 2014, vol. 1, issue 2, 264 - 275

Abstract: 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.

Keywords: Competence centres, Public research funds, Science-industry collaboration; Agent-based simulation, Learning, Research & Development, Ex-ante impact assessment (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (2)

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Journal Article: R&d networks and regional knowledge production: an agent-based simulation of the Austrian competence centres programme (2014)
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Persistent link: https://EconPapers.repec.org/RePEc:ura:ecregj:v:1:y:2014:i:2:p:264-275

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