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Björn Asheim

Researcher at University of Stavanger

Publications -  151
Citations -  13848

Björn Asheim is an academic researcher from University of Stavanger. The author has contributed to research in topics: Human geography & Regional innovation system. The author has an hindex of 45, co-authored 149 publications receiving 12862 citations. Previous affiliations of Björn Asheim include University of Oslo & University of Santiago de Compostela.

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The Geography of Innovation: Regional Innovation Systems

TL;DR: Fagerberg as mentioned in this paper pointed out that the more knowledge-intensive the economic activity, the more geographically clustered it tends to be, and that this tendency toward spatial concentration has become more marked over time, not less contradicts longstanding predictions that the increasing use of information and communication technologies would lead to the dispersal of innovative activity over g g p p p g Fagerberg / The Oxford Handbook of Innovation Revised Proof 31.7.2004 5:38pm page 291
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Knowledge bases and Regional Innovation Systems: Comparing Nordic Clusters.

TL;DR: In this paper, the authors distinguish between two types of knowledge base: analytical and synthetic, and argue that in terms of innovation policy the regional level often provides a grounded approach embedded in networks of actors acknowledging the importance of the knowledge base of an industry.
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Regional Innovation Systems: The Integration of Local ‘Sticky’ and Global ‘Ubiquitous’ Knowledge

TL;DR: In this article, the authors examine how firms in three regional clusters in Norway dominated by shipbuilding, mechanical engineering and electronics industry exploit both place-specific local resources as well as external, world-class knowledge to strengthen their competitiveness.
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Constructing Regional advantage: Platform Policies Based on Related Variety and Differentiated Knowledge Bases

TL;DR: In this article, a regional innovation policy model based on the idea of constructing regional advantage is presented, which brings together concepts like related variety, knowledge bases and policy platforms, and the implications of this are traced for evolving platform policies that facilitate economic development within and between regions in action lines appropriate to incorporate the basic principles behind related variety and differentiated knowledge bases.
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Industrial districts as ‘learning regions’. A condition for prosperity?

TL;DR: In this article, the authors discuss the future of industrial districts in a post-Fordist "learning economy" and argue that the core of the question is related to the collective learning capacity of small and medium sized enterprises in industrial districts.