EconPapers    
Economics at your fingertips  
 

Research Driven Clusters at the Heart of (Trans-)Regional Learning and Priority-Setting Processes

Günter Clar () and Björn Sautter

Journal of the Knowledge Economy, 2014, vol. 5, issue 1, 156-180

Abstract: Smart Specialisation has become the catchword for innovation policy approaches to optimally leverage regional dynamism in knowledge creation and application, and thus achieving comparative advantages in a globalised knowledge economy. It can support innovation policies putting the grand societal challenges of the twenty-first century high on the political agenda by intelligently investing the available resources in harnessing unique regional assets (as well as their inter-regional combinations), which were identified and capitalised on by ‘entrepreneurial discovery’ processes. This paper argues that research driven clusters as local nodes of global knowledge flows and as ‘microcosms’ in a complex world of cross-cutting regional and sector innovation systems, provide promising ‘targets’ for strategic policy support fostering smart specialisation. By being integrated in global value chains, and at the same time embedded in their regional innovation systems, higher-order learning and priority-setting processes of (quadruple helix) cluster stakeholders can lead to increased return on public and private investments within and across regions: they enable the application of technological know-how for innovative solutions to address global challenges, and thus help optimise the application of ‘localised’ knowledge capabilities for regional prosperity. Our case study—MicroTEC Südwest, a German “Spitzen” cluster in the top-ranking, ‘associational’ innovation system of Baden-Württemberg—spans an area of more than five million inhabitants, comparable in size with some countries in Europe. With this, we can exemplify elements of promising Research and Innovation Strategies for Smart Specialisation (RIS3) outlining the participatory processes implemented to develop better-informed outward-looking (across sectors, borders, etc.), and more forward-looking strategies for evidence-based priority-setting and focusing investments. Copyright Springer Science+Business Media New York 2014

Keywords: Smart specialisation; Regional learning; Innovation system; Strategic policy intelligence; Research driven clusters; Multi-level governance; Baden-Württemberg; Microsystems technologies (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://hdl.handle.net/10.1007/s13132-014-0180-0 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jknowl:v:5:y:2014:i:1:p:156-180

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/13132

DOI: 10.1007/s13132-014-0180-0

Access Statistics for this article

Journal of the Knowledge Economy is currently edited by Elias G. Carayannis

More articles in Journal of the Knowledge Economy from Springer, Portland International Center for Management of Engineering and Technology (PICMET)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:jknowl:v:5:y:2014:i:1:p:156-180