IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Knowledge & Innovation in Space

  • Karlsson, Charlie

    ()

    (Jönköping International Business School)

  • Johansson, Börje

    ()

    (CESIS - Centre of Excellence for Science and Innovation Studies, Royal Institute of Technology)

  • R. Stough, Roger

    ()

    (George Mason University)

The purpose of this working paper is to provide a short overview of actual topics in contemporary research concerned with global, national, regional and local knowledge and innovation dynamics. In the text, we stress the importance to understand the current changes of the global and their implications for knowledge generation and innovation. Treating knowledge as a key resource for innovation shifts the focus from the innovation itself to the process of knowledge generation, transformation and diffusion, i.e. to knowledge dynamics. This necessitates integrating spatial aspects since knowledge generation and as a result, innovation exhibits a strong geographical clustering, which implies that innovation ability and innovation resources also are strongly clustered geographically in particular to urban regions. The role of interaction and proximity for knowledge generation and innovation is highlighted and instead it is stressed that relational, cognitive, organizational, social and institutional proximities are not substitutes or complements to spatial proximity but that they are all functions of the prevailing spatial proximity. Another important factor for interaction is social capital, which by fostering trust makes information and knowledge to diffuse faster.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: https://static.sys.kth.se/itm/wp/cesis/cesiswp305.pdf
Download Restriction: no

Paper provided by Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies in its series Working Paper Series in Economics and Institutions of Innovation with number 305.

as
in new window

Length: 17 pages
Date of creation: 12 Apr 2013
Date of revision:
Handle: RePEc:hhs:cesisp:0305
Contact details of provider: Postal: CESIS - Centre of Excellence for Science and Innovation Studies, Royal Institute of Technology, SE-100 44 Stockholm, Sweden
Phone: +46 8 790 95 63
Web page: http://www.infra.kth.se/cesis/

More information through EDIRC

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:hhs:cesisp:0305. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Vardan Hovsepyan)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.