Advanced Search
MyIDEAS: Login to save this paper or follow this series

Indicators for Complex Innovation Systems

Contents:

Author Info

Registered author(s):

    Abstract

    Innovation systems are complex systems that can exhibit scaling and emergent properties. Predictable and measurable scaling correlations exist between measures commonly used to characterize innovation systems and national economies. This paper examines scaling relationships between GERD & GDP and between GDP & population and uses them to construct scale-independent indicators of the European and Canadian innovation systems. It discusses the theory and practice of building scale- independent indicators and scale-independent models. The theory is based on knowledge gathered from the study of complex systems. The practice is illustrated using OECD and Statistics Canada data commonly used to construct conventional indicators.

    Download Info

    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: http://www.sussex.ac.uk/spru/documents/sewp134.pdf
    Download Restriction: no

    Bibliographic Info

    Paper provided by SPRU - Science and Technology Policy Research, University of Sussex in its series SPRU Working Paper Series with number 134.

    as in new window
    Length: 41 pages
    Date of creation: 26 Jul 2005
    Date of revision:
    Handle: RePEc:sru:ssewps:134

    Contact details of provider:
    Postal: Jubilee Building G08, Falmer, Brighton, BN1 9SL
    Phone: +44 (0)1273 686758
    Fax: +44 (0)1273 685865
    Email:
    Web page: http://www.sussex.ac.uk/spru
    More information through EDIRC

    Related research

    Keywords: complex system; scaling; power law; emergent properties; innovation; innovation system; indicators; scale-independent; model;

    Find related papers by JEL classification:

    This paper has been announced in the following NEP Reports:

    References

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
    as in new window
    1. H. E. Stanley & V. Plerou, 2001. "Scaling and universality in economics: empirical results and theoretical interpretation," Quantitative Finance, Taylor & Francis Journals, vol. 1(6), pages 563-567.
    2. Barabási, Albert-László & Ravasz, Erzsébet & Vicsek, Tamás, 2001. "Deterministic scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 299(3), pages 559-564.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as in new window

    Cited by:
    1. Beckstead, Desmond & Gellatly, Guy, 2006. "Capacites d'innovation : l'emploi en sciences et en genie au Canada et aux Etats-Unis," L'economie canadienne en transition 2006011f, Statistics Canada, Analyse economique.

    Lists

    This item is featured on the following reading lists or Wikipedia pages:
    1. Socio-Economics of Innovation

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:sru:ssewps:134. 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: (Russell Eke).

    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.