Indicators for Complex Innovation Systems

Sylvan Katz ()
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Sylvan Katz: SPRU, University of Sussex, http://www.sussex.ac.uk/spru/profile7430.html

No 134, SPRU Working Paper Series from SPRU - Science Policy Research Unit, University of Sussex Business School

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.

Keywords: complex system; scaling; power law; emergent properties; innovation; innovation system; indicators; scale-independent; model (search for similar items in EconPapers)
JEL-codes: E01 O33 (search for similar items in EconPapers)
Pages: 41 pages
Date: 2005-07-26
New Economics Papers: this item is included in nep-ino and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:sru:ssewps:134

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