Indicators for Complex Innovation Systems
AbstractInnovation 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.
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Bibliographic InfoPaper provided by SPRU - Science and Technology Policy Research, University of Sussex in its series SPRU Working Paper Series with number 134.
Length: 41 pages
Date of creation: 26 Jul 2005
Date of revision:
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complex system; scaling; power law; emergent properties; innovation; innovation system; indicators; scale-independent; model;
Find related papers by JEL classification:
- O33 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
- E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-08-03 (All new papers)
- NEP-INO-2005-08-03 (Innovation)
- NEP-TID-2005-08-03 (Technology & Industrial Dynamics)
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.:
- 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.
- 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.
- 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.
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