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Innovation Systems as Patent Networks

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Author Info
Wilfred Dolfsma

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Abstract

While patent data offers a quantitative measure, they are often used in a rather unimaginative way. Patents granted are aggregated to the level of firms, regions, sectors or countries to determine the respective aggregate’s (potential) (future) significance. While patent data is Globalisation of knowledge development and delivery, ISID, New Delhi, India, October 17-18, 2008 shaped by institutions, and reflects information about applications that is the result of institutional configurations, they are not defined by institutions a priori. Institutions themselves are embedded in knowledge infrastructures, providing the technological opportunities that have to be interfaced with market positions and expected demand that agents can act upon. From this perspective, patent data offer a vastly more informative source of information. We analyse patents granted as a sediment of substantive-technical efforts by actors to develop new knowledge or find (non-obvious) applications for existing knowledge. Classes of patent applications, and particularly co-classifications, thus may be taken as an important indicator of a mutual knowledge basis within the boundaries of a system (Breschi et al., 2003; Leydesdorff, 2008). The network of co-classifications for patents, drawing on a unified and harmonized database, thus indicates the workings of a NIS and its relevant institutions.

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Paper provided by esocialsciences.com in its series Working Papers with number id:1651.

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Date of creation: 2008
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Handle: RePEc:ess:wpaper:id:1651

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Keywords: innovation system; patent; intellectual property;

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  1. Bergek, Anna & Jacobsson, Staffan & Carlsson, Bo & Lindmark, Sven & Rickne, Annika, 2008. "Analyzing the functional dynamics of technological innovation systems: A scheme of analysis," Research Policy, Elsevier, vol. 37(3), pages 407-429, April. [Downloadable!] (restricted)
  2. Markus Balzat & Horst Hanusch, 2003. "Recent Trends in the Research on National Innovation Systems," Discussion Paper Series 254, Universitaet Augsburg, Institute for Economics. [Downloadable!]
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  3. Mark A. Lemley & Carl Shapiro, 2005. "Probabilistic Patents," Journal of Economic Perspectives, American Economic Association, vol. 19(2), pages 75-98, Spring. [Downloadable!] (restricted)
  4. Breschi, Stefano & Lissoni, Francesco & Malerba, Franco, 2003. "Knowledge-relatedness in firm technological diversification," Research Policy, Elsevier, vol. 32(1), pages 69-87, January. [Downloadable!] (restricted)
  5. Dolfsma, W.A. & Leydesdorff, L. & Panne, G. van der, 2004. "Measuring the Knowledge Base of an Economy in terms of Triple-Helix Relations among 'Technology, Organization, and Territory'," Research Paper ERS-2004-034-ORG Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni. [Downloadable!]
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  6. Lanjouw, Jean O & Schankerman, Mark, 2004. "Protecting Intellectual Property Rights: Are Small Firms Handicapped?," Journal of Law & Economics, University of Chicago Press, vol. 47(1), pages 45-74, April.
  7. Arundel, Anthony & Kabla, Isabelle, 1998. "What percentage of innovations are patented? empirical estimates for European firms," Research Policy, Elsevier, vol. 27(2), pages 127-141, June. [Downloadable!] (restricted)
  8. Dolfsma, W.A., 2006. "IPRs, Technological Development, and Economic Development," Research Paper ERS-2006-004-ORG Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni. [Downloadable!]
  9. Liu, Xielin & White, Steven, 2001. "Comparing innovation systems: a framework and application to China's transitional context," Research Policy, Elsevier, vol. 30(7), pages 1091-1114, August. [Downloadable!] (restricted)
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