Knowledge Flows, Patent Citations and the Impact of Science on Technology
AbstractTechnological innovation depends on knowledge developed by scientific research. The num-ber of citations made in patents to the scientific literature has been suggested as an indicator of this process of transfer of knowledge from science to technology. We provide an intersec-toral insight into this indicator, by breaking down patent citations into a sector-to-sector ma-trix of knowledge flows. We then propose a method to analyze this matrix and construct vari-ous indicators of science intensity of sectors, and the pervasiveness of knowledge flows. Our results indicate that the traditional measure of the number of citations to science literature per patent captures important aspects intersectoral knowledge flows, but that other aspects are not captured. In particular, we show that high science intensity implies that sectors are net suppli-ers of knowledge in the economic sector, but that science intensity does not say much about pervasiveness of either knowledge use or knowledge supply by sectors. We argue that these results are related to the specific and specialized nature of knowledge.
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Bibliographic InfoPaper provided by United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT) in its series MERIT Working Papers with number 022.
Date of creation: 2007
Date of revision:
Knowledge; Input-Output Analysis; Knowledge Flow Matrices; Science-to-Technology Transfer; Patents;
Other versions of this item:
- onder Nomaler & Bart Verspagen, 2008. "Knowledge Flows, Patent Citations and the Impact of Science on Technology," Economic Systems Research, Taylor & Francis Journals, Taylor & Francis Journals, vol. 20(4), pages 339-366.
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
- O33 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
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.:
- Jaffe, A.B. & Trajtenberg, M., 1992.
"Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations,"
Papers, Tel Aviv
14-92, Tel Aviv.
- Jaffe, Adam B & Trajtenberg, Manuel & Henderson, Rebecca, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, MIT Press, MIT Press, vol. 108(3), pages 577-98, August.
- Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1992. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," NBER Working Papers 3993, National Bureau of Economic Research, Inc.
- Sorenson, Olav & Fleming, Lee, 2004. "Science and the diffusion of knowledge," Research Policy, Elsevier, Elsevier, vol. 33(10), pages 1615-1634, December.
- Jan Oosterhaven & Dirk Stelder, 2002. "Net Multipliers Avoid Exaggerating Impacts: With A Bi-Regional Illustration for the Dutch Transportation Sector," Journal of Regional Science, Wiley Blackwell, Wiley Blackwell, vol. 42(3), pages 533-543.
- Maurseth, Per Botolf & Verspagen, Bart, 2002. " Knowledge Spillovers in Europe: A Patent Citations Analysis," Scandinavian Journal of Economics, Wiley Blackwell, Wiley Blackwell, vol. 104(4), pages 531-45, December.
- Hicks, Diana & Breitzman, Tony & Olivastro, Dominic & Hamilton, Kimberly, 2001. "The changing composition of innovative activity in the US -- a portrait based on patent analysis," Research Policy, Elsevier, Elsevier, vol. 30(4), pages 681-703, April.
- Daniel Johnson & Robert Evenson, 1997. "Innovation and Invention in Canada," Economic Systems Research, Taylor & Francis Journals, Taylor & Francis Journals, vol. 9(2), pages 177-192.
- Dosi, Giovanni & Llerena, Patrick & Labini, Mauro Sylos, 2006. "The relationships between science, technologies and their industrial exploitation: An illustration through the myths and realities of the so-called `European Paradox'," Research Policy, Elsevier, Elsevier, vol. 35(10), pages 1450-1464, December.
- Wesley M. Cohen & Richard R. Nelson & John P. Walsh, 2002. "Links and Impacts: The Influence of Public Research on Industrial R&D," Management Science, INFORMS, INFORMS, vol. 48(1), pages 1-23, January.
- J. S·nchez-ChÛliz & R. Duarte, 2003. "Analysing pollution by way of vertically integrated coefficients, with an application to the water sector in Aragon," Cambridge Journal of Economics, Oxford University Press, Oxford University Press, vol. 27(3), pages 433-448, May.
- Erik Dietzenbacher, 2005. "More on multipliers," Journal of Regional Science, Wiley Blackwell, Wiley Blackwell, vol. 45(2), pages 421-426.
- Adams, Pamela & Fontana, Roberto & Malerba, Franco, 2013. "The magnitude of innovation by demand in a sectoral system: The role of industrial users in semiconductors," Research Policy, Elsevier, Elsevier, vol. 42(1), pages 1-14.
- Suma Athreye & Martha Prevezer, 2008. "R&D offshoring and the domestic science base in India and China," Working Papers, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research 26, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
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