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Regional innovation measured by patent data – does quality matter?

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Abstract

Patent data play an important role as indicators of inventive and innovative activity across regions. This paper examines if the geographical distribution changes and in what direction if patent data are quality-adjusted. A quality index is constructed by means of factor analysis on the indicators forward citations and backward citations, family size and opposition incidence. Patent data over Swedish regions 1982-1999 are used to examine the distribution. The paper examines how the distribution has changed over time in the aggregate and on a technology-by-technology basis. When accounting for quality, patents become much more geographically concentrated than raw patents granted. Moreover, both concentrations have increased over time. Of the quality indicators, backward citations and family size seem to contribute most to concentration.

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  • Ejermo, Olof, 2007. "Regional innovation measured by patent data – does quality matter?," Papers in Innovation Studies 2007/8, Lund University, CIRCLE - Centre for Innovation Research.
  • Handle: RePEc:hhs:lucirc:2007_008
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    1. Bronwyn H. Hall & Grid Thoma & Salvatore Torrisi, 2006. "The market value of patents and R&D: Evidence from European firms," KITeS Working Papers 186, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Nov 2006.
    2. Manuel Trajtenberg & Gil Shiff & Ran Melamed, 2009. "The "Names Game": Harnessing Inventors, Patent Data for Economic Research," Annals of Economics and Statistics, GENES, issue 93-94, pages 67-77.
    3. Ariel Pakes & Mark Schankerman, 1984. "The Rate of Obsolescence of Patents, Research Gestation Lags, and the Private Rate of Return to Research Resources," NBER Chapters, in: R&D, Patents, and Productivity, pages 73-88, National Bureau of Economic Research, Inc.
    4. Stefano Breschi & Francesco Lissoni, 2003. "Mobility and Social Networks: Localised Knowledge Spillovers Revisited," KITeS Working Papers 142, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Mar 2003.
    5. Graham, Stuart J.H. & Harhoff, Dietmar, 2006. "Can Post-Grant Reviews Improve Patent System Design? A Twin Study of US and European Patents," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 38, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    6. Zvi Griliches, 1984. "R&D, Patents, and Productivity," NBER Books, National Bureau of Economic Research, Inc, number gril84-1, October.
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    More about this item

    Keywords

    Regions; patents; patent quality; Sweden.;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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