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Measuring industrial knowledge stocks with patents and papers

  • Han, Yoo-Jin
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    Under the National Innovation System (NIS) framework, knowledge stock has been recognized as a key factor for enhancing national innovative capabilities. However, despite the importance of patents and papers for measuring knowledge, previous research has not fully utilized patent and paper databases, and has instead relied on research and development (R&D) data. Therefore, in this research, I introduce a way to utilize both types of useful data when measuring industrial knowledge stocks. As primary data sources, the United States Patent and Trademark Office (USPTO) Web site for patents and the science citation index (SCI) for papers are used. In the case of Korea, the amount of knowledge stock proxied by patents and papers is different from that proxied by R&D, which indicates in turn that using a single indicator such as R&D may be misleading. Although the result may vary depending on the selected nation, the proposed method will be useful for gauging knowledge stocks in a more complementary way.

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    File URL: http://www.sciencedirect.com/science/article/pii/S1751157707000478
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    Article provided by Elsevier in its journal Journal of Informetrics.

    Volume (Year): 1 (2007)
    Issue (Month): 4 ()
    Pages: 269-276

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    Handle: RePEc:eee:infome:v:1:y:2007:i:4:p:269-276
    Contact details of provider: Web page: http://www.elsevier.com/locate/joi

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    1. Lach, Saul, 1995. "Patents and productivity growth at the industry level: A first look," Economics Letters, Elsevier, vol. 49(1), pages 101-108, July.
    2. Mansfield, Edwin, 1980. "Basic Research and Productivity Increase in Manufacturing," American Economic Review, American Economic Association, vol. 70(5), pages 863-73, December.
    3. Frederick L. Joutz & Yasser Abdih, 2005. "Relating the Knowledge Production Function to total Factor Productivity; An Endogenous Growth Puzzle," IMF Working Papers 05/74, International Monetary Fund.
    4. Yoshiko Okubo, 1997. "Bibliometric Indicators and Analysis of Research Systems: Methods and Examples," OECD Science, Technology and Industry Working Papers 1997/1, OECD Publishing.
    5. Bronwyn H. Hall & Adam B. Jaffe & Manuel Trajtenberg, 2001. "The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools," NBER Working Papers 8498, National Bureau of Economic Research, Inc.
    6. Alfred Kleinknecht & Kees Van Montfort & Erik Brouwer, 2002. "The Non-Trivial Choice between Innovation Indicators," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 11(2), pages 109-121.
    7. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
    8. Zvi Griliches, 1998. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 17-45 National Bureau of Economic Research, Inc.
    9. Scherer, F M, 1982. "Inter-Industry Technology Flows and Productivity Growth," The Review of Economics and Statistics, MIT Press, vol. 64(4), pages 627-34, November.
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