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Measuring industrial knowledge stocks with patents and papers

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  • Han, Yoo-Jin

Abstract

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.

Suggested Citation

  • Han, Yoo-Jin, 2007. "Measuring industrial knowledge stocks with patents and papers," Journal of Informetrics, Elsevier, vol. 1(4), pages 269-276.
    • Handle: RePEc:eee:infome:v:1:y:2007:i:4:p:269-276
    DOI: 10.1016/j.joi.2007.06.001
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    Cited by:

    1. Chan-Yuan Wong, 2013. "On a path to creative destruction: science, technology and science-based technological trajectories of Japan and South Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 323-336, July.
    2. Sung, Hui-Yun & Wang, Chun-Chieh & Huang, Mu-Hsuan & Chen, Dar-Zen, 2015. "Measuring science-based science linkage and non-science-based linkage of patents through non-patent references," Journal of Informetrics, Elsevier, vol. 9(3), pages 488-498.
    3. Hui-Yun Sung & Chun-Chieh Wang & Dar-Zen Chen & Mu-Hsuan Huang, 2014. "A comparative study of patent counts by the inventor country and the assignee country," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 577-593, August.
    4. Zhao Qu & Shanshan Zhang & Chunbo Zhang, 2017. "Patent research in the field of library and information science: Less useful or difficult to explore?," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 205-217, April.
    5. Anna Rita Bennato & Laura Magazzini, 2009. "International Cooperation in Pharmaceutical Research," Working Papers 62/2009, University of Verona, Department of Economics.
    6. Cucculelli, Marco & Le Breton-Miller, Isabelle & Miller, Danny, 2016. "Product innovation, firm renewal and family governance," Journal of Family Business Strategy, Elsevier, vol. 7(2), pages 90-104.
    7. Laura de Dominicis & Raymond J.G.M. Florax & Henri L.F. de Groot, 2013. "Regional clusters of innovative activity in Europe: are social capital and geographical proximity key determinants?," Applied Economics, Taylor & Francis Journals, vol. 45(17), pages 2325-2335, June.
    8. Fabio Pammolli & Massimo Riccaboni & Laura Magazzini, 2012. "The sustainability of European health care systems: beyond income and aging," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(5), pages 623-634, October.
    9. Guifeng Liu, 2013. "Visualization of patents and papers in terahertz technology: a comparative study," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1037-1056, March.
    10. Csomós, György & Tóth, Géza, 2016. "Exploring the position of cities in global corporate research and development: A bibliometric analysis by two different geographical approaches," Journal of Informetrics, Elsevier, vol. 10(2), pages 516-532.
    11. Gazni, Ali, 2020. "The growing number of patent citations to scientific papers: Changes in the world, nations, and fields," Technology in Society, Elsevier, vol. 62(C).
    12. Jang, Hyun Jin & Woo, Han-Gyun & Lee, Changyong, 2017. "Hawkes process-based technology impact analysis," Journal of Informetrics, Elsevier, vol. 11(2), pages 511-529.
    13. Jiancheng Guan & Kairui Zuo, 2014. "A cross-country comparison of innovation efficiency," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 541-575, August.
    14. Liu, Jun & Liu, Liang & Qian, Yu & Song, Shunfeng, 2022. "The effect of artificial intelligence on carbon intensity: Evidence from China's industrial sector," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    15. Chan-Yuan Wong & Kim-Leng Goh, 2012. "The pathway of development: science and technology of NIEs and selected Asian emerging economies," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 523-548, September.
    16. DiMaria, charles-henri, 2024. "Research and development, innovation inputs and productivity; The role of National Innovation Systems," MPRA Paper 120800, University Library of Munich, Germany.

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