IDEAS home Printed from https://ideas.repec.org/a/eee/infome/v1y2007i4p269-276.html
   My bibliography  Save this article

Measuring industrial knowledge stocks with patents and papers

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1751157707000478
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.joi.2007.06.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hye-Seon Moon & Jeong-Dong Lee, 2005. "A fuzzy set theory approach to national composite S&T indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(1), pages 67-83, July.
    2. Yasser Abdih & Frederick Joutz, 2006. "Relating the Knowledge Production Function to Total Factor Productivity: An Endogenous Growth Puzzle," IMF Staff Papers, Palgrave Macmillan, vol. 53(2), pages 1-3.
    3. 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.
    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. 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.
    7. Lach, Saul, 1995. "Patents and productivity growth at the industry level: A first look," Economics Letters, Elsevier, vol. 49(1), pages 101-108, July.
    8. Mansfield, Edwin, 1980. "Basic Research and Productivity Increase in Manufacturing," American Economic Review, American Economic Association, vol. 70(5), pages 863-873, December.
    9. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
    10. Scherer, F M, 1982. "Inter-Industry Technology Flows and Productivity Growth," The Review of Economics and Statistics, MIT Press, vol. 64(4), pages 627-634, November.
    11. Martin Meyer, 2002. "Tracing knowledge flows in innovation systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(2), pages 193-212, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Anna Rita Bennato & Laura Magazzini, 2009. "International Cooperation in Pharmaceutical Research," Working Papers 62/2009, University of Verona, Department of Economics.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. Jiancheng Guan & Kairui Zuo, 2014. "A cross-country comparison of innovation efficiency," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 541-575, August.
    10. 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.
    11. 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).
    12. 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.
    13. 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.
    14. 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.
    15. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stephan, Annegret & Bening, Catharina R. & Schmidt, Tobias S. & Schwarz, Marius & Hoffmann, Volker H., 2019. "The role of inter-sectoral knowledge spillovers in technological innovations: The case of lithium-ion batteries," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    2. Sergey Lychagin & Joris Pinkse & Margaret E. Slade & John Van Reenen, 2016. "Spillovers in Space: Does Geography Matter?," Journal of Industrial Economics, Wiley Blackwell, vol. 64(2), pages 295-335, June.
    3. Eduardo Gonçalves & Fernando Salgueiro Perobelli & Inácio Fernandes Araújo, 2017. "Estimating intersectoral technology spillovers for Brazil," The Journal of Technology Transfer, Springer, vol. 42(6), pages 1377-1406, December.
    4. Franco Malerba & Maria Mancusi & Fabio Montobbio, 2013. "Innovation, international R&D spillovers and the sectoral heterogeneity of knowledge flows," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 149(4), pages 697-722, December.
    5. Jackie Krafft & Francesco Quatraro, 2011. "The Dynamics of Technological Knowledge: From Linearity to Recombination," Chapters, in: Cristiano Antonelli (ed.), Handbook on the Economic Complexity of Technological Change, chapter 7, Edward Elgar Publishing.
    6. Ugur, Mehmet & Trushin, Eshref & Solomon, Edna & Guidi, Francesco, 2016. "R&D and productivity in OECD firms and industries: A hierarchical meta-regression analysis," Research Policy, Elsevier, vol. 45(10), pages 2069-2086.
    7. Heide Fier & Andreas Pyka, 2014. "Against the one-way-street: analyzing knowledge transfer from industry to science," The Journal of Technology Transfer, Springer, vol. 39(2), pages 219-246, April.
    8. Cristiano Antonelli, 2011. "The Economic Complexity of Technological Change: Knowledge Interaction and Path Dependence," Chapters, in: Cristiano Antonelli (ed.), Handbook on the Economic Complexity of Technological Change, chapter 1, Edward Elgar Publishing.
    9. Jackie Krafft & Francesco Quatraro, 2011. "The dynamics of technological knowledge," Post-Print halshs-00727633, HAL.
    10. Byung S. Min & Russell Smyth, 2016. "How does leverage affect R&D intensity and how does R&D intensity impact on firm value in South Korea?," Applied Economics, Taylor & Francis Journals, vol. 48(58), pages 5667-5675, December.
    11. Lach, Saul, 1995. "Patents and productivity growth at the industry level: A first look," Economics Letters, Elsevier, vol. 49(1), pages 101-108, July.
    12. Agnieszka Gehringer, 2011. "Pecuniary Knowledge Externalities across European Countries—Are there Leading Sectors?," Industry and Innovation, Taylor & Francis Journals, vol. 18(4), pages 415-436.
    13. Hall, Bronwyn H. & Mairesse, Jacques & Mohnen, Pierre, 2010. "Measuring the Returns to R&D," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1033-1082, Elsevier.
    14. repec:got:cegedp:101 is not listed on IDEAS
    15. Yuan Ding & Hervé Stolowy & Michel Tenenhaus, 2003. "R&D productivity: an international study," Working Papers hal-00591685, HAL.
    16. Alfranca, Óscar & Diaz-Balteiro, Luis & Herruzo, A. Casimiro, 2009. "Technical innovation in Spain's wood-based industry: The role of environmental and quality strategies," Forest Policy and Economics, Elsevier, vol. 11(3), pages 161-168, May.
    17. Giuseppe Medda & Claudio Piga, 2014. "Technological spillovers and productivity in Italian manufacturing firms," Journal of Productivity Analysis, Springer, vol. 41(3), pages 419-434, June.
    18. Andrea Bonaccorsi & Cinzia Daraio, 2013. "Knowledge spillover effects at the sub-regional level. Theory and estimation," DIAG Technical Reports 2013-13, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    19. Colombelli, Alessandra & Krafft, Jackie & Quatraro, Francesco, 2013. "Properties of knowledge base and firm survival: Evidence from a sample of French manufacturing firms," Technological Forecasting and Social Change, Elsevier, vol. 80(8), pages 1469-1483.
    20. Albino, Vito & Ardito, Lorenzo & Dangelico, Rosa Maria & Messeni Petruzzelli, Antonio, 2014. "Understanding the development trends of low-carbon energy technologies: A patent analysis," Applied Energy, Elsevier, vol. 135(C), pages 836-854.
    21. William, Mbanyele & Fengrong, Wang, 2022. "Economic policy uncertainty and industry innovation: Cross country evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 208-228.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:infome:v:1:y:2007:i:4:p:269-276. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/joi .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.