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Exploring patent performance and technology interactions of universities, industries, governments and individuals

Author

Listed:
  • Mu-Hsuan Huang

    (National Taiwan University)

  • Hui-Yun Sung

    (National Chung Hsing University)

  • Chun-Chieh Wang

    (National Taiwan University)

  • Dar-Zen Chen

    (National Taiwan University)

Abstract

In the era of the fast-paced knowledge economy, patent data may be analyzed to measure technological competitiveness. This paper aims to explore patent performance by indicators and technology interactions based on patent citation of assignee types. This study involved four types of patent assignees (i.e. universities, industries, governments, and individuals) in five technological fields (i.e. computers and communications; drugs and medical; electrical and electronics; chemical; and mechanical) over three periods (i.e. 1997–2001, 2002–2006, and 2007–2011). Four indicators were chosen for analysis of patent performance; they included, patent share, science linkage, current impact index, and citation density. The findings of this study show that among all four assignee types, industries had the highest patent productivity in all fields, and universities had the highest impact in all fields except for drugs and medical. Other interesting phenomena were also observed. Examples include reciprocal technology interactions between universities and governments; low technology interactions of industries in each field; individuals’ higher patent performance and technology interactions in the field of drugs and medical.

Suggested Citation

  • Mu-Hsuan Huang & Hui-Yun Sung & Chun-Chieh Wang & Dar-Zen Chen, 2013. "Exploring patent performance and technology interactions of universities, industries, governments and individuals," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 11-26, July.
    • Handle: RePEc:spr:scient:v:96:y:2013:i:1:d:10.1007_s11192-012-0878-3
    DOI: 10.1007/s11192-012-0878-3
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    References listed on IDEAS

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    1. Adam Jaffe & Manuel Trajtenberg, 1999. "International Knowledge Flows: Evidence From Patent Citations," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 8(1-2), pages 105-136.
    2. Bronwyn H. Hall & Adam B. Jaffe & Manuel Trajtenberg, 2000. "Market Value and Patent Citations: A First Look," NBER Working Papers 7741, National Bureau of Economic Research, Inc.
    3. Etzkowitz, Henry & Leydesdorff, Loet, 2000. "The dynamics of innovation: from National Systems and "Mode 2" to a Triple Helix of university-industry-government relations," Research Policy, Elsevier, vol. 29(2), pages 109-123, February.
    4. Adam B. Jaffe & Michael S. Fogarty & Bruce A. Banks, 1998. "Evidence from Patents and Patent Citations on the Impact of NASA and Other Federal Labs on Commercial Innovation," Journal of Industrial Economics, Wiley Blackwell, vol. 46(2), pages 183-205, June.
    5. Dar-Zen Chen & Wen-Yau Cathy Lin & Mu-Hsuan Huang, 2007. "Using Essential Patent Index and Essential Technological Strength to evaluate industrial technological innovation competitiveness," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(1), pages 101-116, April.
    6. Tijssen, Robert J.W., 2006. "Universities and industrially relevant science: Towards measurement models and indicators of entrepreneurial orientation," Research Policy, Elsevier, vol. 35(10), pages 1569-1585, December.
    7. Meyer, Martin, 2000. "Does science push technology? Patents citing scientific literature," Research Policy, Elsevier, vol. 29(3), pages 409-434, March.
    8. Chaomei Chen & Diana Hicks, 2004. "Tracing knowledge diffusion," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(2), pages 199-211, February.
    9. 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.
    10. Acosta, Manuel & Coronado, Daniel, 2003. "Science-technology flows in Spanish regions: An analysis of scientific citations in patents," Research Policy, Elsevier, vol. 32(10), pages 1783-1803, December.
    11. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    12. Albert, M. B. & Avery, D. & Narin, F. & McAllister, P., 1991. "Direct validation of citation counts as indicators of industrially important patents," Research Policy, Elsevier, vol. 20(3), pages 251-259, June.
    13. Meyer-Krahmer, Frieder & Schmoch, Ulrich, 1998. "Science-based technologies: university-industry interactions in four fields," Research Policy, Elsevier, vol. 27(8), pages 835-851, December.
    14. Manuel Trajtenberg, 1990. "A Penny for Your Quotes: Patent Citations and the Value of Innovations," RAND Journal of Economics, The RAND Corporation, vol. 21(1), pages 172-187, Spring.
    15. Loet Leydesdorff & Martin Meyer, 2003. "The Triple Helix of university-industry-government relations," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 191-203, October.
    16. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
    17. Staffan Jacobsson, 2002. "Universities and industrial transformation: An interpretative and selective literature study with special emphasis on Sweden," SPRU Working Paper Series 81, SPRU - Science Policy Research Unit, University of Sussex Business School.
    18. Rebecca Henderson & Adam B. Jaffe & Manuel Trajtenberg, 1998. "Universities As A Source Of Commercial Technology: A Detailed Analysis Of University Patenting, 1965-1988," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 119-127, February.
    19. Manuel Trajtenberg & Rebecca Henderson & Adam Jaffe, 1997. "University Versus Corporate Patents: A Window On The Basicness Of Invention," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 5(1), pages 19-50.
    20. Rosell, Carlos & Agrawal, Ajay, 2009. "Have university knowledge flows narrowed?: Evidence from patent data," Research Policy, Elsevier, vol. 38(1), pages 1-13, February.
    21. repec:fth:harver:1473 is not listed on IDEAS
    22. Meagher, Kieron & Rogers, Mark, 2004. "Network density and R&D spillovers," Journal of Economic Behavior & Organization, Elsevier, vol. 53(2), pages 237-260, February.
    23. Chang, Ke-Chiun & Chen, Dar-Zen & Huang, Mu-Hsuan, 2012. "The relationships between the patent performance and corporation performance," Journal of Informetrics, Elsevier, vol. 6(1), pages 131-139.
    24. Staffan Jacobsson, 2002. "Universities and industrial transformation: An interpretative and selective literature study with special emphasis on Sweden," Science and Public Policy, Oxford University Press, vol. 29(5), pages 345-365, October.
    25. Toby E. Stuart, 2000. "Interorganizational alliances and the performance of firms: a study of growth and innovation rates in a high‐technology industry," Strategic Management Journal, Wiley Blackwell, vol. 21(8), pages 791-811, August.
    26. Martin Meyer, 2000. "Patent Citations in a Novel Field of Technology — What Can They Tell about Interactions between Emerging Communities of Science and Technology?," Scientometrics, Springer;Akadémiai Kiadó, vol. 48(2), pages 151-178, September.
    27. Hagedoorn, John & Cloodt, Myriam, 2003. "Measuring innovative performance: is there an advantage in using multiple indicators?," Research Policy, Elsevier, vol. 32(8), pages 1365-1379, September.
    28. E. Bacchiocchi & F. Montobbio, 2009. "Knowledge diffusion from university and public research. A comparison between US, Japan and Europe using patent citations," The Journal of Technology Transfer, Springer, vol. 34(2), pages 169-181, April.
    29. Loet Leydesdorff, 2012. "The Triple Helix, Quadruple Helix, …, and an N-Tuple of Helices: Explanatory Models for Analyzing the Knowledge-Based Economy?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 3(1), pages 25-35, March.
    30. Engelsman, E. C. & van Raan, A. F. J., 1994. "A patent-based cartography of technology," Research Policy, Elsevier, vol. 23(1), pages 1-26, January.
    31. Narin, Francis & Noma, Elliot & Perry, Ross, 1987. "Patents as indicators of corporate technological strength," Research Policy, Elsevier, vol. 16(2-4), pages 143-155, August.
    32. Martin Meyer, 2002. "Tracing knowledge flows in innovation systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(2), pages 193-212, June.
    33. Tijssen, Robert J. W., 2001. "Global and domestic utilization of industrial relevant science: patent citation analysis of science-technology interactions and knowledge flows," Research Policy, Elsevier, vol. 30(1), pages 35-54, January.
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    Cited by:

    1. 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.
    2. Hella Bani Baghdadi & Sami Aouadi, 2018. "Does Patent Performance Promote Relative Technological Performance in Countries Bordering the Mediterranean?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(4), pages 1246-1269, December.
    3. Yutao Sun & Chen Zhang & Robert A. W. Kok, 2020. "The role of research outcome quality in the relationship between university research collaboration and technology transfer: empirical results from China," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1003-1026, February.
    4. R. John Milne & Brian T. Denton & Troy White, 2015. "ASP, The Art and Science of Practice: How Analytics Practitioners Can Learn from Published Patents and Protect Their Work," Interfaces, INFORMS, vol. 45(3), pages 271-277, June.

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