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Measuring the dynamics of an innovation system using patent data: a case study of South Korea, 2001–2010

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  • Pieter Stek
  • Marina Geenhuizen

Abstract

The Korean innovation system is analyzed based on patenting and co-patenting behavior between different knowledge producers (university, government, small- and medium sized enterprises (SMEs), conglomerates, individuals) in 34 different technologies. Patent data is obtained from the Korean Intellectual Property Office for the years 2001–2010. The traditional Triple Helix model of university-industry-government relations is expanded to include additional knowledge producers. The results indicate that the Korean innovation system has become less balanced in terms of technology: patent output has tended to grow rapidly in areas in which Korea is already strong. But the innovation system has become more balanced in terms of knowledge producers: SMEs, universities and individuals are being assigned an increasing number of patents. University patenting has grown most rapidly, especially in fast-growing technologies, in which university-business co-patenting is most prevalent. This suggests that rising public investment in university research is paying off, and that university research is industry-relevant. The data also reveal some unexpected changes: patenting by conglomerates rapidly rose from 2001, peaking in 2005, and then fell. Patenting by individuals has continued to rise throughout the period being studied. Copyright Springer Science+Business Media Dordrecht 2015

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  • Pieter Stek & Marina Geenhuizen, 2015. "Measuring the dynamics of an innovation system using patent data: a case study of South Korea, 2001–2010," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1325-1343, July.
    • Handle: RePEc:spr:qualqt:v:49:y:2015:i:4:p:1325-1343
    DOI: 10.1007/s11135-014-0045-4
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    Cited by:

    1. Pieter E. Stek, 2020. "Mapping high R&D city-regions worldwide: a patent heat map approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 279-296, February.
    2. Øivind Strand & Inga Ivanova & Loet Leydesdorff, 2017. "Decomposing the Triple-Helix synergy into the regional innovation systems of Norway: firm data and patent networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 963-988, May.
    3. Ekaterina Albats & Irina Fiegenbaum & James A. Cunningham, 2018. "A micro level study of university industry collaborative lifecycle key performance indicators," The Journal of Technology Transfer, Springer, vol. 43(2), pages 389-431, April.

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