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Patent licensability and life: A study of U.S. patents registered by South Korean public research institutes

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  • Yong-Gil Lee

    (Korea Institute of Science and Technology
    Korea University of Science and Technology)

Abstract

The quality and value of a patent can be represented by several proxies, such as how often the patent is cited in other patents, whether it is licensed, and the age of the patent. The paper uses a binary choice model to investigate factors affecting patent licensing, and it uses double-bounded tobit and duration models to investigate factors affecting patent life. Explanatory variables and dependent variables are extracted from U.S. patent information and related data. Findings suggest research collaboration has a positive effect on both patent licensing and patent life. Other characteristics such as invention size, namely, the scope of the invention measured by number of claims, and organizational technological cumulativeness, measured by self-citation counts, also affect patent life.

Suggested Citation

  • Yong-Gil Lee, 2008. "Patent licensability and life: A study of U.S. patents registered by South Korean public research institutes," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 463-471, June.
    • Handle: RePEc:spr:scient:v:75:y:2008:i:3:d:10.1007_s11192-007-1879-5
    DOI: 10.1007/s11192-007-1879-5
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Park, Han Woo & Leydesdorff, Loet, 2010. "Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives," Research Policy, Elsevier, vol. 39(5), pages 640-649, June.
    2. Haoyang Song & Jianhua Hou & Yang Zhang, 2022. "Patent protection: does it promote or inhibit the patented technological knowledge diffusion?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2351-2379, May.
    3. Show-Ling Jang & Jennifer H. Chen, 2011. "What determines how long an innovative spell will last?," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 65-76, January.
    4. Feng, Zhijun & Cai, Hechang & Chen, Zinan & Zhou, Wen, 2022. "Influence of an interurban innovation network on the innovation capacity of China: A multiplex network perspective," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    5. Yong-Gil Lee, 2010. "Sectoral strategic differences of technological development between electronics and chemistry: a historical view from analyses of Korean-invented US patents during the period of 1989–1992," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(1), pages 83-92, January.
    6. Eun Han & So Sohn, 2015. "Patent valuation based on text mining and survival analysis," The Journal of Technology Transfer, Springer, vol. 40(5), pages 821-839, October.
    7. Jyun-Cheng Wang & Cheng-hsin Chiang & Shu-Wei Lin, 2010. "Network structure of innovation: can brokerage or closure predict patent quality?," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 735-748, September.
    8. Jong-Hyun Kim & Yong-Gil Lee, 2024. "Investigating Technological Advancement Strategies for the Innovation Impact of Alternative Energy Patents," Sustainability, MDPI, vol. 16(2), pages 1-25, January.
    9. Yong-Gil Lee & Ji-Hoon Lee, 2010. "Different characteristics between auctioned and non-auctioned patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(1), pages 135-148, January.
    10. Song, Haoyang & Hou, Jianhua & Zhang, Yang, 2023. "The measurements and determinants of patent technological value: Lifetime, strength, breadth, and dispersion from the technology diffusion perspective," Journal of Informetrics, Elsevier, vol. 17(1).
    11. 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.
    12. Yong-Gil Lee, 2012. "Strengthening competency linkage to innovation at Korean universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 219-230, January.
    13. JongWuk Ahn & Hyundo Choi & Dong-hyun Oh, 2019. "Leveraging bridging universities to access international knowledge: Korean universities’ R&D internationalization," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 519-537, August.
    14. Hua Cheng & Shiqian Huang & Yinhong Yu & Zhiying Zhang & Meifen Jiang, 2023. "The 2011 Collaborative Innovation Plan, University-Industry Collaboration and Achievement Transformation of Universities: Evidence from China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 1249-1274, June.
    15. Yong-Gil Lee, 2009. "What affects a patent’s value? An analysis of variables that affect technological, direct economic, and indirect economic value: An exploratory conceptual approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 623-633, June.
    16. Marusaki, Koji & Nakai, Kensei & Kataoka, Shotaro & Kawano, Seiya & Hentona, Asahi & Sakumoto, Takeshi & Yamamoto, Yuta & Mori, Kaede & Nonaka, Hirofumi, 2024. "A study on patent term prediction by survival time analysis using neural hazard model," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    17. Jongwuk Ahn & Dong-hyun Oh & Jeong-Dong Lee, 2014. "The scientific impact and partner selection in collaborative research at Korean universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 173-188, July.

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