IDEAS home Printed from https://ideas.repec.org/a/eee/infome/v17y2023i1s1751157722001237.html
   My bibliography  Save this article

The measurements and determinants of patent technological value: Lifetime, strength, breadth, and dispersion from the technology diffusion perspective

Author

Listed:
  • Song, Haoyang
  • Hou, Jianhua
  • Zhang, Yang

Abstract

Elucidating and prejudging the patent technological value (PTV) is an important issue in the field of technology innovation and Patentometrics. However, most studies adopt a static perspective to define and evaluate it according to forward citations (FC), which disregards the time attribute and evolution process and may cause some contradictions or ambiguities among findings. Through combing the time and number attributes of FC, this study recommends a four-dimensional index (technology lifetime, strength, breadth, and dispersion) from the standpoint of patented technology diffusion, a dynamic evolution process. By considering patent data from three technology fields - graphene, information and communication, bio-medicine - as samples, we examine the multidimensional characteristics of PTV and further adopt Cox and multiple regression analysis to determine its influential factors. The finding shows that PTV is multi-dimensional and the four-dimensional index is helpful to explain the differentiation effects of different influential factors. Furthermore, six internal factors (intrinsic and evolutionary) that influence PTV in varying degree are identified and verified. Specially, as for intrinsic factors, only backward citation influences all four-dimensional index with a positive impact on technology lifetime and strength, and negative impact on breadth and dispersion. Technology field can negatively affect strength and breadth, but positively affect dispersion. Delivery term can only affect technology lifetime negatively. As for evolutionary factors, patent legal lifetime influences all four-dimensional index with a negative impact on technology lifetime and strength, and positive impact on breadth and dispersion. Forward citation exerts a positive impact on breadth and strength while a negative impact on technology lifetime and dispersion. Transfer number exerts a positive impact on technology lifetime, but a negative influence on dispersion. This study not only offers a four-dimensional index to signify the technological value of a patent, but construes the contradictions or ambiguities about the relationships between the influential factors and PTV. Besides, the influential factor model is also helpful to prejudge the technological value of patents at different stages after the granting.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:infome:v:17:y:2023:i:1:s1751157722001237
    DOI: 10.1016/j.joi.2022.101370
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1751157722001237
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.joi.2022.101370?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. Marco, Alan C., 2007. "The dynamics of patent citations," Economics Letters, Elsevier, vol. 94(2), pages 290-296, February.
    2. Jianhua Hou & Xiucai Yang, 2019. "Patent sleeping beauties: evolutionary trajectories and identification methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 187-215, July.
    3. Ernst, Holger & Omland, Nils, 2011. "The Patent Asset Index - A new approach to benchmark patent portfolios," World Patent Information, Elsevier, vol. 33(1), pages 34-41, March.
    4. Vishwasrao, Sharmila & Gupta, Srabana & Benchekroun, Hassan, 2007. "Optimum tariffs and patent length in a model of North-South technology transfer," International Review of Economics & Finance, Elsevier, vol. 16(1), pages 1-14.
    5. Zheng, Zhijie & Huang, Chien-Yu & Yang, Yibai, 2020. "Patent protection, innovation, and technology transfer in a Schumpeterian economy," European Economic Review, Elsevier, vol. 129(C).
    6. 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.
    7. Hiroko Nakamura & Shinji Suzuki & Tomobe Hironori & Yuya Kajikawa & Ichiro Sakata, 2011. "Citation lag analysis in supply chain research," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 221-232, May.
    8. Grimaldi, Michele & Cricelli, Livio & Di Giovanni, Martina & Rogo, Francesco, 2015. "The patent portfolio value analysis: A new framework to leverage patent information for strategic technology planning," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 286-302.
    9. Anthony Breitzman & Patrick Thomas, 2015. "Inventor team size as a predictor of the future citation impact of patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 631-647, May.
    10. Qiao Zheng & Lu-Cheng Huang & Fei-Fei Wu & Wu Dan & Zhang Hui, 2017. "Analyzing Technological Knowledge Diffusion Among Technological Fields Using Patent Data: The Example of Microfluidics," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(01), pages 1-17, February.
    11. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
    12. Carlos J. Serrano, 2010. "The dynamics of the transfer and renewal of patents," RAND Journal of Economics, RAND Corporation, vol. 41(4), pages 686-708, December.
    13. 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.
    14. 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.
    15. Manuel Acosta & Daniel Coronado & Rosario Marín & Pedro Prats, 2013. "Factors affecting the diffusion of patented military technology in the field of weapons and ammunition," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 1-22, January.
    16. repec:ipg:wpaper:2014-367 is not listed on IDEAS
    17. Tuomo Nikulainen & Raine Hermans & Martti Kulvik, 2008. "Patent Citations Indicating Present Value Of The Biotechnology Business," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 5(03), pages 279-301.
    18. Hikkerova, Lubica & Kammoun, Niaz & Lantz, Jean-Sébastien, 2014. "Patent life cycle: New evidence," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 313-324.
    19. Fisch, Christian & Sandner, Philipp & Regner, Lukas, 2017. "The value of Chinese patents: An empirical investigation of citation lags," China Economic Review, Elsevier, vol. 45(C), pages 22-34.
    20. Harhoff, Dietmar & Scherer, Frederic M. & Vopel, Katrin, 2003. "Citations, family size, opposition and the value of patent rights," Research Policy, Elsevier, vol. 32(8), pages 1343-1363, September.
    21. Andrew Eckert & Corinne Langinier, 2014. "A Survey Of The Economics Of Patent Systems And Procedures," Journal of Economic Surveys, Wiley Blackwell, vol. 28(5), pages 996-1015, December.
    22. 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.
    23. Baruffaldi, Stefano H. & Simeth, Markus, 2020. "Patents and knowledge diffusion: The effect of early disclosure," Research Policy, Elsevier, vol. 49(4).
    24. Scott Shane, 2001. "Technological Opportunities and New Firm Creation," Management Science, INFORMS, vol. 47(2), pages 205-220, February.
    25. Michele Grimaldi & Livio Cricelli, 2020. "Indexes of patent value: a systematic literature review and classification," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 18(2), pages 214-233, April.
    26. Carpenter, Mark P. & Narin, Francis & Woolf, Patricia, 1981. "Citation rates to technologically important patents," World Patent Information, Elsevier, vol. 3(4), pages 160-163, October.
    27. Marco, Alan C. & Sarnoff, Joshua D. & deGrazia, Charles A.W., 2019. "Patent claims and patent scope," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    28. Shyh-Jen Wang, 2007. "Factors to evaluate a patent in addition to citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(3), pages 509-522, June.
    29. Richard Gilbert & Carl Shapiro, 1990. "Optimal Patent Length and Breadth," RAND Journal of Economics, The RAND Corporation, vol. 21(1), pages 106-112, Spring.
    30. Snehal Awate & Ram Mudambi, 2018. "On the geography of emerging industry technological networks: the breadth and depth of patented innovations," Journal of Economic Geography, Oxford University Press, vol. 18(2), pages 391-419.
    31. Lee, Changyong & Cho, Yangrae & Seol, Hyeonju & Park, Yongtae, 2012. "A stochastic patent citation analysis approach to assessing future technological impacts," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 16-29.
    32. Davit Khachatryan & Brigitte Muehlmann, 2019. "Measuring technological breadth and depth of patent documents using Rao’s Quadratic Entropy," Journal of Applied Statistics, Taylor & Francis Journals, vol. 46(15), pages 2819-2844, November.
    33. Sungho Son & Nam-Wook Cho, 2020. "Technology Fusion Characteristics in the Solar Photovoltaic Industry of South Korea: A Patent Network Analysis Using IPC Co-Occurrence," Sustainability, MDPI, vol. 12(21), pages 1-19, October.
    34. Jin, Peizhen & Mangla, Sachin Kumar & Song, Malin, 2022. "The power of innovation diffusion: How patent transfer affects urban innovation quality," Journal of Business Research, Elsevier, vol. 145(C), pages 414-425.
    35. Guijie Zhang & Yuqiang Feng & Guang Yu & Luning Liu & Yanqiqi Hao, 2017. "Analyzing the time delay between scientific research and technology patents based on the citation distribution model," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1287-1306, June.
    36. Reitzig, Markus, 2003. "What determines patent value?: Insights from the semiconductor industry," Research Policy, Elsevier, vol. 32(1), pages 13-26, January.
    37. Jean O. Lanjouw & Mark Schankerman, 2004. "Patent Quality and Research Productivity: Measuring Innovation with Multiple Indicators," Economic Journal, Royal Economic Society, vol. 114(495), pages 441-465, April.
    38. Francois P. Kabore & Walter G. Park, 2019. "Can patent family size and composition signal patent value?," Applied Economics, Taylor & Francis Journals, vol. 51(60), pages 6476-6496, December.
    39. Zeng, Jinli & Zhang, Jie & Fung, Michael Ka-Yiu, 2014. "Patent Length And Price Regulation In An R&D Growth Model With Monopolistic Competition," Macroeconomic Dynamics, Cambridge University Press, vol. 18(1), pages 1-22, January.
    40. Chen, Lixin, 2017. "Do patent citations indicate knowledge linkage? The evidence from text similarities between patents and their citations," Journal of Informetrics, Elsevier, vol. 11(1), pages 63-79.
    41. Fischer, Timo & Leidinger, Jan, 2014. "Testing patent value indicators on directly observed patent value—An empirical analysis of Ocean Tomo patent auctions," Research Policy, Elsevier, vol. 43(3), pages 519-529.
    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. Armin Mertens & Marc Scheufen, 2024. "Intellectual property and fourth industrial revolution technologies: how the patent system is shaping the future in the data-driven economy," European Journal of Law and Economics, Springer, vol. 57(1), pages 275-310, April.

    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. Fernández, Ana María & Ferrándiz, Esther & Medina, Jennifer, 2022. "The diffusion of energy technologies. Evidence from renewable, fossil, and nuclear energy patents," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    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. Manuel Acosta & Daniel Coronado & Esther Ferrándiz & Manuel Jiménez, 2022. "Effects of knowledge spillovers between competitors on patent quality: what patent citations reveal about a global duopoly," The Journal of Technology Transfer, Springer, vol. 47(5), pages 1451-1487, October.
    4. Jungpyo Lee & So Young Sohn, 2017. "What makes the first forward citation of a patent occur earlier?," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 279-298, October.
    5. Huang, Kenneth Guang-Lih & Huang, Can & Shen, Huijun & Mao, Hao, 2021. "Assessing the value of China's patented inventions," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    6. Grimaldi, Michele & Cricelli, Livio & Di Giovanni, Martina & Rogo, Francesco, 2015. "The patent portfolio value analysis: A new framework to leverage patent information for strategic technology planning," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 286-302.
    7. Bo Kyeong Lee & So Young Sohn, 2017. "Exploring the effect of dual use on the value of military technology patents based on the renewal decision," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1203-1227, September.
    8. Higham, Kyle & de Rassenfosse, Gaétan & Jaffe, Adam B., 2021. "Patent Quality: Towards a Systematic Framework for Analysis and Measurement," Research Policy, Elsevier, vol. 50(4).
    9. Leila Tahmooresnejad & Catherine Beaudry, 2019. "Capturing the economic value of triadic patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 127-157, January.
    10. Caviggioli, Federico & De Marco, Antonio & Montobbio, Fabio & Ughetto, Elisa, 2020. "The licensing and selling of inventions by US universities," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    11. Chandra, Praveena & Dong, Andy, 2018. "The relation between knowledge accumulation and technical value in interdisciplinary technologies," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 235-244.
    12. Mohd Shadab Danish & Pritam Ranjan & Ruchi Sharma, 2022. "Assessing the Impact of Patent Attributes on the Value of Discrete and Complex Innovations," Papers 2208.07222, arXiv.org.
    13. Mohd Shadab Danish & Pritam Ranjan & Ruchi Sharma, 2021. "Identification of “Valuable” Technologies via Patent Statistics in India: An Analysis Based on Renewal Information," BASE University Working Papers 13/2021, BASE University, Bengaluru, India.
    14. Nicolas van Zeebroeck, 2011. "The puzzle of patent value indicators," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 20(1), pages 33-62.
    15. Hur, Wonchang & Oh, Junbyoung, 2021. "A man is known by the company he keeps?: A structural relationship between backward citation and forward citation of patents," Research Policy, Elsevier, vol. 50(1).
    16. Xue Yang & Hao Zhang & Die Hu & Bingde Wu, 2023. "The timing dilemma: understanding the determinants of innovative startups’ patent collateralization for loans," Small Business Economics, Springer, vol. 60(1), pages 371-403, January.
    17. Hu, Zewen & Zhou, Xiji & Lin, Angela, 2023. "Evaluation and identification of potential high-value patents in the field of integrated circuits using a multidimensional patent indicators pre-screening strategy and machine learning approaches," Journal of Informetrics, Elsevier, vol. 17(2).
    18. Yi Zhang & Yue Qian & Ying Huang & Ying Guo & Guangquan Zhang & Jie Lu, 2017. "An entropy-based indicator system for measuring the potential of patents in technological innovation: rejecting moderation," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1925-1946, June.
    19. Jee, Su Jung & Kwon, Minji & Ha, Jung Moon & Sohn, So Young, 2019. "Exploring the forward citation patterns of patents based on the evolution of technology fields," Journal of Informetrics, Elsevier, vol. 13(4).
    20. Nicolas van Zeebroeck, 2007. "Patents only live twice: a patent survival analysis in Europe," Working Papers CEB 07-028.RS, ULB -- Universite Libre de Bruxelles.

    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:17:y:2023:i:1:s1751157722001237. 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.