Analysis of Key Features of High-Value Patent Based on Lasso-Logit
DOI: 10.23977/ferm.2023.060313 | Downloads: 7 | Views: 351
Author(s)
Ge Zhou 1, Yuliang Tong 1, Haiyou Wang 1
Affiliation(s)
1 State Grid Economics and Technology Research Institute Co. Ltd, Beijing, China
Corresponding Author
Ge ZhouABSTRACT
High-value patent is the key factor for improving corporate core competitiveness, which carries great significance for achieving high quality corporate development strategy. The “14th Five-Year Plan for the National Protection and Application of Intellectual Property Rights” issued by the State Council clearly states the need to shift from focus on quantity to quality development in advancing intellectual property related work, thus enabling high-quality development of intellectual property rights. In order to provide scientific and effective evaluation of high-value patents, this paper centres on the connotation of high-value patents, analyzes 914 samples including control patents and patents that won gold and silver prize in 15th to 23rd China Patent Award. According to the formation stage of high-value patents-- technical invention, application review, authorization protection and market transformation, a high-value patent evaluation index system consisting of 15 related indexes was constructed. Key features of high-value patents were identified and screened based on Lasso-logit method in order to provide index references for the identification and cultivation of high-value patents.
KEYWORDS
High-value patent, china patent award, evaluation index, lasso-logit modelCITE THIS PAPER
Ge Zhou, Yuliang Tong, Haiyou Wang, Analysis of Key Features of High-Value Patent Based on Lasso-Logit. Financial Engineering and Risk Management (2023) Vol. 6: 87-95. DOI: http://dx.doi.org/10.23977/ferm.2023.060313.
REFERENCES
[1] Liu Qin, Yang Rengan, Liu Youhua. High-value patent evaluation methods, existing problems and countermeasures. Science and Technology Management Research, 2022, 42 (04): 147-152.
[2] Chao Rong, Xi Hongzheng. Research on the correlation between the key features of China gold award-winning patents and high-value patents. Information Research, 2019 (10): 8.
[3] Hu Zewen, Zhou Xiji, Ren Ping. Research overview of evaluation and identification of high-value patent based on grounded theory. Information Science, 2022, 40 (02): 183-192. The DOI: 10.13833 / j.i SSN. 1007-7634.2022.02.025.
[4] Zhang Xi, Hu Yuanjia. A Study on the patent value evaluation method without market benchmarking: Theoretical basis, empirical research and future challenges. Soft Science, 2010, 24 (9): 3.
[5] Beaudry C, Schiffauerova A. Impacts of collaboration and network indicators on patent quality: The case of Canadian nanotechnology innovation. European Management Journal, 2011, 29 (5): 362-376.
[6] Caviggioli F, Ughetto E. Buyers in the patent auction market: Opening the black box of patent acquisitions by non-practicing entities. Technological forecasting and social change, 2016 (Mar.): 104.
[7] Ma Yongtao, Zhang Xu, Fu Junying, et al. Review of core patents and their identification methods. Journal of Information, 2014 (5): 38-43.
[8] Hu Caiyan, Wang Xinning. Review of exploration into patent value evaluation methods. China Invention & Patent, 2016 (3): 4.
[9] Bai Limin, Zhu Zhe, Liu Lin, et al. Research on intelligent identification of potential high-value patents in Internet field. China Invention & Patent, 2018, 15 (11): 5.
[10] Li Juan, Li Baoan, Fang Han, et al. Evaluation of invention patent value based on AHP-Entropy weight method: A case study of Toyota open patent. Journal of Information, 2020, 39 (5): 5.
[11] Tibshirani R. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society, Series B, 1996, 58 (1).
Downloads: | 18337 |
---|---|
Visits: | 352995 |
Sponsors, Associates, and Links
-
Information Systems and Economics
-
Accounting, Auditing and Finance
-
Industrial Engineering and Innovation Management
-
Tourism Management and Technology Economy
-
Journal of Computational and Financial Econometrics
-
Accounting and Corporate Management
-
Social Security and Administration Management
-
Population, Resources & Environmental Economics
-
Statistics & Quantitative Economics
-
Agricultural & Forestry Economics and Management
-
Social Medicine and Health Management
-
Land Resource Management
-
Information, Library and Archival Science
-
Journal of Human Resource Development
-
Manufacturing and Service Operations Management
-
Operational Research and Cybernetics