| Issue |
E3S Web Conf.
Volume 409, 2023
International Conference on Management Science and Engineering Management (ICMSEM 2023)
|
|
|---|---|---|
| Article Number | 02001 | |
| Number of page(s) | 11 | |
| Section | Decision Support Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202340902001 | |
| Published online | 01 August 2023 | |
A Comparative Study of Factors Influencing the Survival Time of Invention Patents in Chinese Universities
1 Business School, Sichuan University, Chengdu 610065, People’s Republic of China
2 Literature and Journalism School, Sichuan University, Chengdu 610065, People’s Republic of China
3 National University Science Park, Sichuan University, Chengdu 610065, People’s Republic of China
* e-mail: jiligilly@163.com
Based on the fact that the granted amount of patents in Chinese universities have increased significantly, we took the invention patents applied by universities in Sichuan Province from 2001 to 2015 as a sample and adopted Kaplan-Meier survival analysis and Cox proportional hazards model. We found significant differences in the survival time of invention patents in the three types of universities Based on this, we conducted an empirical study and comparative analysis on the factors influencing the survival time of the three types of universities. It was found that the number of citations and the number of patent families have different effects on the survival time of invention patents in the three types of universities; the examination time and the number of inventors have negative effects on the survival time of invention patents in the three types of universities; the number of claims, the number of IPCs and the number of forward citations have positive effects on the survival time of invention patents in the three types of universities. This paper can provide some reference for universities to cultivate high-value patents.
Key words: Patents and inventions / Technology transfer / Survival analysis / Influencing factor
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.