摘要
[目的/意义]识别高价值专利,为提升专利拍卖效率提供支撑,促进科技成果转移转化。[方法/过程]构建引证网络专利质量指数,以中国科学院计算技术研究所专利拍卖数据为研究对象,利用Heckman两阶段模型和Probit回归模型研究引用专利和被引用专利质量对目标专利拍卖价格的影响。[结果/结论]引用专利质量越高,专利拍卖成交概率越高;专利拍卖成交价格不仅取决于被引用量,还与被引用专利质量正向关联,而且被引用专利质量越高,实现高成交价的可能性越高。可见,高价值专利筛选既要关注被引用数量,还应考虑引证网络中引用专利和被引用专利的专利质量评价。
[Purpose/Significance]This paper intends to identify high-value patents,provide support for improving the efficiency of patent auctions,and promote the technology transfer.[Method/Process]We construct patent quality index and study the influence of the quality of forward cited patents and backward cited patents on the auction price based on the patentauction data of Institute of Computing Technology of Chinese Academy of Sciences with the method of the Heckman two-stage model and Probit regression model.[Result/Conclusion]The greater the quality of the backward cited patents,the higher the probability of patent auction transactions;patent auction price is not only closely related to its own forward citations,but also positively related to the quality of the forward cited patents.The higher the quality of the forward cited patent is,the higher the probability of high auction price.It can be seen that high-value patent should not only focus on the forward citations,but also consider the patent quality evaluation of the forward cited patents and the backward cited patents.
作者
李黎明
张敏
李小娟
Li Liming;Zhang Min;Li Xiaojuan(School of Public Policy and Administration of Northwestern Polytechnical University,Xi'an 710129;Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190)
出处
《情报杂志》
CSSCI
北大核心
2021年第10期115-121,共7页
Journal of Intelligence
基金
国家自然科学基金青年基金项目“专利诉讼影响企业专利申请质量的作用机理研究”(编号:71904157)研究成果之一。
关键词
引证网络
专利拍卖
专利价值
专利质量
被引用量
维持周期
citation network
patent auction
patent value
patent quality
the forward citations
maintenance cycle
