中国专利金奖主要特征与高价值专利相关性研究  

Research on the Correlation Between the Main Characteristics of China Patent Gold Award and High-value Patents

作　　者：晁蓉[1] 席宏正[1] Chao Rong;Xi Hongzheng(Hunan University Library,Changsha Hunan 410082)

机构地区：[1]湖南大学图书馆

出　　处：《情报探索》2019年第10期1-8,共8页Information Research

基　　金：教育部人文社会科学研究一般项目“基于中国专利金奖提取的高价值专利评估方法研究”(项目编号:19YJA870003);湖南省哲学社会科学基金项目“中国专利金奖特征提取与高价值专利评估方法研究”(项目编号:18YBA079)成果之一

摘　　要：[目的/意义]为筛选和预判高价值专利的产生提供参考。[方法/过程]以中国发明专利金奖作为样本,在提取这些专利5个主要特征的基础上提出高价值专利研究假设,构建高价值专利的主要特征及产生概率的回归模型,并对实证结果进行分析。[结果/结论]结果表明,5个主要特征中,4年内被引频次、权利要求数、三方专利族与高价值专利有显著正向关系,技术宽度、专利诉讼次数与高价值专利有显著负向关系。因此,针对相近技术领域的相关专利,可以此回归模型作为定量分析工具,预测高价值专利产生的概率。[Purpose/significance]The paper is to provide references for screening high-value patents and predicting their emergence.[Method/process]The paper takes the China invention patents winning gold award as samples,puts forward the hypothesis of high-value patent research on the basis of extracting the five main characteristics of these patents,and constructs high-value patent’s main characteristics and regression model predicting its generation probability,and analyzes the empirical results.[Result/conclusion]The results show that among the five main characteristics,the frequency of citation within 4 years,the number of claims,and the triadic patent families have significant positive relationships with high-value patent;the technology width,the number of patent litigation have significant negative relationships with high-value patent.Therefore,this regression model can be used as a quantitative analysis tool to predict the probability of high-value patents for the related patents in similar technical fields.

关 键 词：发明专利 高价值专利 专利指标 中国专利奖 

分 类 号：G306[文化科学]