摘要
依据知识产权强省理念,从知识产权创造、运用、保护、服务4个角度出发,参考国家知识产权局发布的相关信息和知识产权指数报告,以及其他专家的研究成果,海选出125个指标进行定量分析。通过R型聚类对每个因素层下的指标层进行分类,利用距离相关分析检验聚类结果的合理性;比较每组指标的变异系数大小,变异系数越大表明指标特征越明显,越具有代表性,应当保留,而该组的其他指标删除。基于R型聚类变异系数分析,建立1套完整的知识产权评价指标体系进行定性分析,综合专家组的意见对评价指标体系进行完善。
On the basis of Strong Province in IP concept, this paper starts from the intellectual property creation, u- tilization, protection and service four angles, refers to related information issued by the State Intellectual Property Office and intellectual property index report, and other experts＇ studies, and chooses 125 indicators. Quantitative analysis comes to first. The paper classifies each index layer under factor layer by R-cluster, and test the clustering results rationality through distance correlation analysis, and comparing the size of each index coefficient of varia- tion. The bigger coefficient of variation is, the more obvious and representative indicators characteristic will be which should be retained, and other indicators of the group will be deleted. Based on the R-cluster and Coefficient of Variation analysis, a set of integrated intellectual property evaluation index system is established, and then uses qualitative analysis to improve the evaluation index system by synthesizing expert group＇s opinion.
作者
宋东林
孙娟
SONG Dong-lin SUN Juan(School of Management, Jiangsu University, Zhenjiang 212013, China Jiangsu Intellectual Property Research Center, Zhenjiang 212013, China)
出处
《科技与管理》
2017年第2期16-22,36,共8页
Science-Technology and Management
基金
国家知识产权局项目(zlzlxm-D-01)
关键词
知识产权强省
评价指标体系
R型聚类
变异系数
指标筛选
Strong Province in IP
evaluation indicators system
R-cluster
Coefficient of Variation
indicatorsscreening
