长三角专利资助政策量化评价研究  

Quantitative Evaluation of Patent Funding Policies in the Yangtze River Delta

作　　者：徐夏静 王晓敏 李明 Xu Xiajing;Wang Xiaomin;Li Ming(Bengbu College of Technology and Business,Bengbu 233040,China)

机构地区：[1]蚌埠工商学院,安徽蚌埠233040

出　　处：《黑河学院学报》2023年第3期56-60,74,共6页Journal of Heihe University

基　　金：安徽省高校自然科学研究重点项目“数字普惠金融促进安徽贫困地区乡村振兴效应及机制研究”(KJ2021A1239);安徽省高校自然科学研究重点项目“基于专利强度视角的专利价值评估体系构建研究”(KJ2019A0912)。

摘　　要：以“十三五”期间长三角三省一市33项专利资助政策为研究对象,借助PMC指数模型对8项典型专利资助政策效果进行量化评价,结果表明:8项典型政策PMC指数均值为6.71分,处于可接受级别,整体在有效指导专利事业发展并推动知识产权强省建设具备一定优越性,各评价指标均值分化较严重,整体明显呈三梯队分布;8项政策得分排名依次为P6—P1—P4—P7—P3—P2—P5—P8,江苏>浙江>上海>安徽“依次递减”特征较显著;8项政策兼具趋同性和趋异性,在政策时效、发布机构、政策视角和政策引用评价维度趋同性较高,但在政策对象、政策功能、政策内容和资助类型方面趋异性较高。This paper makes a study on 33 patent subsidy policies in three provinces and one city in the Yangtze River Delta during the 13th Five Year Plan period,and makes a quantitative evaluation on the effects of 8 typical patent subsidy policies with the help of PMC index model.The results show the following findings:the average PMC index of 8 typical policies is 6.71 points at an acceptable level;it has certain advantages in effectively guiding the development of patent industry and promoting the construction of a strong province with intellectual property rights;the average differentiation of each evaluation index is serious,and the whole is obviously distributed in three echelons;the ranking of the scores of the eight policies is p6-p1-p4-p7-p3-p2-p5-p8,and the characteristic of"sequential decline"is more significant in JiangSu>Zhejiang>Shanghai>Anhui;the eight policies have both convergence and divergence,with high convergence in terms of policy timeliness,issuing institutions,policy perspective and policy citation evaluation,while with high divergence in terms of policy object,policy function,policy content and funding type.

关 键 词：政策评价 PMC指数模型 专利资助政策 长三角地区 

分 类 号：F204[经济管理—国民经济]