文献类型：期刊文献

英文题名：The policy efficiency evaluation of the Beijing-Tianjin-Hebei regional government guidance fund based on the entropy method

作者：Cui, Jing[1];Liang, Qiaoqiao[1];Yin, Xianan[1];Zhang, Jun[2];Yan, Hongyan[1]

第一作者：崔婧

通讯作者：Yin, XA[1]

机构：[1]Beijing Union Univ, Management Coll, Beijing 100101, Peoples R China;[2]Beijing Wuzi Univ, Business Sch, Beijing 101149, Peoples R China

第一机构：北京联合大学管理学院

通讯机构：[1]corresponding author), Beijing Union Univ, Management Coll, Beijing 100101, Peoples R China.|[1141755]北京联合大学管理学院;[11417]北京联合大学;

年份：0

外文期刊名：APPLIED MATHEMATICS AND NONLINEAR SCIENCES

收录：EI(收录号：20220111421967);Scopus(收录号：2-s2.0-85122028385);WOS:【ESCI(收录号:WOS:000734848900001)】；

语种：英文

外文关键词：policies of government guidance funds; analytic hierarchy process; entropy method; grey relational analysis

摘要：With China's strong support for innovation and development, the policies of government guidance funds are an important driving force for leading innovation and economic transformation, and the effect of its related policies is of great significance. This paper selects 518 policies related to government guidance funds in the Beijing-Tianjin-Hebei region from 2005 to 2018 as the research object and constructs a policy efficiency evaluation indicator system from three dimensions of policy intensity, policy objectives and measures. The analytic hierarchy process (AHP) and entropy method are used to weight the output level of policy innovation performance and economic performance of government guidance funds, and grey relational analysis (GRA) is used to measure the relationship between policies of government guidance funds and innovation performance and economic performance, and corresponding policy recommendations based on the research results. The results of the research show that the policy efficiency of the government guidance funds in Tianjin and Hebei is relatively high, and the policy efficiency of the Beijing government guidance funds needs to be improved. In general, the policy efficiency of the government guidance funds needs to be further improved.