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作 者:陈池波[1] 李硕 田云[1] Chen Chibo;Li Shuo;Tian Yun(School of Business Administration,Zhongnan University of Economics and Law,Wuhan 430073,China)
机构地区:[1]中南财经政法大学工商管理学院,武汉430073
出 处:《统计与决策》2021年第21期164-169,共6页Statistics & Decision
基 金:湖北省政府智力成果采购重点项目(HBZD-2020-05)。
摘 要:文章通过重新构建评价指标体系为现有统计条件下跨时空农村产业融合度水平比较提供新方案,在此基础上,分别利用熵值法和均权法对我国31个省份展开测度。结果表明:中国农村产业融合水平省域差异明显但整体呈现"东高西低"特征,即东部高于中部,中部高于西部。通过比较发现,熵权法和均权法下的评价结果具有较高一致性,可见赋权方法的不同并未改变中国农村产业融合水平的地理梯度特征,不过均权法在分析多样性和体系开放性方面存在优势。By reconstructing the evaluation index system, this paper provides a new scheme for the comparison of the level of rural industrial integration across time and space under the existing statistical conditions, and then on this basis, uses the entropy method and equal-weight method to conduct measurement on 31 provinces in China, respectively. The results show that the level of rural industrial integration in China is significantly different among provinces, with the overall characteristics of"high in the east and low in the west", that is, the east is higher than the middle, and the middle is higher than the west. The comparison also finds that the evaluation results of entropy method and equal weight method have a high consistency, so it can be seen that the different weighting methods do not change the geographical gradient characteristics of China’s rural industrial integration level, but the equal-weight method has advantages in analyzing diversity and system openness.
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