我国社会保障支出地区差异性的聚类分析  

Clustering Analysis on Regional Disparity of Social Security Expenditures in China

作　　者：陈元刚[1] 冯丹[1] 

机构地区：[1]重庆理工大学经济与贸易学院,重庆400054

出　　处：《重庆理工大学学报（社会科学）》2015年第10期60-66,共7页Journal of Chongqing University of Technology（Social Science）

基　　金：重庆理工大学研究生创新基金项目"关于我国新型军人养老保险制度设计的研究"(YCX2014245)

摘　　要：利用加权变异系数和泰尔熵标准指数分别从相对量和绝对量的角度分析我国的社会保障支出现状,得出我国社会保障支出的地区差异主要表现在东、中、西部3个区域内,其中东部地区各省市之间的社会保障支出差异尤为突出。采用快速聚类分析法将我国31个省市重新分类,结合分析结果,需要针对不同地区的实际情况,从大力发展地区经济、平衡社会保障支出、增加社会保障财政投入、加快社会保障统一体系构建等方面采取措施,以缩小我国社会保障支出的地区差异。Using the weighted variation coefficient and the index of Theil,from the perspective of the relative amounts and the absolute amounts of the status of China＇s social security expenditure,regional differences in China＇s social security expenditure mainly in three areas within the eastern,central,western were obtained,which social security expenditure differences between the eastern provinces was particularly prominent. Using the K-Means Cluster Analysis,we reclassified 31 provinces in China and combined with the analysis results,it turn out that we should vigorously develop economy,balance social security spending,increase social security financial investment and build a unified social security system,so as to reduce the regional differences of social security expenditure.

关 键 词：社会保障支出 加权变异系数 泰尔熵标准 聚类分析 

分 类 号：F840.61[经济管理—保险]