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基于聚类分析的我国城镇居民消费结构差异化研究
引用本文:罗甜甜,龚日朝,马霖源.基于聚类分析的我国城镇居民消费结构差异化研究[J].南华大学学报(自然科学版),2016,30(2):65-71.
作者姓名:罗甜甜  龚日朝  马霖源
作者单位:湖南科技大学 商学院,湖南 湘潭 411201,湖南科技大学 商学院,湖南 湘潭 411201,湖南科技大学 商学院,湖南 湘潭 411201
基金项目:国家社会科学基金资助项目(09BTJ2019)
摘    要:居民消费结构不仅反映地区居民消费偏好程度以及对居民收入、消费品价格等因素的敏感程度,而且能反映地区居民的生活质量与区域经济发展水平.本文基于聚类分析方法原理,构建类之间最小距离关于分类数的函数关系,然后根据曲线在分类数点的曲线斜率变化特征确定分类数,对2013年我国31个省、直辖市、自治区的城镇居民消费结构差异化特征进行研究.研究结果表明我国城镇居民结构还存在较大差异,将近三分之二属于中西部地区的省份消费水平在全国平均水平以下.

关 键 词:城镇居民  消费结构  聚类分析
收稿时间:2016/1/11 0:00:00

Research on Chinese Urban Residents' Consumption StructureDifferentiation Based on the Cluster Analysis
LUO Tain-tian,GONG Ri-zhao and MA Lin-yuan.Research on Chinese Urban Residents' Consumption StructureDifferentiation Based on the Cluster Analysis[J].Journal of Nanhua University:Science and Technology,2016,30(2):65-71.
Authors:LUO Tain-tian  GONG Ri-zhao and MA Lin-yuan
Institution:Business College,Hunan University of Science and Technology,Xiangtan,Hunan 411201,China,Business College,Hunan University of Science and Technology,Xiangtan,Hunan 411201,China and Business College,Hunan University of Science and Technology,Xiangtan,Hunan 411201,China
Abstract:Residents'' consumption structure reflects not only the preference degree of regional resident consumption as well as the sensitive degree of the residents income and consumer price,but also the residents'' quality of life and the regional economic development level.This paper,based on the principle of clustering analysis method,builds a function of minimum distance between classes about classification,and then determines the classification number according to the curve slope characteristics that in the classification number to research the consumption structure differentiation characteristics of Chinese urban residents for urban residents of 31 provinces,municipalities and autonomous regions in 2013.Research results show that there are great differences in the structure of urban residents in China,nearly two-thirds of the provinces belong to the Midwest where the consumption level is below the national average level.
Keywords:urban residents  consumption structure  cluster analysis
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