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我国各地区城镇居民消费结构差异研究 被引量:3

A Study on the Differences of Consumption Structure of Urban Residents in Different Regions of China
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摘要 城镇居民消费一直以来都是研究的热门,也是人们很关心的一个问题。文中运用因子分析和聚类分析的方法对选取的2015年我国各地区城镇居民消费的相关数据进行了统计分析,提取影响消费水平和结构的两个共同因素,并把31个地区的城镇居民消费支出状况分成了三类。通过因子得分和聚类结果来分析我国各地区居民消费水平和消费结构差异,得出分析结果,并提出相应的建议。 Urban residents consumption has been a popular research,but also people are very concerned about a problem.In this paper,factor analysis and cluster analysis were used to analyze the relevant data of urban residents' consumption in China in 2015,and two common factors influencing the consumption level and structure were extracted,and the consumption of urban residents in 31 areas. The expenditure situation is divided into three categories. Through the factor score and the clustering result,the difference between the consumption level and the consumption structure of the residents in each region is analyzed,and the results are obtained and the corresponding suggestions are put forward.
作者 郑圆 杨会杰
出处 《物流工程与管理》 2017年第7期164-167,共4页 Logistics Engineering and Management
关键词 消费水平 消费结构 因子分析 聚类分析 consumption level consumption structure factor analysis cluster analysis
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  • 1平新乔,白洁.中国财政分权与地方公共品的供给[J].财贸经济,2006,27(2):49-55. 被引量:296
  • 2胡日东,苏梽芳.中国城镇化发展与居民消费增长关系的动态分析——基于VAR模型的实证研究[J].上海经济研究,2007,19(5):58-65. 被引量:100
  • 3董辅初.《发展教育产业能拉动消费需求和投资需求》[J].教育发展研究,1999,.
  • 4William H.Greene,econometric analysis(4th Edition)[M].北京:清华大学出版社, 2001.
  • 5Johnston J. Econometric methods[M]. 3rd Edition, McGraw-Hill Book Co. New York, 1984.
  • 6Duesenberry, J S. Income, saving and the theory of consumer behavior[M]. Havard University Press, 1949.
  • 7吴先满.城乡居民收入增长研究--来自江苏的报告[J].经济科学出版社,2004.
  • 8古扎拉蒂(美国).计量经济学[M].中国人民大学出版社,2000.
  • 9Stone R. Linear Expenditure Systems and Demand Analysis: An Application to the Pattern of British Demand [ J]. The Economic Journal, 1954, 64 (255) : 511 -527.
  • 10Liuch and Constantino. The Extended Linear Expenditure System [ J]. European Economics Review, 1973 (4) : 21 -32.

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