基于主成分分析法的中国城镇居民消费结构研究  

Principal Component Analysis on China's Consumption Structure of Urban Residents

作　　者：赵丽棉[1] 黄基廷[1] 

机构地区：[1]河池学院数学系,广西宜州546300

出　　处：《广西科学》2012年第2期121-124,共4页Guangxi Sciences

基　　金：新世纪广西高等教育教改工程项目(广西教育厅2011JGA098);广西自然科学基金项目(2010GXNSFB013051)资助

摘　　要：以2009年全国31个省、市、自治区的城镇居民家庭平均每人全年消费性支出的食品、衣着、居住、家庭设备用品及服务、医疗保健、交通与通讯、娱乐教育文化服务、其它商品和服务等8个指标数据为依据,利用R统计软件,采用主成分分析法对当前城镇居民消费结构进行分析,结果显示:娱乐教育文化服务、交通通讯、家庭设备用品、居住、食品是影响消费大小变动的主要因素,而衣着、医疗保健、居住、食品是影响消费结构变动的主要因素;各省市城镇居民消费大小与其经济发达程度密切相关;相邻省市消费结构比较相似;沿海地区与内地消费结构有较大的差别.Based on the eight indicator data of the Per Capita Annual Living Expenditure of Urban Residents from 31 provinces,cities and autonomous regions of China in 2009,the current consumption of urban residents structure was analyzed using the R statistical software to adopt the principal component analysis.The results showed that recreation,education and cultural services,transportation and communications,household appliances,housing,and food are the main factors affecting the size of changes in consumption,while clothing,medical care,housing,and food are the main factors that affect the changes in consumption structure;the size of consumption of urban residents in provinces and cities is closely related to the level of their economic development;it is quite similar to the adjacent provinces and cities in the consumption structure;and there are large differences in consumption structure between the mainland and coastal regions.

关 键 词：城镇居民 消费结构 相关性 主成分分析法 

分 类 号：O212.4[理学—概率论与数理统计]