摘 要:长期以来,城镇居民的生活水平一直是衡量一个国家或城市的经济发展状况的重要指标,因此分析影响城镇居民生活水平的因素,对居民生活水平的提高和国家经济水平的提高具有重要意义。本文选取了10个指标,根据2012年国家统计年鉴,以我国31个省(市)的数据为样本,先进行因子分析,提取出了4个公因子,分别为经济状况因子、教育状况因子、医疗状况因子、居住状况因子,进一步根据因子得分矩阵算出各样本的综合得分并对其进行排序。毕业论文又结合聚类分析的方法,运用系统聚类方法对样本进行分类,并对结果进行分析。最后在前面分析的基础上得出结论,并对提高我国城镇居民的生活水平提出了一些可行性建议。19314
关键词:城镇居民;生活水平;因子分析;聚类分析;SPSS
Urban Residents Living Level Analysis in Different Provinces
Abstract: for a long time, the standard of living of urban residents has been the measure of a country or a city's economic development an important indicator, so the analysis of the factors influencing residents' living standard, to the improvement of our national economy and the improvement of people's living standard is of great significance. This paper selected the 10 indicators, according to the national statistical yearbook 2012, with the data of 31 provinces (cities) in China as samples, using the factor analysis method to extract the four common factor, economic factor, education conditions respectively factor, health factor, living conditions factor. According to the factor score matrix to calculate each factor score of sample and sorted. The articles combining with clustering analysis method, use the system clustering method to classify the sample, and analyze the results. Finally on the basis of previous analysis conclusions, to improve the standards of living of urban residents in our country put forward some feasible suggestions.
Key words: Urban Residents; Living Standards; Factor Analysis; Clustering Analysis; SPSS
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