关于全国农村居民消费水平的多元统计分析

发布时间：2019-05-20 06:09

【摘要】：近几年来,随着我国市场经济的发展,我国农村经济已经发生了巨大变化。由于我国经济发展不平衡,各地区的农村居民消费水平也有着很大的不同。因而,有必要对农村居民消费水平进行研究和讨论,以期寻找一些农村居民消费的特征,思考解决的办法。本文的研究思路是:第一步,将八个农村居民消费指标分成两组进行典型相关分析,得出两组指标之间具有很强的相关性,意味着推动农村经济发展的同时要注重优先提升农村居民保障型消费;第二步,使用因子分析的统计方法分析农村居民消费水平,得出我国31个省(直辖市、自治区)的因子得分排名,根据排名情况,说明我国需要大力发展西北部地区农村居民的经济水平;第三步,在因子分析基础上,使用系统聚类分析方法得出更合理的分类结果,让东部地区带动西部地区发展,提升农村居民经济水平,从而提升农村居民的消费水平。
[Abstract]:In recent years, with the development of market economy in our country, great changes have taken place in the rural economy of our country. Due to the imbalance of economic development in China, the consumption level of rural residents in different regions is also very different. Therefore, it is necessary to study and discuss the consumption level of rural residents in order to find some characteristics of rural residents' consumption and think about the solutions. The research ideas of this paper are as follows: in the first step, eight rural residents' consumption indicators are divided into two groups for canonical correlation analysis, and it is concluded that there is a strong correlation between the two groups of indicators. It means that while promoting the development of rural economy, we should give priority to promoting the guaranteed consumption of rural residents. In the second step, the factor analysis statistical method is used to analyze the consumption level of rural residents, and the factor score ranking of 31 provinces (municipalities directly under the Central Government and autonomous regions) in China is obtained. according to the ranking situation, It shows that China needs to vigorously develop the economic level of rural residents in northwest China. In the third step, on the basis of factor analysis, the systematic cluster analysis method is used to get more reasonable classification results, so that the eastern region can drive the development of the western region, improve the economic level of rural residents, and thus improve the consumption level of rural residents.
【学位授予单位】：苏州大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：F323.8

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