基于主成分分析的农村居民消费性支出研究——以中国31个省市为例

摘要

The evaluation model based on principal component analysis avoids the subjectivity of evaluation to some extent,overcomes the correlation between indicators and has smaller information loss rate.This paper uses principal component analysis to select the leading factors affecting family consumption expenditure of rural inhabitants of each province and municipality of China,then classifies the provinces and municipalities which have similar consumption expenditure level through system clustering analysis to construct hierarchical clustering diagram to describe consumption expenditure level of rural residents of all provinces and municipalities of China and obtains relatively reasonable result in order to provide corresponding strategies for current rural inhabitants consumption expenditure in China.%基于主成分分析的评价模型,在一定程度上避免了评价的主观性、克服了指标之间的相关性,且信息损失率较少;运用主成分分析法筛选出影响我国各省市农村居民家庭消费性支出的主导成分,再通过系统聚类将消费支出水平相近的省市归类,构成谱系聚类图用以描述我国各省市农村居民消费性支出水平,取得了较为合理的结果;力求对中国目前的农村居民消费性支出提出了相应策略。