Author(s)

Xiaohua Xu, Xiaofei Hu

Corresponding Author

Xiaohua Xu

ABSTRACT

With the continuous improvement of people's living standards, there are obvious differences in the per capita consumption level of each region. For this reason, 8 main factors affecting the per capita consumption expenditure of 31 provinces, cities, autonomous regions and municipalities in china are studied by clustering and factor analysis. The fuzzy c-means clustering algorithm is used to cluster the regions into four categories. Factor analysis yields two public factors, namely the long-term consumption factor and the short-term consumption factor. The cumulative contribution rate of these two factors is 94.2851%, and the sum of the scores of the two public factors of per capita consumption of water expenditure is ranked. The results show that there are obvious differences in per capita consumption expenditure in each region, which can directly reflect the region's comprehensive economic capacity and development level.

KEYWORDS

Fuzzy C-Means, Clustering, Factors, Per Capita Consumption Level