Analysis of Chinese Household Consumption Expenditure Structure System Based on Factors and Clustering Algorithms

Abstract

In recent years, with the gradual implementation of the central government’s policy of expanding domestic demand, the living standards of urban residents have been greatly improved. With the increasing level of urban living consumption, residents’ living consumption situation has attracted more attention and attention. In order to further increase the consumption income of households, it is necessary to conduct corresponding analysis on households in various regions. Based on SPSS statistical simulation software, this paper uses factor analysis and clustering methods often used in modern multivariate economic statistical analysis to establish multivariate statistical models and calculate and establish various analysis models suitable for my country’s household consumption expenditure structure (2020) and analyze the parameters, accordingly. From the perspectives of politics, economy, geography, etc., this paper reveals the changes in energy consumption in China’s family and social life and its possible implied related information, laws, directions, and the overall development level of society. Through empirical analysis and research, this paper can finally conclude that the current consumption expenditure structure of Chinese households is affected by a combination of factors such as national policies, economic development and technical conditions, and geographical environment characteristics, and the effect is different in different cities.