Diversification of residents’ consumption structure based on ELES model

IF 0.5 Q4 ENGINEERING, MULTIDISCIPLINARY
Peichun Feng
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引用次数: 0

Abstract

Based on the data of urban residents’ consumption in Jiangsu Province, this paper looks for the Statistical Yearbook of Jiangsu Province from Jiangsu Statistics Bureau, collects the required data of residents’ consumption structure, and defines the components of residents’ consumption structure in Jiangsu Province from eight aspects: clothing, food, housing, transportation and communication, medical care, culture, education, entertainment and other miscellaneous commodities. First, make a systematic theoretical explanation of these eight factors, so as to help us better understand how these eight factors are pieced together into a whole of residents’ consumption structure. Then it analyzes the present situation of consumption structure. Secondly, based on the relevant theories of residents’ consumption structure, in order to know the changes of the components of residents’ consumption structure in Jiangsu Province over the years, this paper analyzes the relevant data of the collected structural factors by using factor analysis and ELES model, based on the data from 2009 to 2018. In the last part, according to the previous analysis results, the characteristics of urban residents’ consumption structure in Jiangsu Province are summarized, and some suggestions and opinions are given. Finally, the future consumption structure is predicted according to the historical data, and some suggestions are given.
基于 ELES 模型的居民消费结构多样化
本文以江苏省城镇居民消费数据为基础,查找江苏省统计局的《江苏省统计年鉴》,收集所需的居民消费结构数据,从衣、食、住、行、医、文、教、娱、杂八个方面界定江苏省居民消费结构的构成要素。首先,对这八大因素进行系统的理论阐释,帮助我们更好地理解这八大因素是如何拼凑成居民消费结构的整体。然后分析消费结构的现状。其次,基于居民消费结构的相关理论,为了了解江苏省居民消费结构各构成要素在历年的变化情况,本文以2009年至2018年的数据为基础,运用因子分析法和ELES模型,对收集到的结构因素的相关数据进行了分析。最后一部分,根据前面的分析结果,总结了江苏省城镇居民消费结构的特点,并给出了一些建议和意见。最后,根据历史数据对未来消费结构进行预测,并给出一些建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
152
期刊介绍: The major goal of the Journal of Computational Methods in Sciences and Engineering (JCMSE) is the publication of new research results on computational methods in sciences and engineering. Common experience had taught us that computational methods originally developed in a given basic science, e.g. physics, can be of paramount importance to other neighboring sciences, e.g. chemistry, as well as to engineering or technology and, in turn, to society as a whole. This undoubtedly beneficial practice of interdisciplinary interactions will be continuously and systematically encouraged by the JCMSE.
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