基于结构方程模型的社会生活质量影响因素分析

Analysis on the Quality of Life Based on Structural Equation Modeling

本文利用首都经济贸易大学社会生活指数调查数据,借助社会生活质量的8个维度:幸福感、和谐程度、社会诚信度、公共服务满意度、安全感、廉政满意度、生活环境满意度及资源节约满意度,提炼出三个潜在变量进行结构方程模型建模,分析不同潜在变量间的相互影响关系以及每个测量指标的载荷量大小,量化地分析每一个维度的影响程度高低。主要结论如下:在衡量社会生活质量的指标维度中,物质条件满意度对潜在变量个人幸福感影响最大,全社会诚信满意度对潜在变量社会现状评价影响最大,城市河流净化程度对潜在变量自然环境评价影响最大,三个潜在变量之间存在一定的内在关联性,应当厘清三者之间的影响路径联系,可以更加有效地为提升北京市城镇居民社会生活质量提供新的思路。

Based on the survey data of social life index conducted by the Capital University of Economics and Business in 2016,this paper divides the social index system into eight dimensions:happiness,harmony,social honesty,public service satisfaction,security,satisfaction with clean government,satisfaction with living environment and satisfaction with resource conservation.At the same time,we explore each of these eight issues in combination with the objective background factors of the individual(such as gender,age,education,income,occupation,etc.)and find some valuable information from the basic descriptive statistics.Based on the basic theoretical knowledge,the potential variables of structural equation and the structural equation model are to be modeled.The relationship between different potential variables andthe load of factors of each measure are analyzed rigorously,and each dimension is quantitatively analyzed the level of influence.On the basis of d modeling analysis,the following conclusions are drawn.Firstly,satisfaction of material conditions has the greatest impact on potential happiness of personal happiness in the indicator dimension of social quality of life adopted in this paper,The degree of satisfaction of the whole society has the greatest impact on the social status of latent variables.The degree of urban river purification has the greatest impact on the latent environmental assessment of natural environment.Secondly,for residents with different objective backgrounds,there is a statistically significant degree of satisfaction with relevant evaluation indicators the third and the third latent variables are related to each other.