| Since the launch of the reform and opening up policy,China’s economy has experienced rapid development,and the marketization of the economy and society has been deepening.At the same time,China’s changing social structure causes a certain differentiation of social classes.Citizens’ perceived social justice refers to citizens’ intuitive feelings about the situation of social controversy,and the level of Chinese residents’ perceived social justice has always been highly valued by the Party and the government.Ensuring citizens’ perceived social justice is crucial to maintaining social order and promoting healthy social development and progress,so the study of perceived social justice of Chinese residents is necessary and of practical significance.The empirical study of the influencing factors of perceived social justice mainly aims to solve two problems: screening the important factors affecting the sense of social equity; interpret the factors and influencing mechanisms,and find effective ways to enhance it.In previous empirical studies,researchers first determined the independent variables and control variables based on the theoretical basis,put forward hypotheses,verified them by methods such as multiple linear regression,and judged whether the hypotheses were true through the significance of the parameters and reached conclusions.Under this research framework,the selection of factors is limited,and the multiple linear regression method is prone to collinearity problems when more variables are included.Therefore,this paper uses the causal diagram model based on Bayesian network to study the influencing factors and mechanisms of perceived social justice,and give the interpretation of causal perspective,taking as many variables as possible into account while avoiding collinearity.Based on CSS2021 data,this paper screens and constructs variables from four parts: basic information,objective living standards,subjective living standards,and values,and three levels: individual,family and society,and takes a total of 81 variables into account.Three Bayesian network models of PC-Stable,Tabu Search-based LTB algorithm and MMHC algorithm were compared,and the LTB algorithm with the best comprehensive performance was selected for modeling.On this basis,a total of31 parents and grandparents of perceived social justice are screened out through the model,and 50 pairs of variables with causal relationships are presented.The influence mechanism of perceived social justice is analyzed from five perspectives: personal information,economic level,quality of life,social perception and lifestyle.Finally,based on the conclusion analysis,the suggestion to improve the perceived social justice are proposed from four perspectives: basic policy,economic and distribution policy,social security policy,and publicity. |
