Modeling China's Well-Being through Multivariate Analysis of CGSS Data (2010-2021)

This study examines the dynamics of national well-being in China from 2010 to 2021, leveraging multivariate analysis, including Ordered Logistic Regression (Ologit) and Ordinary Least Squares (OLS) models, of longitudinal data from the China General Social Survey (CGSS). By applying multiple imputation via chained equations (MICE), missing data are addressed, ensuring robust statistical inferences. Results indicate that, contrary to trends in developed countries like the U.S. and Germany, China's national well-being has improved during the decade studied. Specifically, higher perceptions of social equity, better physical and mental health, stable family conditions, and enhanced environmental protection efforts significantly contribute to increased well-being. These findings provide valuable insights for policymakers aiming to improve societal welfare through targeted interventions in health, environmental policy, and social equity.