<p>Research on subjective well-being (SWB) in urban China has often overlooked its spatiotemporal evolution and the changing roles of economic indicators over time. Using data from Chinese General Social Survey (CGSS) and provincial-level statistics, we employed exploratory spatial data analysis and Logit regression model to investigate the geographic patterns and economic influencing factors of residents’ SWB in urban China from 2005 to 2015. Findings revealed: (1) a significant upward trend in SWB with increasing spatial clustering, indicating growing regional disparities; (2) shifting impacts of macroeconomic indicators—regional marketization exerted an intensifying negative impact, urban-rural income disparity followed a fluctuating pattern (strong → weak → strong), and the negative influence of consumption structure (Engel’s coefficient) diminished over time; (3) individual income and perceived family socioeconomic status positively predicted SWB, with the latter mediating the effect of income. By integrating individual and regional-level indicators, this study advances the measurement and interpretation of SWB as a multidimensional quality-of-life outcome. It offers empirical insights into how evolving economic conditions shape well-being in a rapidly transforming society, contributing to both methodological development and policy-relevant understanding of urban quality of life.</p>

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The Shifting Geography of Urban Well-Being in China (2005–2015): A Spatial-Temporal Analysis of Economic Drivers

  • Li He,
  • Yuhang Shui,
  • Yujing Ji,
  • Conghui Liu,
  • Min Chen

摘要

Research on subjective well-being (SWB) in urban China has often overlooked its spatiotemporal evolution and the changing roles of economic indicators over time. Using data from Chinese General Social Survey (CGSS) and provincial-level statistics, we employed exploratory spatial data analysis and Logit regression model to investigate the geographic patterns and economic influencing factors of residents’ SWB in urban China from 2005 to 2015. Findings revealed: (1) a significant upward trend in SWB with increasing spatial clustering, indicating growing regional disparities; (2) shifting impacts of macroeconomic indicators—regional marketization exerted an intensifying negative impact, urban-rural income disparity followed a fluctuating pattern (strong → weak → strong), and the negative influence of consumption structure (Engel’s coefficient) diminished over time; (3) individual income and perceived family socioeconomic status positively predicted SWB, with the latter mediating the effect of income. By integrating individual and regional-level indicators, this study advances the measurement and interpretation of SWB as a multidimensional quality-of-life outcome. It offers empirical insights into how evolving economic conditions shape well-being in a rapidly transforming society, contributing to both methodological development and policy-relevant understanding of urban quality of life.