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Educational inequality and urban-rural disparities in subjective well-being in China

  • Haiyang Lu
  • , Weiliang Hu
  • , Rong Zhu
  • , Keyang Zeng

Research output: Contribution to journalArticlepeer-review

Abstract

This study employs unconditional quantile regression (UQR) and decomposition techniques to explore how education affects urban-rural disparities in subjective well-being (SWB) across the welfare distribution. Using nationally representative data from the 2013–2021 Chinese Social Survey, we find that while education significantly improves SWB for both urban and rural residents, this positive effect shows an overall weakening trend with higher levels of well-being. The UQR decomposition reveals significant urban-rural SWB disparities across the entire distribution. These gaps are primarily driven by observable characteristic differences, among which education, particularly higher education disparities, makes the largest contribution, accounting for at least half of the total gap. Notably, we also find significant differences in the explanatory power of education across different quartiles, with considerably stronger effects for middle and lower quantile groups than for higher ones. Our findings suggest that educational equality provided a possible way to mitigate both urban-rural and within-group welfare disparities. Policy interventions should ensure improved access to education for vulnerable rural populations and also prioritize their access to quality educational resources.
Original languageEnglish
Article number103411
Number of pages11
JournalInternational Journal of Educational Development
Volume118
DOIs
Publication statusPublished - Oct 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education
  2. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Keywords

  • Educational inequality
  • Subjective well-being
  • Unconditional quantile regression
  • decomposition
  • China

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