Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated just now
Peer-reviewedCC BYPopulation Health Metrics

From circumstances to efforts: the shifting determinants of health opportunity inequality in China

  1. 1Business School; Key Laboratory for Applied Statistics of Ministry of Education, Northeast Normal University

Abstract

This study applies Roemer’s theory of equality of opportunity to construct an age-group comparative framework grounded in the circumstances–effort dichotomy. Using microdata from the China Family Panel Studies, the analysis employs ordered probit models and counterfactual decomposition techniques to assess health opportunity inequality and its structural components across age groups. The results indicate that approximately 34.92% of national health inequality is attributable to circumstances, highlighting the extent of health inequity. Provincial analysis identifies four archetypal patterns, including the “high equity–low circumstance dependence” and “high circumstance dependence–high inequality” models. Age-group analysis reveals a U-shaped pattern: the contribution of circumstances is 36.02% among young adults, declines to 28.12% among middle-aged adults, and rises to 38.17% among older adults. Childhood health remains consistently associated with adult health across all age groups, with the largest marginal effect observed among middle-aged adults. These findings provide empirical evidence and theoretical support for health equity policies that address both life-stage heterogeneity and regional disparities.

Related

  1. Essential public health service equalization and inequality of opportunity in health among internal migrants in China: a cross-sectional study using the 2017 China Migrants Dynamic Survey
    Jin Wang, Xue Yang, Xinpeng Xu
    BMC Public HealthPeer-reviewedCC BY 4.0Epidemiology & public healthCrossref
  2. A neuropathology career nudged along by circumstances.
    Lawrence A Hansen
    Free neuropathologyPeer-reviewedCC BYFull textNeurologyEurope PMC
  3. Trends, patterns, determinants and socio-economic inequality of high-risk fertility behavior (HRFB) among Bangladeshi women: Evidence from Bangladesh Demographic and Health Surveys
    Raisha Binte Islam, Syed Toukir Ahmed Noor
    PLOS OnePeer-reviewedCC BY 4.0Epidemiology & public healthObstetrics, gynaecology & paediatricsPLOS
  4. Decomposing health inequality by dimensions and determinants in China using EQ-5D-5L: an integrated framework
    Jingxian Wu, Yaping Deng, Jørgen T. Lauridsen +2
    International Journal for Equity in HealthPeer-reviewedCC BYFull text1 citedEpidemiology & public healthDOAJ
  5. Circumstances preceding animal-bite exposures in a tertiary anti-rabies clinic in North India: a retrospective descriptive record review
    Aman Dev Singh, Simmi Oberoi, Shefali Gajebasia +1
    Frontiers in Public HealthPeer-reviewedCC BY 4.0Epidemiology & public healthFrontiersCrossref
BibTeX
@article{feng2026from,
  title = {{From circumstances to efforts: the shifting determinants of health opportunity inequality in China}},
  author = {Xing Feng},
  journal = {Population Health Metrics},
  year = {2026},
  month = jul,
  doi = {10.1186/s12963-026-00504-2},
  url = {https://doi.org/10.1186/s12963-026-00504-2},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - From circumstances to efforts: the shifting determinants of health opportunity inequality in China
AU  - Xing Feng
PY  - 2026
DA  - 2026/07/01
JO  - Population Health Metrics
DO  - 10.1186/s12963-026-00504-2
UR  - https://doi.org/10.1186/s12963-026-00504-2
AB  - This study applies Roemer’s theory of equality of opportunity to construct an age-group comparative framework grounded in the circumstances–effort dichotomy. Using microdata from the China Family Panel Studies, the analysis employs ordered probit models and counterfactual decomposition techniques to assess health opportunity inequality and its structural components across age groups. The results indicate that approximately 34.92% of national health inequality is attributable to circumstances, highlighting the extent of health inequity. Provincial analysis identifies four archetypal patterns, including the “high equity–low circumstance dependence” and “high circumstance dependence–high inequality” models. Age-group analysis reveals a U-shaped pattern: the contribution of circumstances is 36.02% among young adults, declines to 28.12% among middle-aged adults, and rises to 38.17% among older adults. Childhood health remains consistently associated with adult health across all age groups, with the largest marginal effect observed among middle-aged adults. These findings provide empirical evidence and theoretical support for health equity policies that address both life-stage heterogeneity and regional disparities.
SN  - 1478-7954
ER  -