Air pollution and children’s health inequalities
利用法国行政数据，研究早期空气污染暴露对不同收入家庭儿童医疗使用的影响，发现健康冲击主要集中于出生健康指标差且父母收入低的10%婴儿，提示基于脆弱性而非仅暴露水平的政策更有效。
This paper examines the differential impacts of early childhood exposure to air pollution on children’s health care use across parental income groups and vulnerability factors using French administrative data. Our quasi-experimental study reveals significant impacts on emergency admissions and respiratory medication in young children, attributed to air pollution shocks. Using causal machine learning, we identify these health impacts as predominantly affecting 10% of infants, characterized by poor health indicators at birth and lower parental income. Our results indicate that targeted policies based on vulnerability metrics may be more effective than those based solely on exposure levels.