School of Statistics, Beijing Normal University, Beijing 100875, China.
School of Statistics, Beijing Normal University, Beijing 100875, China; Institute for Global Health and Development, Peking University, Beijing 100871, China.
Econ Hum Biol. 2024 Apr;53:101380. doi: 10.1016/j.ehb.2024.101380. Epub 2024 Mar 24.
This paper investigates the causal impact of fetal exposure to PM2.5 on birth outcomes, including birth weight, the incidence of low birth weight (LBW), and small for gestational age (SGA), based on a nationally representative birth record dataset in a developing country setting. We employed thermal inversion as the instrument variable (IV) for PM2.5 and leveraged the distinctive characteristics of rural China in the 1990 s to address identification challenges. Our IV estimates indicate that higher fetal PM2.5 exposure leads to lower birth weight and elevated probabilities of LBW and SGA. Due to the mortality selection in utero, weak male fetuses were more likely to be screened out by PM2.5 exposure, resulting in a comparatively lower vulnerability among the surviving male infants. Furthermore, infants born to less educated mothers exhibited increased susceptibility, a phenomenon not entirely explained by the sorting behaviors associated with the preference for cleaner air based on socioeconomic status.
本文基于发展中国家全国性的生育记录数据集,考察了胎儿期暴露于细颗粒物(PM2.5)对出生结果(包括出生体重、低出生体重(LBW)发生率和小于胎龄儿(SGA))的因果影响。我们采用大气逆温作为 PM2.5 的工具变量(IV),并利用 20 世纪 90 年代中国农村的独特特征来解决识别挑战。我们的 IV 估计表明,胎儿期 PM2.5 暴露程度越高,出生体重越低,LBW 和 SGA 的发生概率越高。由于宫内死亡的选择性,PM2.5 暴露使较弱的男性胎儿更有可能被筛选出来,导致幸存的男婴相对脆弱性较低。此外,受教育程度较低的母亲所生的婴儿更容易受到影响,这种现象不能完全用与基于社会经济地位的对清洁空气偏好相关的排序行为来解释。