Effect of PM2.5 pollution on perinatal mortality in China
Guangqin Li, Lingyu Li, Dan Liu, Jiahong Qin, Hongjun Zhu
Abstract
Abstract Using ArcGIS to analyze satellite derived PM 2.5 estimates, this paper obtains the average concentration and maximum concentration of fine particulate matter (PM 2.5 ) in China's 31 provinces from 2002 to 2015. We adopt fixed effects model and spatial Durbin model to investigate the association between PM 2.5 and perinatal mortality rates. The results indicate that PM 2.5 has a significantly positive association with perinatal mortality rates. A 1% increase of log-transformed average concentration and maximum concentrations of PM 2.5 is associated with 1.76‰ and 2.31‰ increase of perinatal mortality rates, respectively. In spatial econometrics analysis, we find PM 2.5 has significant spatial autocorrelation characteristics. The concentrations of log-transformed average and maximum PM 2.5 increase 1% is associated with a 2.49% increase in a 2.49‰ and 2.19‰ increase of perinatal mortality rates, respectively. The potential mechanism is that air pollution has an impact on infant weight to impact perinatal mortality rates.