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Background : Particulate air pollution, especially PM 2.5 , is highly correlated with various adverse health impacts and, ultimately, economic losses for society, however, few studies have undertaken a spatiotemporal assessment of PM 2.5 -related economic losses from health impacts covering all of the main cities in China. Methods : PM 2.5 concentration data were retrieved for 190 Chinese cities for the period 2014⁻2016. We used a log-linear exposure⁻response model and monetary valuation methods, such as value of a statistical life (VSL), amended human capital (AHC), and cost of illness to evaluate PM 2.5 -related economic losses from health impacts at the city level. In addition, Monte Carlo simulation was used to analyze uncertainty. Results : The average economic loss was 0.3% (AHC) to 1% (VSL) of the total gross domestic product (GDP) of 190 Chinese cities from 2014 to 2016. Overall, China experienced a downward trend in total economic losses over the three-year period, but the Beijing⁻Tianjin⁻Hebei, Shandong Peninsula, Yangtze River Delta, and Chengdu-Chongqing regions experienced greater annual economic losses. Conclusions : Exploration of spatiotemporal variations in PM 2.5 -related economic losses from long-term health impacts could provide new information for policymakers regarding priority areas for PM 2.5 pollution prevention and control in China.

Spatiotemporal Assessment of PM2.5-Related Economic Losses from Health Impacts during 2014–2016 in China