Inequalities in PM_2.5 and SO₂ Exposure Health Risks in Terms of Emissions in China, 2013–2017

Abstract

Exploring the health risks of diseases attributed to PM2.5 and SO2 exposure and analyzing the differences in their distribution over emissions can provide useful insights for decision-makers to reduce premature mortality due to PM2.5 and SO2 exposure. This study used exposure-response functions, health risk inequality curve (HRICU, based on Lorenz curve), and the health risk inequality coefficient (HRICO, based on Gini coefficient) to estimate population health risks of PM2.5 and SO2 exposure in China from 2013 to 2017 based on a full-coverage, high-precision PM2.5 and SO2 concentration and emission dataset. The inequality in the distribution of premature mortality was explored in terms of pollutant emissions. The results showed that (1) premature mortalities from cardiovascular disease (CVD) and respiratory disease (RD) due to PM2.5 and SO2 exposure decreased by 21% and 54%, respectively, from 2013 to 2017. (2) At a national scale, the HRICO value for the distribution of PM2.5 and SO2 health risks on emissions were lower than 0.10 and 0.20, respectively. (3) More than 20% of provinces had HRICO values above 0.1 for PM2.5 or SO2. The provinces near the national borders generally had higher HRICO for PM2.5, while the province with the most severe inequity in the distribution of SO2 health risks on emissions appeared in Xinjiang Uygur Autonomous Region, Ningxia Hui Autonomous Region, and Hainan Province.

Keywords

• health risk inequalities
• China
• Gini coefficient