@article {1393102,
	title = {Co-benefits of carbon and pollution control policies on air quality and health till 2030 in China},
	journal = {Environment International},
	volume = {152},
	year = {2021},
	abstract = {Facing the dual challenges of climate change and air pollution, China has made great efforts to explore the co-control strategies for the both. We assessed the benefits of carbon and pollution control policies on air quality and human health, with an integrated framework combining an energy-economic model, an air quality model and a concentration{\textendash}response model. With a base year 2015, seven combined scenarios were developed for 2030 based on three energy scenarios and three end-of-pipe control ones. Policy-specific benefits were then evaluated, indicated by the reduced emissions, surface concentrations of major pollutants, and premature deaths between scenarios. Compared to the 2030 baseline scenario, the nationwide PM2.5- and O3-related mortality was expected to decline 23\% or 289 (95\% confidence interval: 220{\textendash}360) thousand in the most stringent scenario, and three quarters of the avoided deaths were attributed to the end-of-pipe control measures.\&nbsp;<a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/iodoacetic-acid" title="Learn more about Provinces from ScienceDirect{\textquoteright}s AI-generated Topic Pages">Provinces</a>\&nbsp;in heavily polluted and densely populated regions would benefit more from carbon and pollution control strategies. The population fractions with PM2.5\&nbsp;exposure under the national air quality standard (35\&nbsp;μg/m3) and WHO guideline (10\&nbsp;μg/m3) would be doubled from 2015 to 2030 (the most stringent scenario), while still very few people would live in areas with the WHO guideline achieved for O3\&nbsp;(100\&nbsp;μg/m3). Increased health impact of O3\&nbsp;suggested a great significance of joint control of PM2.5\&nbsp;and O3\&nbsp;in future policy-making.},
	url = {https://www.sciencedirect.com/science/article/pii/S0160412021001070},
	author = {Yang, Jinzhao and Zhao, Yu and Cao, Jing and Nielsen, Chris P.}
}
