期刊
SCIENCE OF THE TOTAL ENVIRONMENT
卷 732, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.scitotenv.2020.138973
关键词
PM2.5 pollution; Health effects; Economic loss; Coal consumption; Poisson regression model
资金
- National Natural Science Foundation of China [71803182, 71773118]
- Beijing Social Science Foundation [19YJC023]
- Open Fund of State Key Laboratory ofWater Resource Protection and Utilization in Coal Mining [SHJT-17-42.20]
China's energy structure is based on coal resource and it accounts for main proportion in the primary energy consumption. Coal consumption produces PM2.5 pollution, which seriously affects public health. Considering that there are few studies on the effect PM2.5 pollution produced by coal consumption, this paper uses the Poisson Regression model to estimate the impacts on public health and the economic loss of PM2.5 pollution produced by coal consumption using the data in 2015. Based on these results, the paper also predicts the impacts on public health effect and its economic loss caused by PM2.5 pollution from coal consumption under the baseline scenario and total coal consumption control scenario in 2020 and 2030. Finally, based on the research conclusions, suggestions are proposed to reduce the public health economic loss from PM2.5 pollution caused by coal consumption.
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