Spatially explicit analysis of production and consumption responsibility for the PM 2.5 -related health burden towards beautiful China.

Autor: Wang Y; School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, China., Ping L; School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, China; Department of Earth System Science, Tsinghua University, Beijing, 100084, China., Zhang H; School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, China; State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation, Chinese Academy of Environmental Planning, Beijing, 100041, China., Lu Y; State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation, Chinese Academy of Environmental Planning, Beijing, 100041, China; The Center of Enterprise Green Governance, Chinese Academy of Environmental Planning, Beijing, 100041, China. Electronic address: luyl@caep.org.cn., Xue W; State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation, Chinese Academy of Environmental Planning, Beijing, 100041, China. Electronic address: xuewb@caep.org.cn., Liang C; School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, China., Shan M; School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, China., Lee LC; School of Environmental Science and Engineering, Hubei Polytechnic University, Huangshi, 435003, China.
Jazyk: angličtina
Zdroj: Journal of environmental management [J Environ Manage] 2024 Sep 17; Vol. 370, pp. 122509. Date of Electronic Publication: 2024 Sep 17.
DOI: 10.1016/j.jenvman.2024.122509
Abstrakt: Promoting good health and ensuring responsible production and consumption are essential components of the Sustainable Development Goals (SDGs) established by of the United Nations, as well as the goals of beautiful China. While the health impacts of air pollution have garnered significant attention, there remains a paucity of studies comparing the disparities in responsibility arising from production versus consumption. This paper integrates the Weather Research and Forecasting - Comprehensive Air Quality Model with Extensions (WRF-CAMx) model, the multiregional input‒output (MRIO) model, and the global exposure mortality model (GEMM) to assess the extent of PM 2.5 -related premature deaths caused by production and consumption activities in 30 Chinese provinces. The findings reveal a spatial mismatch in health burdens between production and consumption. Considering pollutant emissions and their transfer only through the supply chain leads to the finding that the net outflow of emissions from producers is mainly located in most of the northern provinces of China. However, when atmospheric transport and health impacts are included, the producing provinces are mainly located in central China, while the consuming provinces are located in the southeastern coastal and remote western and northern regions. Additionally, the long-range impact of consumption provinces with respect to the health burden is more than twice as large as that of production provinces, and its potential impact on the health burden cannot be ignored. From a sectoral perspective, production emissions from the non-electricity industry and services sectors contribute to 60% of the health burden, while their consumption emissions contribute to over 80% of the health burden. Furthermore, consumption activities in the non-electricity industry and services sectors significantly influence production emissions in the transport, agriculture, and electricity sectors. The geographical separation of consumption and production regions facilitated by trade is a critical yet often overlooked aspect in current regional air quality planning in China. A more comprehensive analysis of life-cycle emissions driven by final consumption could yield greater reductions compared to direct production reductions.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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