Cargando…
Economic evaluation of the air pollution effect on public health in China’s 74 cities
Air deterioration caused by pollution has harmed public health. The existing studies on the economic loss caused by a variety of air pollutants in multiple cities are lacking. To understand the effect of different pollutants on public health and to provide the basis of the environmental governance f...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4816944/ https://www.ncbi.nlm.nih.gov/pubmed/27047728 http://dx.doi.org/10.1186/s40064-016-2024-9 |
_version_ | 1782424807962312704 |
---|---|
author | Li, Li Lei, Yalin Pan, Dongyan Yu, Chen Si, Chunyan |
author_facet | Li, Li Lei, Yalin Pan, Dongyan Yu, Chen Si, Chunyan |
author_sort | Li, Li |
collection | PubMed |
description | Air deterioration caused by pollution has harmed public health. The existing studies on the economic loss caused by a variety of air pollutants in multiple cities are lacking. To understand the effect of different pollutants on public health and to provide the basis of the environmental governance for governments, based on the dose–response relation and the willingness to pay, this paper used the latest available data of the inhalable particulate matter (PM(10)) and sulphur dioxide (SO(2)) from January 2015 to June 2015 in 74 cities by establishing the lowest and the highest limit scenarios. The results show that (1) in the lowest and highest limit scenario, the health-related economic loss caused by PM(10) and SO(2) represented 1.63 and 2.32 % of the GDP, respectively; (2) For a single city, in the lowest and the highest limit scenarios, the highest economic loss of the public health effect caused by PM(10) and SO(2) was observed in Chongqing; the highest economic loss of the public health effect per capita occurred in Hebei Baoding. The highest proportion of the health-related economic loss accounting for GDP was found in Hebei Xingtai. The main reason is that the terrain conditions are not conducive to the spread of air pollutants in Chongqing, Baoding and Xingtai, and the three cities are typical heavy industrial cities that are based on coal resources. Therefore, this paper proposes to improve the energy structure, use the advanced production process, reasonably control the urban population growth, and adopt the emissions trading system in order to reduce the economic loss caused by the effects of air pollution on public health. |
format | Online Article Text |
id | pubmed-4816944 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-48169442016-04-04 Economic evaluation of the air pollution effect on public health in China’s 74 cities Li, Li Lei, Yalin Pan, Dongyan Yu, Chen Si, Chunyan Springerplus Research Air deterioration caused by pollution has harmed public health. The existing studies on the economic loss caused by a variety of air pollutants in multiple cities are lacking. To understand the effect of different pollutants on public health and to provide the basis of the environmental governance for governments, based on the dose–response relation and the willingness to pay, this paper used the latest available data of the inhalable particulate matter (PM(10)) and sulphur dioxide (SO(2)) from January 2015 to June 2015 in 74 cities by establishing the lowest and the highest limit scenarios. The results show that (1) in the lowest and highest limit scenario, the health-related economic loss caused by PM(10) and SO(2) represented 1.63 and 2.32 % of the GDP, respectively; (2) For a single city, in the lowest and the highest limit scenarios, the highest economic loss of the public health effect caused by PM(10) and SO(2) was observed in Chongqing; the highest economic loss of the public health effect per capita occurred in Hebei Baoding. The highest proportion of the health-related economic loss accounting for GDP was found in Hebei Xingtai. The main reason is that the terrain conditions are not conducive to the spread of air pollutants in Chongqing, Baoding and Xingtai, and the three cities are typical heavy industrial cities that are based on coal resources. Therefore, this paper proposes to improve the energy structure, use the advanced production process, reasonably control the urban population growth, and adopt the emissions trading system in order to reduce the economic loss caused by the effects of air pollution on public health. Springer International Publishing 2016-04-01 /pmc/articles/PMC4816944/ /pubmed/27047728 http://dx.doi.org/10.1186/s40064-016-2024-9 Text en © Li et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Li, Li Lei, Yalin Pan, Dongyan Yu, Chen Si, Chunyan Economic evaluation of the air pollution effect on public health in China’s 74 cities |
title | Economic evaluation of the air pollution effect on public health in China’s 74 cities |
title_full | Economic evaluation of the air pollution effect on public health in China’s 74 cities |
title_fullStr | Economic evaluation of the air pollution effect on public health in China’s 74 cities |
title_full_unstemmed | Economic evaluation of the air pollution effect on public health in China’s 74 cities |
title_short | Economic evaluation of the air pollution effect on public health in China’s 74 cities |
title_sort | economic evaluation of the air pollution effect on public health in china’s 74 cities |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4816944/ https://www.ncbi.nlm.nih.gov/pubmed/27047728 http://dx.doi.org/10.1186/s40064-016-2024-9 |
work_keys_str_mv | AT lili economicevaluationoftheairpollutioneffectonpublichealthinchinas74cities AT leiyalin economicevaluationoftheairpollutioneffectonpublichealthinchinas74cities AT pandongyan economicevaluationoftheairpollutioneffectonpublichealthinchinas74cities AT yuchen economicevaluationoftheairpollutioneffectonpublichealthinchinas74cities AT sichunyan economicevaluationoftheairpollutioneffectonpublichealthinchinas74cities |