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| Content Provider | frontiers |
|---|---|
| Author | Guo, Jinyuan Li, Fei Qu, Zhiguang Wang, Xiaoying Yan, Jingjing Zhou, Yuanyuan Kong, Shaojie |
| Abstract | The global exposure to air pollution is still estimated to cause annual millions of deaths and the loss of healthy years of life[1]. PM2.5 pollution has become a challenge worldwide, especially in developing countries such as China. PM2.5 exposure can affect the mortality rate of residents and outpatient and hospitalization rate for specific diseases, but even increase cancer risk and death burden[2-3]. In addition, PM2.5 pollution also can cause economic loss by increasing health expenditure. So, it is of significance to evaluate urban PM2.5-related health economic loss across China for environmentally sustainable and equitable development decision-making.Scholars have conducted studies on PM2.5-related health economic loss in China on different spatial scales. The average PM2.5-related economic loss was 0.3% (AHC) to 1% (VSL) of the total gross domestic product (GDP) of 190 Chinese cities from 2014 to 2016[4]. In the Beijing-Tianjin-Hebei region (BTH) of China, PM2.5 economic loss was 6081 million US$ in 2017[5]. Most previous objects of studies mainly targeted at limited and individual areas or city, such as 190 major cities in China[4], BTH region[5], and Shanghai[6]. However, due to the spatial spillover effect of PM2.5 and regional joint management requirements, it is of importance to systematically analyze urban PM2.5-related health economic loss from national-regional perspective.Due to regional differences in economic, social and environmental, the driving factors... |
| ISSN | 2296665X |
| DOI | 10.3389/fenvs.2022.951505 |
| Volume Number | 10 |
| Journal | Frontiers in Environmental Science |
| Language | English |
| Publisher Date | 2022-09-14 |
| Access Restriction | Open |
| Subject Keyword | Spatio-temporal variation China GWR PM2.5 Health economic loss |
| Content Type | Text |
| Resource Type | Article |
| Subject | Environmental Science |
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