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Research on the spatial effects of haze pollution on public health: spatial–temporal evidence from the Yangtze River Delta urban agglomerations, China
Haze pollution poses a serious threat to residents’ health. In this study, a spatial econometric model of environmental health was established to investigate the direction, intensity, and spatial–temporal heterogeneity of the impact of haze pollution and its spillover effects on public health in 26...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8824732/ https://www.ncbi.nlm.nih.gov/pubmed/35133587 http://dx.doi.org/10.1007/s11356-022-19017-0 |
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author | Sun, Han Yang, Xiaohui Leng, Zhihui |
author_facet | Sun, Han Yang, Xiaohui Leng, Zhihui |
author_sort | Sun, Han |
collection | PubMed |
description | Haze pollution poses a serious threat to residents’ health. In this study, a spatial econometric model of environmental health was established to investigate the direction, intensity, and spatial–temporal heterogeneity of the impact of haze pollution and its spillover effects on public health in 26 cities of the Yangtze River Delta urban agglomerations from 2005 to 2018. The study found that (1) PM(2.5) pollution and public health level all show the characteristic of positive spatial correlation and spatial clustering. (2) Haze pollution is the main influencing factor of residents’ public health level, with significant negative effects and obvious spillover effects. The urbanization rate, the number of health technicians, and the green area per capita have significant positive impacts on public health. (3) The spatial and temporal heterogeneity of the impact of haze pollution and other factors on public health is obvious. The negative correlation between PM(2.5) pollution and public health in eastern cities is higher than that in other cities. Both urbanization rate and green area per capita have a greater positive impact on public health in the northeast of the Yangtze River Delta region. The improvement effect of the number of health technicians on the public health is stronger in the cities of Anhui Province. The research results of this paper provide certain support for the city governments to formulate targeted policies. |
format | Online Article Text |
id | pubmed-8824732 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-88247322022-02-09 Research on the spatial effects of haze pollution on public health: spatial–temporal evidence from the Yangtze River Delta urban agglomerations, China Sun, Han Yang, Xiaohui Leng, Zhihui Environ Sci Pollut Res Int Research Article Haze pollution poses a serious threat to residents’ health. In this study, a spatial econometric model of environmental health was established to investigate the direction, intensity, and spatial–temporal heterogeneity of the impact of haze pollution and its spillover effects on public health in 26 cities of the Yangtze River Delta urban agglomerations from 2005 to 2018. The study found that (1) PM(2.5) pollution and public health level all show the characteristic of positive spatial correlation and spatial clustering. (2) Haze pollution is the main influencing factor of residents’ public health level, with significant negative effects and obvious spillover effects. The urbanization rate, the number of health technicians, and the green area per capita have significant positive impacts on public health. (3) The spatial and temporal heterogeneity of the impact of haze pollution and other factors on public health is obvious. The negative correlation between PM(2.5) pollution and public health in eastern cities is higher than that in other cities. Both urbanization rate and green area per capita have a greater positive impact on public health in the northeast of the Yangtze River Delta region. The improvement effect of the number of health technicians on the public health is stronger in the cities of Anhui Province. The research results of this paper provide certain support for the city governments to formulate targeted policies. Springer Berlin Heidelberg 2022-02-08 2022 /pmc/articles/PMC8824732/ /pubmed/35133587 http://dx.doi.org/10.1007/s11356-022-19017-0 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Research Article Sun, Han Yang, Xiaohui Leng, Zhihui Research on the spatial effects of haze pollution on public health: spatial–temporal evidence from the Yangtze River Delta urban agglomerations, China |
title | Research on the spatial effects of haze pollution on public health: spatial–temporal evidence from the Yangtze River Delta urban agglomerations, China |
title_full | Research on the spatial effects of haze pollution on public health: spatial–temporal evidence from the Yangtze River Delta urban agglomerations, China |
title_fullStr | Research on the spatial effects of haze pollution on public health: spatial–temporal evidence from the Yangtze River Delta urban agglomerations, China |
title_full_unstemmed | Research on the spatial effects of haze pollution on public health: spatial–temporal evidence from the Yangtze River Delta urban agglomerations, China |
title_short | Research on the spatial effects of haze pollution on public health: spatial–temporal evidence from the Yangtze River Delta urban agglomerations, China |
title_sort | research on the spatial effects of haze pollution on public health: spatial–temporal evidence from the yangtze river delta urban agglomerations, china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8824732/ https://www.ncbi.nlm.nih.gov/pubmed/35133587 http://dx.doi.org/10.1007/s11356-022-19017-0 |
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