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清洁取暖政策对健康效益和成本节约有显著贡献:中国北京的案例研究

Cleaner heating policies contribute significantly to health benefits and cost-savings: A case study in Beijing, China.

作者信息

Weng Zhixiong, Dong Zhaomin, Zhao Yi, Xu Meng, Xie Yang, Lu Feng

机构信息

Institute of Circular Economy, Beijing University of Technology, Beijing 100124, China.

School of Materials Science and Engineering, Beihang University, Beijing 100191, China.

出版信息

iScience. 2024 Jun 11;27(7):110249. doi: 10.1016/j.isci.2024.110249. eCollection 2024 Jul 19.

DOI:10.1016/j.isci.2024.110249
PMID:39027367
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11254592/
Abstract

Cleaner heating policies aim to reduce air pollution and may bring about health benefits to individuals. Based on a fixed-effect model focusing on Beijing, this study found that after the onset of air pollution, daily clinic visits, hospitalization days, and hospitalization expenses increased several days after the occurrence of air pollution. These hospitalization changes were observed in males and females and three different age groups. A difference-in-differences (DID) model was constructed to identify the influences of cleaner heating policies on health consequences. The study revealed that the policy positively affects health outcomes, with an average decrease of 3.28 thousand clinic visits for all diseases. The total hospitalization days and expenses tend to decrease by 0.22 thousand days and 0.34 million CNY (Chinese Yuan), respectively. Furthermore, implementing the policy significantly reduced the number of daily clinic visits for respiratory diseases, asthma, stroke, diabetes, and chronic obstructive pulmonary diseases (COPDs).

摘要

清洁取暖政策旨在减少空气污染,并可能给个人带来健康益处。基于聚焦北京的固定效应模型,本研究发现,空气污染发生后,空气污染出现数天后的每日门诊就诊量、住院天数和住院费用均有所增加。这些住院变化在男性和女性以及三个不同年龄组中均有观察到。构建了一个双重差分(DID)模型来确定清洁取暖政策对健康后果的影响。研究表明,该政策对健康结果有积极影响,所有疾病的门诊就诊量平均减少3280次。总住院天数和费用分别趋于减少220天和34万元人民币。此外,实施该政策显著减少了呼吸系统疾病、哮喘、中风、糖尿病和慢性阻塞性肺疾病(COPD)的每日门诊就诊量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3b6/11254592/2e59af8fa740/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3b6/11254592/ddc580e3f1b8/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3b6/11254592/6c8085c45678/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3b6/11254592/1a6bac5e4315/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3b6/11254592/088cf2baab6b/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3b6/11254592/2e59af8fa740/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3b6/11254592/ddc580e3f1b8/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3b6/11254592/6c8085c45678/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3b6/11254592/1a6bac5e4315/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3b6/11254592/088cf2baab6b/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3b6/11254592/2e59af8fa740/gr4.jpg

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本文引用的文献

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Nat Commun. 2023 Sep 29;14(1):6101. doi: 10.1038/s41467-023-41707-7.
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Tracing the sources of PM-related health burden in China.追溯中国与 PM 相关的健康负担的来源。
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Improved air quality from China's clean air actions alleviates health expenditure inequality.中国的清洁空气行动改善了空气质量,减轻了医疗支出不平等问题。
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Attribution of Air Quality Benefits to Clean Winter Heating Policies in China: Combining Machine Learning with Causal Inference.归因于中国清洁冬季供暖政策的空气质量效益:机器学习与因果推理相结合。
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