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中国燃煤电厂减排的地点特定协同效益。

Location-specific co-benefits of carbon emissions reduction from coal-fired power plants in China.

机构信息

Institutes of Science and Development, Chinese Academy of Sciences, No.15 Zhongguancun Beiyitiao Alley, Haidian District, Beijing, 100190, China.

School of Public Policy and Management, University of Chinese Academy of Sciences, 19A Yuquan Rd, Shijingshan District, Beijing, 100049, China.

出版信息

Nat Commun. 2021 Nov 29;12(1):6948. doi: 10.1038/s41467-021-27252-1.

DOI:10.1038/s41467-021-27252-1
PMID:34845194
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8629986/
Abstract

Climate policies that achieve air quality co-benefits can better align developing countries' national interests with global climate mitigation. Since the effects of air pollutants are highly dependent on source locations, spatially nuanced policies are crucial to maximizing the achievement of co-benefits. Using the coal power industry as a case study, this study presents an interdisciplinary approach to assessing facility level co-benefits at every specific source location in China. We find that co-benefits range from US$51-$278 per ton CO reduction nationwide and are highly heterogeneous spatially, with "hotspot" regions that should be the priority of emissions reduction policies, and that provinces should use different techno-economic strategies to reduce emissions. The location-specific co-benefit value plus a carbon price serves as a unified environmental indicator that enables policy makers to more accurately understand the social costs of electricity generation from coal burning and provides a scientific framework for geographically nuanced policymaking.

摘要

实现空气质量共同效益的气候政策可以更好地使发展中国家的国家利益与全球气候缓解目标保持一致。由于空气污染物的影响高度依赖于污染源的位置,因此细致的空间政策对于最大限度地实现共同效益至关重要。本研究以煤炭发电产业为例,提出了一种跨学科方法来评估中国每个特定污染源地点的设施层面的共同效益。我们发现,全国范围内每吨 CO2 减排的共同效益范围为 51-278 美元,并且在空间上具有高度异质性,存在“热点”区域,这些区域应该成为减排政策的优先重点,而且各省应该使用不同的技术经济策略来减排。具体地点的共同效益值加上碳价可以作为一个统一的环境指标,使政策制定者能够更准确地了解燃煤发电的社会成本,并为细致的地理政策制定提供科学框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e48/8629986/1fb971f0aed6/41467_2021_27252_Fig7_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e48/8629986/40e4afc9b685/41467_2021_27252_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e48/8629986/f1809f167e6e/41467_2021_27252_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e48/8629986/3e38354238c3/41467_2021_27252_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e48/8629986/1fb971f0aed6/41467_2021_27252_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e48/8629986/d54d7f20c73b/41467_2021_27252_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e48/8629986/b0bb1b405290/41467_2021_27252_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e48/8629986/4749127db0fe/41467_2021_27252_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e48/8629986/40e4afc9b685/41467_2021_27252_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e48/8629986/f1809f167e6e/41467_2021_27252_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e48/8629986/3e38354238c3/41467_2021_27252_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e48/8629986/1fb971f0aed6/41467_2021_27252_Fig7_HTML.jpg

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