A three-step synergy analysis framework for carbon mitigation and pollution reduction in China
文献类型:期刊论文
作者 | Wang, Kewen1,2; Fang, Chuanglin1,2 |
刊名 | JOURNAL OF ENVIRONMENTAL MANAGEMENT
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出版日期 | 2025-06-01 |
卷号 | 386页码:125814 |
关键词 | Carbon mitigation Pollution reduction Synergy analysis Coupling coordination degree Spatial relationship Panel quantile regression |
ISSN号 | 0301-4797 |
DOI | 10.1016/j.jenvman.2025.125814 |
产权排序 | 1 |
文献子类 | Article |
英文摘要 | Promoting the coordinated governance of carbon emissions and air pollutants is of great significance for optimizing man-land relationship. However, how to systematically track the synergistic effect between carbon mitigation (CM) and pollution reduction (PR) still requires strengthening theoretical construction and empirical analysis. This study established a three-step synergy analysis framework consisting of emission synergy, spatial synergy and response synergy, to explore the synergy between CM and PR of China's 284 prefecture-level cities from 2006 to 2022. The results demonstrated that with 95.77 % of cities commonly reducing carbon emission intensity and PM2.5 concentration, the coupling coordination degree between CM and PR increased from 0.4370 to 0.7384, transforming from a transition state to a moderate synergy state. Geographically, the emission synergy in the central region was inferior to that in the eastern and western regions. Although the spatial positive synergy between CM and PR strengthened especially in the southeastern coastal area, many cities in the north exhibited the spatial relationship of negative synergy and trade-off. By and large, agglomeration effect, structure effect, innovation effect and policy effect played a positive role in facilitating the synergy, but their impacts were heterogeneous at different quantiles of synergy level. With the improvement of synergy between CM and PR, it is crucial to increasingly strengthen structure and innovation effects, and appropriately optimize agglomeration and policy effects. These findings can provide novel thinking and pathways for coordinating the relationship between climate change and environmental quality. |
URL标识 | 查看原文 |
WOS关键词 | QUANTILE REGRESSION ; AIR-POLLUTANTS ; ENERGY INTENSITY ; CITIES ; INNOVATION ; EMISSIONS ; PROMOTE ; IMPACT |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:001501969300011 |
出版者 | ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/214634] ![]() |
专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
通讯作者 | Fang, Chuanglin |
作者单位 | 1.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Kewen,Fang, Chuanglin. A three-step synergy analysis framework for carbon mitigation and pollution reduction in China[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2025,386:125814. |
APA | Wang, Kewen,&Fang, Chuanglin.(2025).A three-step synergy analysis framework for carbon mitigation and pollution reduction in China.JOURNAL OF ENVIRONMENTAL MANAGEMENT,386,125814. |
MLA | Wang, Kewen,et al."A three-step synergy analysis framework for carbon mitigation and pollution reduction in China".JOURNAL OF ENVIRONMENTAL MANAGEMENT 386(2025):125814. |
入库方式: OAI收割
来源:地理科学与资源研究所
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