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City-level carbon emissions accounting and differentiation integrated nighttime light and city attributes

文献类型：期刊论文

作者Zhou, Yuan1,2; Chen, Mingxing1,2; Tang, Zhipeng1,2; Zhao, You1,2
刊名RESOURCES CONSERVATION AND RECYCLING
出版日期2022-07-01
卷号182页码:15
关键词Carbon emissions City-level Nighttime light City attributes Carbon emissions intensity Carbon emissions per capita
ISSN号0921-3449
DOI10.1016/j.resconrec.2022.106337
通讯作者Chen, Mingxing(chenmx@igsnrr.ac.cn)
英文摘要The city plays a crucial role in CO2 emissions reduction, and exploring the accounting methods of city-level CO2 emissions is important for formulating effective emission reduction policies. Although previous studies have verified a linear relationship between nighttime light data (NTL) and CO2 emissions at the provincial level, the consistent fitting coefficient adopted by cities ignored the socioeconomic characteristics of the city itself. Therefore, this study proposed a new method of using NTL to account city-level CO2 by dividing all cities into seven types which were mainly characterized by resources-based, energy-produced, light industry-based, heavy industry-based, high-end service-based, general service-based, and others using K-means, and constructing multivariate regression and hierarchical regression model to correct fitting coefficients of NTL of each city. The results showed that the estimation in this study improved the accuracy of city-level direct CO2 emissions compared with fitting results obtained directly by NTL. The high-emission cities concentrated in four urban agglomerations accounted for 32.68% of total emissions. Resources-based cities, energy-produced cities, and heavy industry-based cities showed higher CO2 emissions intensity (CEI) and CO2 emissions per capita (CEC) among seven-type cities. The contribution of population density to the cities with low CEI and CEC was obvious, but the trends of urbanization and GDP per capita were opposite. This study improved and enriched the methods of estimating city-level CO2 emissions with NTL, and provided support for different-type cities to formulate targeted CO2 emission reduction policies.
WOS关键词CO2 EMISSIONS ; SPATIOTEMPORAL VARIATIONS ; ECONOMIC-GROWTH ; CHINESE CITIES ; INTENSITY ; URBANIZATION ; PERFORMANCE ; INVENTORY ; DATABASE ; DRIVERS
资助项目National Natural Science Foundation of China[42171204] ; National Natural Science Foundation of China[42042027] ; National Natural Science Foundation of China[41822104] ; National Natural Science Foundation of China[ZDBS-LYDQC005] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23100301] ; Chinese Academy of Sciences Basic Frontier Science Research Program from 0 to 1 Original Innovation Project[ZDBS-LYDQC005]
WOS研究方向Engineering ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000793392200002
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Chinese Academy of Sciences Basic Frontier Science Research Program from 0 to 1 Original Innovation Project
源URL[http://ir.igsnrr.ac.cn/handle/311030/176814]  
专题中国科学院地理科学与资源研究所
通讯作者Chen, Mingxing
作者单位1.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Inst Geog Sci & Nat Resources Res, 11A,Datun Rd, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci China, Coll Resource & Environm, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Zhou, Yuan,Chen, Mingxing,Tang, Zhipeng,et al. City-level carbon emissions accounting and differentiation integrated nighttime light and city attributes[J]. RESOURCES CONSERVATION AND RECYCLING,2022,182:15.
APA Zhou, Yuan,Chen, Mingxing,Tang, Zhipeng,&Zhao, You.(2022).City-level carbon emissions accounting and differentiation integrated nighttime light and city attributes.RESOURCES CONSERVATION AND RECYCLING,182,15.
MLA Zhou, Yuan,et al."City-level carbon emissions accounting and differentiation integrated nighttime light and city attributes".RESOURCES CONSERVATION AND RECYCLING 182(2022):15.

入库方式： OAI收割

来源：地理科学与资源研究所

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