ArticleInternational journal of environmental research and public health2022
Spatial Differences and Influential Factors of Urban Carbon Emissions in China under the Target of Carbon Neutrality.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Decomposition of driving factors and peak prediction of carbon emissions in key cities in China.Carbon balance and management · 2025Article
- Spatio-temporal dynamics of human-induced carbon emissions in Southeast Asia (1992-2022) based on nighttime light.Eco-Environment & Health · 2025Article
- Spatiotemporal Evolution of Carbon Emissions According to Major Function-Oriented Zones: A Case Study of Guangdong Province, China.International journal of environmental research and public health · 2023Article
- Spatial-Temporal Characteristics of Multi-Hazard Resilience in Ecologically Fragile Areas of Southwest China: A Case Study in Aba.International journal of environmental research and public health · 2022Article
- COInternational journal of environmental research and public health · 2022Article
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Authors and funding
4 authors.
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Abstract
Cities are areas featuring a concentrated population and economy and are major sources of carbon emissions (CEs). The spatial differences and influential factors of urban carbon emissions (UCEs) need to be examined to reduce CEs and achieve the target of carbon neutrality. This paper selected 264 cities at the prefecture level in China from 2008 to 2018 as research objects. Their UCEs were calculated by the CE coefficient, and the spatial differences in them were analyzed using exploratory spatial data analysis (ESDA). The influential factors of UCEs were studied with Geodetector. The results are as follows: (1) The UCEs were increasing gradually. Cities with the highest CEs over the study period were located in the urban agglomerations of Beijing-Tianjin-Hebei, Yangtze River Delta, Pearl River Delta, middle reaches of the Yangtze River, and Chengdu-Chongqing. (2) The UCEs exhibited certain global and local spatial autocorrelations. (3) The industrial structure was the dominant factor influencing UCEs.
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