College of Geography and Environment, Shandong Normal University, Jinan 250358, China.
Collaborative Innovation Center of Human-Nature and Green Development in Universities of Shandong, Shandong Normal University, Jinan 250358, China.
Int J Environ Res Public Health. 2022 May 25;19(11):6427. doi: 10.3390/ijerph19116427.
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.
城市是人口和经济高度集中的区域，也是碳排放（CEs）的主要来源。为了减少碳排放，实现碳中和目标，需要考察城市碳排放（UCEs）的空间差异及其影响因素。本文选取 2008—2018 年中国 264 个地级及以上城市作为研究对象，利用碳排放系数测算其 UCEs，运用探索性空间数据分析（ESDA）方法分析其空间差异，采用地理探测器研究 UCEs 的影响因素。结果表明：（1）UCEs 呈逐渐递增趋势，研究期内碳排放最高的城市集中在京津冀、长三角、珠三角、长江中游和成渝等城市群。（2）UCEs 具有一定的全局和局部空间自相关。（3）产业结构是影响 UCEs 的主导因素。
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