In alignment with the dual carbon goals,investigating the temporal and spatial variability of carbon emissions in urban conglomerations within Central China is vital for supporting regional low-carbon development.This research,concentrating on Middle Yangtze River city cluster,employed panel data from 2011 to 2020 to analyze the temporal and spatial differences in carbon emissions,including total emissions,per capita emissions,and emissions per unit area.The Geographically and Temporally Weighted Regression(GTWR)model was performed to analyze the determinants of carbon emissions and their variability throughout time as well as space in the research area.Key discoveries are shown as follows.1)A consistent rise in total carbon emissions from 98 152 000 tin 2011 to 132 226 120 tin 2020 was observed,with a decrease in growth rate from 8.23％to 4.85％.2)There is a substantial spatial heterogeneity in carbon emissions within the Yangtze River Middle city cluster.The total,per capita,and area-specific carbon emissions exhibits the pattern of Wuhan Urban Agglomeration＞Changsha-Zhuzhou-Xiangtan Urban Agglomeration＞Poyang Lake Urban Agglomeration,with an especially noticeable divergence between the Poyang Lake Urban Agglomeration and the others.3)Factors such as total population,economic development level,industrial composition,and energy consumption intensity significantly influenced regional carbon emissions,reflecting the spatial order of Wuhan Urban Agglomeration＞Changsha-Zhuzhou-Xiangtan Urban Agglomeration＞Poyang Lake Urban Agglomeration.
关键词
长江中游城市群/碳排放/时空异质性/GTWR模型
Key words
Middle Yangtze River city cluster/carbon emissions/spatial and temporal heterogeneity/GTWR model
维普
万方数据