Analysis of spatial and temporal heterogeneity of carbon emissions in Middle Yangtze River city clusterbased on GTWR model
ZHANG Zihao1,2， YU Bin1,2， GUO Xinwei3， HU Mengshan1,2， HE Lixiang1,2,4
(1.Key Laboratory for Geographical Process Analysis & Simulation Hubei Province， Central China Normal University， Wuhan 430079， China；2.Academy of Wuhan Metropolitan Area， Hubei Development and Reform Commission & Central China Normal University， Wuhan 430079， China；3.School of Geographic Science， Xinyang Normal University， Xinyang 464000， Henan，China；4.School of Management Science and Engineering， Guizhou University of Finance and Economics， Guiyang， 550025， China.)
Abstract：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.
张自豪,余 斌,郭新伟,胡梦姗,何立翔,. 基于GTWR模型的长江中游城市群碳排放时空异质性分析[J]. 华中师范大学学报(自然科学版), 2024, 58(3): 324-338.
ZHANG Zihao,YU Bin,GUO Xinwei,HU Mengshan,HE Lixiang,. Analysis of spatial and temporal heterogeneity of carbon emissions in Middle Yangtze River city clusterbased on GTWR model. journal1, 2024, 58(3): 324-338.
2024, Vol. 58 
