基于夜间灯光数据的中国城市群能源消费碳排放时空演变及影响因素研究  

Spatio-Temporal Evolution and Influencing Factors of Energy-Related Carbon Emissions in Urban Agglomerations in China Based on Nighttime Light Data

作　　者：刘战豫 张伞伞 LIU Zhanyu;ZHANG Sansan(Research Center for Energy Economic,School of Business Administration,Henan Polytechnic University,Jiaozuo Henan 454000,China;Taihang Development Research Institute,Henan Polytechnic University,Jiaozuo Henan 454000,China)

机构地区：[1]河南理工大学工商管理学院能源经济研究中心,河南焦作454000 [2]河南理工大学太行发展研究院,河南焦作454000

出　　处：《生态经济》2024年第9期23-31,共9页Ecological Economy

基　　金：国家社会科学基金一般项目“数智创新生态系统价值共创的冲突机制及治理体系”(23BGL058);河南省高等学校重点科研项目软科学“河南省农民数字化增收机制与路径研究”(24A630014);河南省专业学位研究生精品教学案例项目工程经济学(YJS2024AL021)。

摘　　要：研究中国城市群能源消费碳排放时空差异及影响因素,是从更精细尺度推动减污降碳和可持续发展的重要课题。论文基于2012—2020年的NPP-VIIRS夜间灯光数据和能源消耗数据估算中国19个城市群的能源消耗碳排放量,采用标准差椭圆、空间自相关和热点分析研究碳排放的时空演变特征,并运用地理探测器分析碳排放的影响因素。结果表明:中国19个城市群能源消费碳排放总量呈波动上升趋势,东部地区碳排放量占比最大且占比稳定,西南地区碳排放量占比最小;中国城市群碳排放存在明显的空间差异,碳排放呈东北—西南空间分布趋势;中国城市群碳排放呈显著的空间正相关,碳排放热点区主要集中在北方和东北地区;地区生产总值对碳排放空间分异影响力最强,且地区生产总值与科学技术支出、年平均人口、公路客运量的交互作用是促进碳排放的主要驱动力。To study the spatial-temporal differences and influencing factors of carbon emissions from energy consumption in urban agglomerations in China is an important topic to promote carbon reduction and sustainable development at a finer scale.Based on the NPP-VIIRS nighttime lighting data and energy consumption data from 2012 to 2020,carbon emissions from energy consumption are estimated for 19 urban agglomerations in China.Standard deviation ellipse,spatial autocorrelation analysis and hotspot analysis are used to study the spatio-temporal evolution characteristics of carbon emissions,and the influencing factors of carbon emissions are analyzed by using geographic detector.The results show that:The total carbon emissions from energy consumption in 19 urban agglomerations in China show a fluctuating upward trend,with the largest and stable proportion of carbon emissions in the eastern region and the smallest proportion in the southwest region.There are obvious spatial differences in carbon emissions among Chinese urban agglomerations,with a northeast-southwest spatial distribution trend in carbon emissions.Carbon emissions from China’s urban agglomerations show a significant positive spatial correlation,and carbon emission hotspots are mainly concentrated in the northern and northeastern regions.GDP has the strongest influence on the spatial variation of carbon emissions.The interaction between GDP and science and technology expenditure,average annual population and highway passenger traffic is the main driving force for carbon emissions.

关 键 词：碳排放 城市群 夜间灯光数据 时空演变 影响因素 

分 类 号：F062.2[经济管理—政治经济学]