Spatial and temporal heterogeneity of factors influencing carbon emissions from energy consumption in Chinese cities
Based on the constructed synthetic DMSP/OLS nighttime lighting dataset,carbon emissions from energy consumption in 286 cities in China from 2005 to 2019 were simulated and their influencing factors were analyzed from the perspective of spatial and temporal hetero-geneity using the MGWR model.The results show that:①The MGWR model is more suitable for analyzing the spatial heterogeneity of factors influencing carbon emissions in Chinese cities.②In general,economic development and energy intensity facilitate carbon emissions from ener-gy consumption in Chinese cities.Industrial upgrading and population density mainly show in-hibiting effects,while foreign investment,population size,and green innovation show a heteroge-neous impact model.③specifically,the effects of each factor have strong spatial and temporal heterogeneity.The positive effect of economic development increases from east to west and from south to north;the energy intensity shows a positive impact with the central cities as the center and decreases in a radial pattern;the high-value area of the negative impact of industrial upgrading is mainly in the areas of Jiangsu,Zhejiang,and Shanghai,while the low-value area is in the provinces of Guangxi,Guizhou,Yunnan,and Hainan;the negative impact of population density is low in the cities of the northeast;the negative impact of foreign investment tends to in-crease from west to east;the impact pattern of population size changes from heterogeneous to positive,with the positive impact decreasing from the northeast to the southwest;the impact pat-tern of green innovation changes from negative to heterogeneous,with the positive impact area mainly in the cities of the Yangtze River Delta.
citiescarbon emissionsnighttime lighting dataMGWRinfluencing factorsspa-tial and temporal heterogeneity
万方数据
维普
