The spatial and temporal heterogeneity of carbon emission and its driving forces in urban households
This paper studied the spatial and temporal features of carbon emission in urban households in China between 2006 and 2020,using these methods including map visualization,spatial autocorrelation,standard deviation ellipse and spatial Markov chain,and tested the spatial and temporal heterogeneity of driving forces using spatio-temporal geographically weighted regression(GTWR).Carbon emission in urban households increased over years with a growth rate of 10.12%on average,however,the growth was gradually stopping,where it was higher in the east and lower in the west,and it converged when time approached the end of the sample period.The spatial distribution of carbon emission in urban households significantly showed a geographic concentration.The standard deviation ellipse tended to show a center agglomeration,and the core of the distribution shifted to the southwest for about 68.97km.The dynamics of the carbon emission in urban households was affected by the carbon emission of neighboring cities.The driving forces showed significant differences across geographic spaces and over time.Temporally,the impact of the driving forces,including population density,economic growth,opening up to the world,and sectoral structure,on carbon emission was positive but weakening over time,and the impact of technology and environmental regulations were negative and growing stronger over time.Spatially,the impact of population density,economic growth,and opening up to the world,were much stronger in the south,and the impact of technology,sectoral structure,and environmental regulation were much stronger in the east.
citycarbon emission in urban householdsdriving forcesspatial and temporal heterogeneity
万方数据
维普
