Electricity carbon footprint of different land use types in China
The spatial-temporal differentiation of electricity carbon emission and the carbon footprint,along with the spatial agglomeration characteristics of the carbon deficit in electricity consumption,can be measured based on the correlation between land use types and energy consumption.This measurement,using data on electricity consumption and land from 2003 to 2020,is a valuable reference for formulating reasonable and differential emission reduction policies.It can help achieve carbon neutrality and peaking carbon goals.The results indicate that the growth rate of national electricity carbon emissions is continuing to slow down,showing spatial patterns of high east and low west,high south and low north.The growth rate of the carbon footprint is characterized by a rapid initial reduction,followed by a slower rate of reduction.Additionally,the carbon footprint of electricity by land use type shows a trend towards convergence.The center of gravity of the carbon footprint is gradually shifting from southeast to northwest,and the northern internal differences have been increasing compared to the south.The scope of the carbon deficit in electricity consumption is continuing to expand.As spatial interactions have increased,the positive correlation between spatial correlation has been strengthened,and the inter-regional gap in the carbon deficit in electricity consumption is narrowing.The main local spatial auto-correlation types are low-low and high-high agglomeration areas.
electricitycarbon footprintland use typescarbon emissionspatial agglomeration
国家科技期刊平台
NSTL
万方数据
维普
