As the largest sector of carbon emissions,the power sector is the focus of emission reduction in China.At present,the research on carbon emissions in the power sector mainly focuses on direct carbon emissions on the production side and virtual carbon emissions on the consumption side.Few studies have analyzed provincial-level carbon emissions from the perspective of shared responsibility for production and consumption.Also,rare studies have explored driving factors of carbon emission changes from the perspective of shared responsibility.Based on this,this paper studies the transfer of provincial carbon emission responsibility under cross-regional electricity transactions,and builds the carbon emission accounting system of each province under the perspective of shared responsibility by the share of the power generation side and the power consumption side.Compare the carbon emissions of each province under the perspective of producer responsibility and shared responsibility,and identify the driving factors of the electricity’s carbon emission intensity change.Furthermore,we quantify the effect of each driving factor,and analyze the stress difference and carbon emission reduction potential of the power system in each province.The theoretical basis is provided for carbon emission reduction of the power system.The details of research contents and results are listed as below:Firstly,we build the carbon flow network model that relates the carbon emissions of the power generation side and the power consumption side,and build a carbon emission responsibility-sharing accounting model from the perspective of shared responsibility of the power generation side and the power consumption side.The empirical analysis is carried out based on the relevant electricity trading data in 2005,2010,and 2015.The results show that,compared with the results from producer responsibility,economically developed provinces from the perspective of shared responsibility bear more electricity’s carbon emissions.From the perspective of shared responsibility,Shandong,Jiangsu,Inner Mongolia,Hebei,and Guangdong are the five provinces with the highest carbon emissions in 2015,which are 410.5 Mt,345.9 Mt,290.0 Mt,275.4 Mt,and 255.2 Mt,respectively.The difference in carbon emissions from two perspectives has increased with the scale of electricity trade.In 2015,Inner Mongolia,Hebei,Shanxi,Guangdong and Shandong were the provinces with the largest differences.Then,select the carbon responsibility change factor,fossil energy structure factor,electricity generation efficiency factor,electricity structure factor,and electricity trade factor,and use the LMDI decomposition model to analyze the driving factors of changes in provincial electricity carbon emission intensity from the perspective of shared responsibility.The results show that:compared with the 2005-2010 period,the electricity generation efficiency factor,electricity structure factor,and electricity trade factor have a more pronounced inhibitory effect on the increase of electricity’s carbon emission intensity in 2010-2015.Among them,the electricity generation efficiency of Inner Mongolia and Jiangxi has the largest inhibitory effect,the electricity structure of Yunnan and Sichuan has the strongest inhibitory effect,and the electricity trade of Shanghai and Inner Mongolia has the obvious inhibitory effect.These three factors have obvious inhibitory effects in higher carbon emission regions such as Shandong,Jiangsu,Inner Mongolia,Hebei and Guangdong,and should be used as important reference factors for the selection of emission reduction measures and policy formulation in the power industry.Finally,analysis of pressure differences and carbon emission reduction potentials about the carbon emissions is carried out in the provincial power system,and three relevant evaluation indexes of carbon emissions were proposed.Among them,GINI coefficient of electricity location is used to compare the fairness of carbon emission responsibility sharing results from different perspectives.The carbon mitigation stress index is used to compare the differences in the emission reduction pressures of carbon emissions.The carbon reduction potential index is used to quantify the carbon emission reduction potential of impact factors. |