Research On The Potential Of Household Carbon Emission Reduction Of Sichuan Provincen Based On Carbon Labelling

Climate change has given rise to global warming,arousing extensive concern in the world.With the development of social economy and improvement of household living standard,household consumption has become an important source of carbon emission.Previous researches mainly focus on carbon emission of production departments and relevant impact,while hardly focus on the impact of household consumption on carbon emission.In particular,household carbon emissions show abvious spatial and temporal heterogeneity in population size,economic structure,resource endowment,etc.Therefore,it is necessary to formulate corresponding emission reduction policies,provide theoretical reference for reducing carbon emission on the consumption side,and promote the participation of the residents in emission reduction practice.Taking Sichuan Province as the research object,the direct and indirect household carbon emissions from 2010 to 2017 were calculated in this study and the temporal variation trend was analyzed.Then,a new zero-sum gains-data envelopment analysis(ZSG-DEA)model with factor constraint cone was proposed.The total amount of household carbon emissions in Sichuan province was allocated to 21 cities to clarify the current situation of household carbon emissions in each city and the decoupling relationship between the household carbon emission and the expenditure of household consumption was explored.Moreover,carbon labelling was introduced as a guiding tool for emissions reduction.By analyzing the potential ability of household carbon emissions reduction in various cities,the aim was to provide policy suggestions for carbon emissions reduction on the consumer side and promote regional green development.The main conclusions of this study are as follows:(1)In 2010-2017,the total household carbon emissions and carbon emissions per capita of Sichuan province showed a trend of growth at first and decline then.Specifically,there was a growing trend in 2010-2015,and a declining trend in the 2015-2017 with a peak in 2015,which may be a phased peak.Indirect carbon emissions accounted for a large proportion about60% for the household carbon emissions.(2)The direct carbon emissions were mainly produced by raw coal,gasoline,and natural gas.By 2017,raw coal,gasoline,and natural gas accounted for 7.86%,47.13%,and 40.58% repectively.From 2010 to 2017,"housing","food",and"transportation and communication"accounted for the largest proportion of indirect household carbon emissions,about 26.06%,24.72%,and 18.42%respectively and followed by"clothing","education,culture and entertainment","medical care","daily necessities and services"and"other goods and services".(3)From the perspective of the temporal change of household carbon emissions in various cities in Sichuan Province,the trend in most cities was similar with that of the total household carbon emissions in Sichuan Province with the changing amplitude from 3.4%-26.7%.While from the perspective of the spatial change,regional differences were obvious.The carbon emissions in Chengdu city was the highest with an annual average of 9.61 million tons,which has a strong agglomeration and radiation effect.Then,there was a small gap between Chengdu and other cities.Panzhihua city,Mianyang City,and Deyang City ranked the top three with3.59,3.22,and 3.18 million tons respectively.Twenty-one cities and states all showed a peak at different times.(4)From 2010 to 2017,the relationship between consumer expenditure and carbon emissions in Sichuan province was in the state of "weak decoupling" and "strong decoupling".The more the decrease of carbon emissions per capita intensity,the lower the decoupling index.Considering the dimensionless carbon emissions reduction label,Chengdu,Panzhihua,Deyang,Mianyang,Guangyuan,Leshan,and Liangshan were classified as the "Extremely low" with low emissions reduction potential.Dazhou was classified as the "low" with relatively small emissions reduction potential.Guangan,Aba,Ganzi,Suining,Nanchong and Meishan were classified as the "medium" with large potential for emissions reduction.Ziyang,Yibin,Luzhou,Yaan,Bazhong,Neijiang and Zigong were classified as the "high" with great potential for emissions reduction.