The Spatiotemporal Characteristics and Peak Scenario Prediction of Carbon Emissions from Food Consumption of Urban and Rural Residents in China
Food consumption has a significant impact on the carbon cycle.It is of great significance to study the carbon emissions from food consumption for the control of carbon emissions.Research content:Based on the data of carbon emissions from food consumption in urban and rural areas of 31 provinces(autono-mous regions and municipalities)in China during 1999-2020,the paper focuses on analyzing the spatiotempo-ral characteristics of carbon emissions from food consumption in urban and rural areas of all the provinces in China during 2015-2020,and combines the STIRPAT model with scenario analysis to extrapolate and predict the carbon peak of urban and rural food consumption in different scenarios from 2021 to 2060.The results show that:(1)The per capita carbon emissions of urban food consumption show a fluctuating upward trend,while the per capita carbon emissions of rural food consumption show a trend of first decreasing and then in-creasing.(2)The carbon emissions of urban food consumption showed a obvious spatial aggregation,which showing a homogeneous agglomeration.The carbon emission of rural food consumption presents the transition of"spatial accumulation is very obvious-spatial random distribution-spatial accumulation is relatively obvi-ous-spatial accumulation is very obvious".(3)The peak time of urban food consumption carbon emission is mainly 2035 and 2045,while rural food consumption carbon emission will not reach the peak before 2060 and gradually enter the plateau period.
万方数据
维普
