基于LMDI-Tapio-GA-BP的中国城乡居民消费碳排放分析

Analysis of China's Urban and Rural Consumption Carbon Emissions Based on LMDI-Tapio-GA-BP

  • 摘要: 基于IPCC-CLA法对中国居民消费碳排放进行溯源测度、使用LMDI-Tapio法进行驱动因素分解和脱钩分析,采用ARIMA-GA-BP法预测2030年碳排放总量及驱动效果的趋势。研究表明:中国城乡居民生活消费碳排放在2003—2019年间一直处于上升阶段,并且总体上城镇居民生活消费碳排放相对更高,城镇居民生活消费间接碳排放的增长是城乡碳排放差异扩大的主要来源。主要驱动因素的脱钩情况说明了城乡能源利用强度、能源利用结构、人口数量与居民消费碳排放的负向脱钩状态;城镇人均收入水平与居民消费碳排放在扩张性负连接和扩张连接之间呈现阶段性转换,乡村人均收入水平脱钩状态呈现出向弱脱钩转换的良好状态。在驱动因素的影响趋势中,城市人口的驱动作用将进一步上升,农村人口的驱动作用将进一步下降,能源强度的驱动作用将进一步下降。2020—2030年间城市直接碳排放和乡村直接碳排放预测将一直处于上升阶段,但碳排放增长速率在2021年出现了峰值之后出现下降趋势,城市直接碳排放下降幅度较大,农村直接碳排放下降幅度相对较缓。收入和城市人口数量变化的影响效应明显,兼顾城乡统筹发展,并注重城乡的能源利用和农村地区消费模式的革新是促进居民消费碳减排的有效路径。

     

    Abstract: Based on IPCC-CLA method, the carbon emissions from household consumption in China were traced. And the driving factors were decomposed and decoupled by the LMDI-Tapio method. Then the total carbon emissions and driving effects trends in 2030 were predicted by the ARMI-GA-BP method. The results show that the carbon emissions from living consumption of urban and rural residents in China were rising from 2003 to 2019, and in general, the carbon emissions from living consumption of urban residents are relatively higher, and the growth of indirect carbon emissions from living consumption of urban residents is the main source of the widening gap between urban and rural carbon emissions. The decoupling of main driving factors indicates the negative decoupling between urban and rural energy utilization intensity, energy utilization structure, population and household consumption carbon emissions. Urban per capita income level and household consumption carbon emissions show a phased transition between expansionary negative connection and expansionary connection, and the decoupling state of rural per capita income level shows a good transition to weak decoupling. In the influence trend of driving factors, the driving role of urban population will further rise, the driving role of rural population will further decline, and the driving role of energy intensity will further decline. The prediction of urban direct carbon emissions and rural direct carbon emissions from 2020 to 2030 will always be on the rise, but the growth rate of carbon emissions will peak in 2021 and then show a downward trend, with a large decline in urban direct carbon emissions and a relatively slow decline in rural direct carbon emissions. The impacts of changes in income and urban population are obvious. Taking into account the overall development of urban and rural areas, and paying attention to the energy utilization in urban and rural areas and the innovation of consumption patterns in rural areas are effective ways to promote residents consumption carbon emission reduction.

     

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