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作 者:付伟 李倩 雷甜甜 陈建成[2] FU Wei;LI Qian;LEI Tiantian;CHEN Jiancheng(School of Economics and Management,Southwest Forestry University,Kunming Yunnan 650233,China;School of Economics and Management,Beijing Forestry University,Beijing 100083,China)
机构地区:[1]西南林业大学经济管理学院,云南昆明650233 [2]北京林业大学经济管理学院,北京100083
出 处:《生态经济》2025年第4期22-28,61,共8页Ecological Economy
基 金:国家自然科学基金项目“异质性视角下西部家庭消费间接碳排放的时空演变与驱动机制研究”(72264035);云南省兴滇英才青年人才专项项目“数字经济对云南家庭消费碳排放的影响效应及减排机制研究”。
摘 要:基于家庭消费的角度分析中国家庭消费间接碳排放的时序与地域特征、空间分布规律及影响因素,对于推动我国低碳发展,促进家庭理性消费方式的形成有重大意义。利用消费者生活方式法测度2012—2021年中国家庭消费间接碳排放量,通过位序—规模法则、重心转移模型分析其时空关联特征,运用LMDI模型量化驱动因素,得到以下结论:2012—2013年中国家庭消费间接碳排放总量减少了38 646.81万吨,2013—2016年呈现“V”型趋势,2017年达到最高值222 780.40万吨,而中国家庭人均消费间接碳排放在2015—2018年呈现倒“V”型趋势;食品类、居住类、交通和通信类消费是其主要来源,三类消费占比超过70%;从东部到西部,各省份的间接碳排放量有明显的下降趋势,并具有明显的集聚特征;通过LMDI分解结果可知,技术效应对碳排放具有抑制作用,而消费结构、消费水平和常住人口会对碳排放产生显著的影响。It is of great significance to analyze the temporal and regional characteristics,spatial distribution and driving mechanism of indirect carbon emissions from household consumption in China from the perspective of household consumption,so as to promote China’s low-carbon development and promote the formation of household rational consumption mode.The indirect carbon emissions of China’s household consumption from 2012 to 2021 were measured by using consumer lifestyle approach,and the spatiotemporal correlation characteristics were analyzed by the order-scale rule and the center of gravity shift model,and the driving factors were quantified by using the LMDI model.The following conclusions are obtained:the total indirect carbon emissions from consumption decreased by 386468100 tons from 2012 to 2013,showed a“V”trend from 2013 to 2016,and reached the highest value of 2227804000 tons in 2017,while the indirect carbon emissions from household per capita consumption showed an“inverted V”trend from 2015 to 2018.Food,housing and transportation and communication consumption are the main sources,accounting for more than 70%.From east to west,the indirect carbon emissions of each province have a significant downward trend and have obvious agglomeration characteristics.Through the results of LMDI decomposition,it can be seen that the technical effect has an inhibitory effect on carbon emissions,while the consumption structure,consumption level and permanent population will have a significant impact on carbon emissions.
分 类 号:F062.2[经济管理—政治经济学]
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