摘要
新发展阶段下“双碳”目标的提出,使得人们对碳排放的关注度不断提高,而家庭作为人类社会的基本单元,其生活消费所产生的碳排放也是全社会碳排放的重要组成部分。论文基于兰州市600户家庭的调查数据,采用碳排放系数法核算样本居民家庭消费碳排放量,运用Heckman样本选择模型探究影响兰州市居民家庭碳排放行为的因素。研究发现,从居民家庭碳排放特征来看,家庭生活用电和私家车是主要碳排放源,且家庭碳排放在空间上存在较大差异。同时,与其他地区碳排放特征的对比结果表明,兰州市与西北地区碳排放特征基本保持一致,与中、东部地区之间存在一定差异。从居民家庭碳排放影响因素来看,家庭生活质量对碳排放有显著影响;此外,家庭碳排放影响因素存在地区异质性。
The introduction of the"double carbon"goal in the new development stage makes people pay more attention to carbon emissions,and the carbon emissions generated by the household,as the basic unit of human society,are an important part of the carbon emissions of the whole society.Based on the survey data of 600 households in Lanzhou,this paper adopts the carbon emission coefficient method to calculate the carbon emissions of the sample households and uses the Heckman sample selection model to explore the factors affecting the carbon emission behavior of households in Lanzhou.In terms of the carbon emission characteristics of households,household electricity consumption and private cars are the main sources of carbon emissions,and there are large spatial differences in household carbon emissions.Meanwhile,a comparison with the carbon emission characteristics of other regions shows that the carbon emission characteristics of Lanzhou City remain consistent with those of the northwest region while there are some differences between Lanzhou City and the central and eastern regions.From the perspective of the factors influencing carbon emissions of households,the quality of household life has a significant influence on carbon emissions.In addition,there is regional heterogeneity in the influencing factors of household carbon emissions.
作者
韩君
牛士豪
高瀛璐
HAN Jun;NIU Shi-hao;GAO Ying-lu(School of Statistics,Lanzhou University of Finance and Economics,Lanzhou 730020,China)
出处
《兰州财经大学学报》
2023年第1期68-80,共13页
Journal of Lanzhou University of Finance and Economics
基金
国家社会科学基金一般项目“新发展阶段自然资源资产负债核算理论体系构建与实践应用研究”(22BTJ001)
国家社会科学基金项目“开放经济、垄断竞争视域下中美产业技术差距的经济测度研究”(17BTJ013)。
关键词
家庭碳排放
兰州市
碳排放系数法
Heckman样本选择模型
household carbon emissions
Lanzhou city
carbon emission coefficient method
Heckman sample selection model