摘要
城镇CO2对中国产生的负面影响日益加重,省域作为碳减排配额分配的主体,在推动省域节能减排上势在必行。基于拓展的家庭消费STIRPAT模型和2000—2017年中国30个省份城镇碳排放数据,采用空间杜宾计量方法对模型系数进行估计。实证表明:省域城镇碳排放存在空间自相关性;中国经济增长与城镇二氧化碳排放存在倒U形曲线关系,且直接效应下,所有地区已经处在倒"U"型曲线的下降阶段;本省城镇居民消费结构是影响本省城镇碳排放的一大要素;从人口因素来看,城镇家庭总户数和城镇平均家庭规模与城镇碳排放显著正相关。
The negative impact of urban carbon dioxide on the China is increasing.As the main body of carbon emission reduction quota allocation,it is imperative to promote provincial energy conservation and emission reduction.Based on the extended household consumption STIRPAT model and the carbon emissions calculation results of urban in 30 provinces in China from 2000 to 2017,SDM is used to estimate the model coefficients.The empirical results show that:①Carbon emissions of urban show obvious spatial cluster characteristics;②There is an inverted U-shaped curve between China’s economic growth and urban carbon dioxide emissions.Under the direct effect,all regions are already in the decline phase of the inverted U-shaped curve;The consumption structure of urban residents in the province is a major factor affecting the urban carbon emissions of the province.③In terms of population factors,the total effect coefficient of urban households and urban average household size is positively correlated with urban carbon emissions.Based on the results of empirical analysis,some policy suggestions for carbon emission reduction are given.
作者
任英华
丁浩珂
REN Yinghua;DING Haoke(School of Finance and Statistics,Hunan University,Changsha 410000,China)
出处
《重庆理工大学学报（自然科学）》
CAS
北大核心
2020年第12期256-263,共8页
Journal of Chongqing University of Technology：Natural Science
基金
湖南省自然科学基金项目(2019JJ40038)。
