成都市碳排放量的影响因素分析  

Influencing Factors of Carbon Emissions in Chengdu

作　　者：赵盼月 郭婷婷 陈曦[1] 杨鑫 ZHAO Panyue;GUO Tingting;CHEN Xi;YANG Xin(School of Economics and Management,Southwest Petroleum University,Chengdu 610500,Sichuan,China)

机构地区：[1]西南石油大学经济管理学院,四川成都610500

出　　处：《能源与节能》2022年第10期1-4,共4页Energy and Energy Conservation

基　　金：成渝地区双城经济圈协同发展复合式区域性碳交易市场体系研究项目(SC22B016)。

摘　　要：基于1997-2018年成都市的相关数据构建了STIRPAT模型,通过相关性分析和多元回归分析,探讨了成都市人均收入水平、能源强度、区域人口、产业结构、城市交通5个因素对碳排放量的影响。研究结果表明,成都市人均收入水平、区域人口、产业结构和城市交通4个变量与碳排放量呈显著的正向相关关系,而能源强度与碳排放量呈显著的负向相关关系。其中,成都市产业结构和城市交通对碳排放量表现出显著的正向影响。最后根据分析结果,对成都市的碳减排政策制定提出了建议。Based on the relevant data of Chengdu from 1997 to 2018, this paper built STIRPAT model, and through correlation analysis and multiple regression analysis, the impact of five factors of per capita income level, energy intensity, regional population, industrial structure and urban transportation on carbon emissions in Chengdu was discussed. The results show that the four variables of per capita income level, regional population, industrial structure and urban transportation in Chengdu show a significant positive correlation relationship with carbon emissions, while energy intensity shows a significant negative correlation relationship with carbon emissions. Among them, Chengdu’s industrial structure and urban transportation show a significant positive impact on carbon emissions. Finally, according to the analysis results, suggestions were made for the formulation of carbon emission reduction policies in Chengdu.

关 键 词：成都市 碳排放量 STIRPAT模型 相关性分析 多元回归 

分 类 号：F062.2[经济管理—政治经济学]