成都市碳排放量的影响因素分析
赵盼月，郭婷婷，陈曦，杨鑫
（西南石油大学经济管理学院，四川 成都 610500）
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。
关键词： 成都市；碳排放量；STIRPAT模型；相关性分析；多元回归
中图分类号： F062.2     文献标志码： A      文章编号： 2095-0802-(2022)10-0001-04
Influencing Factors of Carbon Emissions in Chengdu
ZHAO Panyue, GUO Tingting, CHEN Xi, YANG Xin
(School of Economics and Management, Southwest Petroleum University, Chengdu 610500, Sichuan, China)
Abstract: 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.

Key words: Chengdu; carbon emissions; STIRPAT model; correlation analysis; multiple regression