摘要
为实现中国的“双碳”目标,降低汽车产业碳排放成为一项重要举措。研究影响汽车产业碳排放的主要因素对制定低碳发展策略具有重要意义。为分析2012—2021年吉林省汽车产业总体碳排放及其驱动因素的变化,采用向量自回归检验(VAR)模型探究汽车产业的碳排放影响因素。研究发现,有4个影响吉林省汽车产业碳排放产生的主要因素,按影响程度由大到小依次为居民消费水平、家用汽车保有量、交通运输业碳排放、汽车制造碳排放。基于分析结果,提出相应建议促进吉林省汽车产业实现碳减排:基于清洁智能生产,进行节能技术升级;给予购车补贴,建设充电设施;建设公共交通,优化线路布局;回收废旧部件,形成循环经济等。
In order to achieve China's"double carbon"target,reducing the carbon emissions from automobile industry has become an important measure,and studying the main factors affecting the carbon emissions is of great significance for formulating low-carbon development strategies.To analyzed the changes of the total carbon emissions from automobile industry in Jilin Province from 2012 to 2021,a Vector Auto Regression(VAR)model is applied in exploring the driving factors for the emissions.It is found out that there are four main factors impacting the carbon emissions from automobile industry in Jilin Province,and the degree of impacts is as follows in descending order:the level of household consumption,the retain number of family cars,the carbon emissions from transportation industry and the carbon emissions of automobile manufacturing.Based on the analytic results above,following measures are proposed to promote the realization of emission reduction of automobile industry in Jilin Province:taking intelligent and clean technologies and new energy-saving measures in vehicle production;providing subsidies for car purchase and building charging facilities;developing public transportation and optimizing route layout;recycling waste parts and forming a cycling economy.
作者
李菲菲
王舒泓
崔金栋
LI Feifei;WANG Shuhong;CUI Jindong(School of Economics and Management,Northeast Electric Power University,Jilin 132012,China)
出处
《综合智慧能源》
CAS
2024年第8期20-27,共8页
Integrated Intelligent Energy
基金
吉林省社会科学基金项目(2022J10)。
关键词
“双碳”目标
汽车全生命周期
碳排放
VAR模型
影响因素
脉冲分析
"dual carbon"target
whole life cycle of the vehicle
carbon emission
VAR model
influencing factor
impulse analysis
作者简介
李菲菲(1982),女,副教授,博士,主要从事能源经济、碳金融方面的研究,292707810@qq.com;通信作者:王舒泓(1999),女,硕士生,从事碳金融方面的研究,209483976@qq.com。
