Study on influencing factors of automobile carbon emissions from the perspective of whole life cycle： A case study of Jilin Province

doi:10.3969/j.issn.2097-0706.2024.08.003

Abstract

Abstract:

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.

Key words: "dual carbon" target, whole life cycle of the vehicle, carbon emission, VAR model, influencing factor, impulse analysis

CLC Number:

TK01

LI Feifei, WANG Shuhong, CUI Jindong. Study on influencing factors of automobile carbon emissions from the perspective of whole life cycle： A case study of Jilin Province[J]. Integrated Intelligent Energy, 2024, 46(8): 20-27.

Figures/Tables 11

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Table 1

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变量	系数	标准误差	T统计量	概率
lnV_P	0.357 7	0.090 2	3.966 2	0.000 3
lnL_C	0.388 4	0.172 3	2.256 1	0.030 4
lnT_E	0.225 6	0.047 6	4.739 7	0
lnR_T	0.327 1	0.071 9	4.551 4	0.000 1
C₀	-4.654 8	0.520 9	-8.936 3	0
拟合度R²			0.988 1
F统计量下的P值			0