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基于LMDI模型的贵州省碳排放影响因素研究

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文章以贵州省2001-2021年的碳排放相关数据为研究对象,基于LMDI分解模型,探究贵州省碳排放的影响因素,旨在为贵州省节能减排和碳减目标的实现提供依据.结果表明:(1)贵州省2001-2021年主要能源消费碳排放总量呈现上升趋势,未达到峰值;(2)通过LMDI模型,文章将贵州省碳排放影响因素分解为能源消费结构的变化模块ΔCe、能源强度的变化模块ΔCg、经济发展水平的变动模块ΔCβ、人口规模的变动模块ΔCp和能源消费碳排放系数的变动模块ΔCα;(3)影响贵州省碳排放的主要因素是起抑制作用的能源强度和促进作用的经济发展水平.最后提出了贵州省实现节能减排和碳减目标的对策建议.
Study on Influencing Factors of Carbon Emission in Guizhou Province Based on LMDI Model
Based on the carbon emission data of Guizhou province from 2001 to 2021,this paper explores the influencing factors of carbon emissions in Guizhou province based on the LMDI decomposition model,in order to provide basis for the realization of energy conservation,emission reduction and carbon reduction targets in Guizhou province.The results showed as follows:(1)The total carbon emissions from major energy consumption in Guizhou province from 2001 to 2021 showed an increasing trend and did not reach the peak.(2)Based on the LMDI model,the influencing factors of carbon emissions in Guizhou province were decomposed into the change modules of energy consumption structure ΔCe,energy intensity change module ΔCg,economic development level change module ΔCβ,population size change module ΔCp and energy consumption carbon emission coefficient ΔCα.(3)The main factors affecting carbon emissions in Guizhou province are energy intensity which inhibits and economic development level which promotes.Finally,it puts forward some countermeasures and suggestions to achieve the goals of energy conservation,emission reduction and carbon reduction targets in Guizhou Province.

LMDI modelcarbon emissionsGuizhou province

袁波、吕薇、朱娇媚、汪菊

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贵州财经大学 经济学院,贵州 贵阳 550025

LMDI模型 碳排放 贵州省

贵州财经大学2022年度在校学生科研资助项目

2022BZXS206

2024

化工管理
中国化工企业管理协会

化工管理

影响因子:0.336
ISSN:1008-4800
年,卷(期):2024.(3)
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