解耦(概率)
库兹涅茨曲线
温室气体
能量强度
发射强度
能源消耗
经济
人均
人口
计量经济学
材料科学
工程类
生态学
人口学
电气工程
光电子学
光致发光
控制工程
社会学
生物
作者
Chaofeng Shen,Jun Zhang,Jianfei Pang,Haifeng Xu
出处
期刊:Research Square - Research Square
日期:2023-10-17
标识
DOI:10.21203/rs.3.rs-3339095/v1
摘要
Abstract The driving factors of China's industrial carbon emissions are decomposed by GDIM, so as to explore the reasons for the change of China's industrial carbon emissions. The decoupling effect of China's industrial carbon emissions and economic growth is studied by speed decoupling and quantity decoupling. The speed decoupling is measured by Tapio decoupling elasticity and emission reduction effort function, and the quantity decoupling is measured by environmental Kuznets curve (EKC). The results show that the positive driving factors are output size effect > industrial energy consumption effect > population size effect, and the negative driving factors are investment carbon emission effect > output carbon intensity effect > per capita output effect > economic efficiency effect > energy intensity effect. The elasticity of emission reduction is basically greater than that of energy conservation, indicating that there is still much room for efforts in emission reduction. The overall decoupling effect of carbon emissions is undecoupling - strong decoupling - undecoupling. The shape of quadratic EKC curve is "U" type, and the shape of cubic EKC curve is "N" type, which satisfies the EKC curve hypothesis.
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