李咏麟（学）、徐德义Towards a decoupling between regional economic growth and CO2 emissions in China's mining industry: A comprehensive decomposition framework

我校经济管理学院徐德义老师在T1级别期刊——《Resources Policy》上发表题为“Towards a decoupling between regional economic growth and CO2 emissions in China's mining industry: A comprehensive decomposition framework”。论文作者徐德义为经济管理学院教授，博士生导师。

Abstract /摘要：

As the underlying industry for energy production, the mining industry contributes to economic growth while consuming large amounts of energy and generating CO2 emissions. This paper adopts the Tapio model to investigate the decoupling process of China's mining industry at the national, regional, and provincial levels. A comprehensive decomposition framework is constructed to identify the drivers of decoupling. The results reveal that: (1) The mining industry has performed relatively well in decoupling, with weak decoupling being the dominant state and a strong decoupling achieved. The main contributors are the output scale effect (YS) and the potential energy intensity effect (PEI). There are fluctuations in technology and efficiency-related effects. (2) There is a disparity in decoupling status and driving mechanisms between regions. The eastern region shows the best decoupling performance, benefiting from PEI. The decoupling status in the central region fluctuates considerably, with YS being the primary influence. The western region mainly presents a weak decoupling state, with the boosting effect of output technology increasing year by year. (3) Weak decoupling is a common inter-provincial state. Spatial heterogeneity exists in the driving effects across provinces. Policy recommendations for decoupling progress and low carbon development in the mining industry are presented.

论文信息;

Title/题目:

Towards a decoupling between regional economic growth and CO2 emissions in China's mining industry: A comprehensive decomposition framework

Authors/作者:

Li Yonglin;Zuo Zhili;Cheng Yue;Cheng Jinhua;Xu Deyi

Keywords /关键词

Decoupling;Carbonemission;Mining industry;Index decomposition analysis;Production-theoretical decomposition analysis

DOI:10.1016/J.RESOURPOL.2022.103271

全文链接：https://www.sciencedirect.com/science/article/pii/S0301420722007140?via%3Dihub