Carbon dioxide-emission in China׳ s power industry: evidence and policy implications
L Yang, B Lin - Renewable and Sustainable Energy Reviews, 2016 - Elsevier
Abstract The Logarithmic Mean Divisia Index (LMDI) and scenario analysis have been
applied respectively to analyze the impact of CO 2-emission and its potential reduction in …
applied respectively to analyze the impact of CO 2-emission and its potential reduction in …
[PDF][PDF] 中国工业碳排放强度变化的结构因素解析
田华征， 马丽 - 自然资源学报, 2020 - researching.cn
以1986-2016 年为研究时段, 将41 个工业部门归类为16 个部门, 在运用CKC
模型分析各部门产值与其CO2 排放量关系的基础上, 建立以碳排放部门结构, 碳排放系数 …
模型分析各部门产值与其CO2 排放量关系的基础上, 建立以碳排放部门结构, 碳排放系数 …
Study on the change of China's industrial carbon emission intensity from the perspective of sector structure
H TIAN, L MA - Journal of Natural Resources, 2020 - jnr.ac.cn
As China's largest CO 2 emission agency, industrial carbon emission reduction is crucial to
achieving China's CO 2 emission reduction goals. Apart from technical upgrading and …
achieving China's CO 2 emission reduction goals. Apart from technical upgrading and …
Can China achieve the 2020 and 2030 carbon intensity targets through energy structure adjustment?
Y Wang, P Shang, L He, Y Zhang, D Liu - Energies, 2018 - mdpi.com
To mitigate global warming, the Chinese government has successively set carbon intensity
targets for 2020 and 2030. Energy restructuring is critical for achieving these targets. In this …
targets for 2020 and 2030. Energy restructuring is critical for achieving these targets. In this …
Using Spatial LMDI to Decompose Electricity Consumption Intensity in Shandong Province from 2015
W Xue, X Zhao, Y Yang, M Jia… - IOP Conference Series …, 2021 - iopscience.iop.org
In this paper, through the construction of spatial LMDI decomposition framework, we
decompose the influencing factors of Shandong Province's total electricity consumption …
decompose the influencing factors of Shandong Province's total electricity consumption …