scholarly journals Retrospect driving forces and forecasting reduction potentials of energy-related industrial carbon emissions from China’s manufacturing at city level

2020 ◽  
Vol 15 (7) ◽  
pp. 074020
Author(s):  
Yongxian Su ◽  
Yilong Wang ◽  
Bo Zheng ◽  
Philippe Ciais ◽  
Jianping Wu ◽  
...  
2021 ◽  
pp. 100039
Author(s):  
Qi Huang ◽  
Heran Zheng ◽  
Jiashuo Li ◽  
Jing Meng ◽  
Yunhui Liu ◽  
...  

2014 ◽  
Vol 675-677 ◽  
pp. 1865-1868 ◽  
Author(s):  
Han Li ◽  
Lin Wu

LMDI (Logarithmic Mean Divisia Index) was used to estimates the carbon emission of industrial energy consumption in Hunan Province with collected data on industrial energy consumption in 2000-2012. The results showed that carbon emissions of industrial energy consumption present the overall upward trend in Hubei Province, where the carbon emissions of coal consumption are the main factors, this shows that the industry of Hubei is extensive development withhigh energy consumption. In addition, industrial carbon intensity has a fluctuated downward trend in 2011-2012; this shows that Hubei province has made ​​a positive change on control carbon emissions of energy consumption.


2020 ◽  
Vol 268 ◽  
pp. 121925 ◽  
Author(s):  
Fang Luo ◽  
Yi Guo ◽  
Mingtao Yao ◽  
Wenqiu Cai ◽  
Meng Wang ◽  
...  

2012 ◽  
Vol 260-261 ◽  
pp. 1052-1056
Author(s):  
Wei Yang Yu ◽  
Hui Ning Zhao

This paper calculates carbon emissions in Hebei Province based on energy consumption and carbon coefficients and adopts the index decomposition model to analyze the influence of value-added industries and carbon emissions per unit added value on carbon emissions.The results indicate that the increase of value-added industries in Hebei Province is the main factor affecting the growth of carbon emissions, but the decrease of carbon emissions per unit added value induces carbon emissions to a lesser reducing. The conclusions can offer the decision basis for reducing carbon emissions.


2020 ◽  
Vol 254 ◽  
pp. 120028 ◽  
Author(s):  
Wenqiu Cai ◽  
Xuemei Song ◽  
Pengfei Zhang ◽  
Zengcheng Xin ◽  
Yang Zhou ◽  
...  

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