Financing mode of energy performance contracting projects with carbon emissions reduction potential and carbon emissions ratings

Energy Policy ◽  
2020 ◽  
Vol 144 ◽  
pp. 111632 ◽  
Author(s):  
Tiancheng Shang ◽  
Lan Yang ◽  
Peihong Liu ◽  
Kaiti Shang ◽  
Yan Zhang
2014 ◽  
Vol 1073-1076 ◽  
pp. 2624-2629
Author(s):  
Xiao Xuan Zhang ◽  
Li Ma ◽  
Su Yang ◽  
Tao Cai

As an important part of energy industry, power grid plays a pivotal and irreplaceable role in promoting low-carbon development. In this paper, the carbon emission reduction potential of power grid corporation was systematically analyzed from qualitative and quantitative perspectives respectively. First, this paper discussed the pathways of power grid corporation’s carbon emissions reduction, including decreasing line loss, promoting clean energy development, and so on. Then, a quantitative evaluation model for carbon emissions reduction potential of power grid corporation was developed. Based on the model, the carbon emission reduction benefits that promoted and achieved by State Grid Corporation of China (SGCC) in 2010 and 2015 were calculated. The results show that the carbon emission reduction benefits of SGCC is 138 million tons in 2010, and will be 481.8 million tons in 2015.


2021 ◽  
Vol 13 (13) ◽  
pp. 7148
Author(s):  
Wenjie Zhang ◽  
Mingyong Hong ◽  
Juan Li ◽  
Fuhong Li

The implementation of green finance is a powerful measure to promote global carbon emissions reduction that has been highly valued by academic circles in recent years. However, the role of green credit in carbon emissions reduction in China is still lacking testing. Using a set of panel data including 30 provinces and cities, this study focused on the impact of green credit on carbon dioxide emissions in China from 2006 to 2016. The empirical results indicated that green credit has a significantly negative effect on carbon dioxide emissions intensity. Furthermore, after the mechanism examination, we found that the promotion impacts of green credit on industrial structure upgrading and technological innovation are two effective channels to help reduce carbon dioxide emissions. Heterogeneity analysis found that there are regional differences in the effect of green credit. In the western and northeastern regions, the effect of green credit is invalid. Quantile regression results implied that the greater the carbon emissions intensity, the better the effect of green credit. Finally, a further discussion revealed there exists a nonlinear correlation between green credit and carbon dioxide emissions intensity. These findings suggest that the core measures to promote carbon emission reduction in China are to continue to expand the scale of green credit, increase the technology R&D investment of enterprises, and to vigorously develop the tertiary industry.


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