Economic assessment of natural gas decarbonization technology for carbon emissions reduction of bitumen recovery from oil sands

2016 ◽  
Vol 55 ◽  
pp. 153-165 ◽  
Author(s):  
E.I. Nduagu ◽  
I.D. Gates
2021 ◽  
Author(s):  
Xiaomei LUAN ◽  
Danny Chunying Cui ◽  
Dianping Zhang ◽  
Junyue XIE ◽  
Ziwei YAN

Abstract West-to-East gas transmission project (WEGTP) is a major energy construction programm in China. Evaluating its impacts on the energy consumption and carbon emissions(ECER) in involved provinces is of great significance for further achieve the goals of high-quality development. This paper takes WEGTP as a quasi-natural experiment, calculates the total energy consumption and carbon emissions by employing the provincial panel data of 1997-2017, and applies a counterfactual framework under Rubin Causal Model (RCM) to estimate the ECER policy effect of WEGTP Line I Subproject. It is found that WEGTP generates an overall carbon emissions reduction effect in the involved provinces. Further heterogeneity analysis points out that the project has an obvious energy conservation effect on the natural gas importer provinces, however the emissions reduction effect is not significant, while the project has significant positive effects on energy conservation and emissions reduction in the natural gas exporter provinces. Based on the results, WEGTP has played a long-term role in promoting energy structure optimization and carbon emissions reduction. It is still necessary to figure out the price mechanism of natural gas consumption, actively promote the structure of industrial, and meet the objective requirements of high-quality development with the actual effects of energy conservation and emissions reduction.


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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