scholarly journals The impact of local government investment on the carbon emissions reduction effect: An empirical analysis of panel data from 30 provinces and municipalities in China

PLoS ONE ◽  
2017 ◽  
Vol 12 (7) ◽  
pp. e0180946 ◽  
Author(s):  
Lingyun He ◽  
Fang Yin ◽  
Zhangqi Zhong ◽  
Zhihua Ding
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.


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.


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3136
Author(s):  
Jiaxing Pang ◽  
Xiang Li ◽  
Xue Li ◽  
Xingpeng Chen ◽  
Huiyu Wang

China is a large agricultural country with a high level of agricultural carbon emissions. Whether market prices can be used in agricultural production as a means of agricultural carbon emissions reduction is of great significance to improve the allocation of agricultural production factors and expand large-scale production. This paper applies an autoregressive distributed lag–pooled mean group(ARDL–PMG) model to evaluate the relationship between agricultural production factor prices, food consumption prices, and agricultural carbon emissions, using Chinese provincial panel data from 1994 to 2018. The results show that agricultural carbon emissions and agricultural production factor prices show environmental Kuznets curve (EKC) characteristics; agricultural carbon emissions and food prices show a U-shaped curve; and agricultural production factors are positively correlated with food price in both directions in the long-term. The results of Granger causality tests show that price is the cause of agricultural carbon emissions; the price of agricultural production factors and the price of food consumption are mutually causal. Such results have implications for price, agriculture, and environmental policies. The analysis implies that the market price can be applied to agricultural carbon reduction, which will help policymakers to implement effective price policies in order to reduce agricultural carbon emissions. One implication is that promoting the marketization of agricultural production factors and reducing price distortions will be conducive to carbon emissions reduction in agriculture, which in turn will increase food consumption prices. Therefore, subsidies are needed at the consumption end, which will eventually achieve further carbon emissions reduction at the production and consumption ends.


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