scholarly journals Carbon Emission Trading Scheme, Carbon Emissions Reduction and Spatial Spillover Effects: Quasi-Experimental Evidence From China

2022 ◽  
Vol 9 ◽  
Author(s):  
Zhaofu Yang ◽  
Yongna Yuan ◽  
Qingzhi Zhang
Keyword(s):  
Emission Reduction ◽  
Carbon Emission ◽  
Spillover Effect ◽  
Emission Trading ◽  
Coal Consumption ◽  
Difference In Differences ◽  
Spatial Spillover ◽  
Trading Scheme ◽  
Carbon Emission Trading ◽  
Spatial Spillover Effect

The carbon emission trading scheme (ETS) is an essential policy tool for accomplishing Chinese carbon targets. Based on the Chinese provincial panel data from 2003 to 2019, an empirical study is conducted to measure the effects of carbon emission reduction and spatial spillover effect by adopting the difference-in-differences (DID) model and spatial difference-in-differences (SDID) model. The research findings show that: 1) The ETS effectively reduced the total carbon emissions as well as emissions from coal consumption; 2) such effects come mainly from the reduction of coal consumption and the optimization of energy structure, rather than from technological innovation and optimization of industrial structure in the pilot regions; and 3) the ETS pilot regions have a positive spatial spillover effect on non-pilot regions, indicating the acceleration effect for carbon emission reduction. Geographic proximity makes the spillover effect decrease due to carbon leakage.

scholarly journals Assessment of the Carbon Emission Reduction Effect of the Air Pollution Prevention and Control Action Plan in China

2021 ◽  
Vol 18 (24) ◽  
pp. 13307
Author(s):  
Zhenhua Zhang ◽  
Jingxue Zhang ◽  
Yanchao Feng
Keyword(s):  
Carbon Emission ◽  
Action Plan ◽  
National Level ◽  
Spillover Effect ◽  
Pollution Prevention ◽  
Difference In Differences ◽  
Spatial Spillover ◽  
Per Capita ◽  
And Control ◽  
Spatial Spillover Effect

In this study, we propose an integrated econometric framework incorporating the difference-in-differences model, the propensity-score-matching difference-in-differences model, and the spatial difference-in-differences model to explore the effect of the Air Pollution Prevention and Control Action Plan on per capita carbon emission in China at the national, regional, and administrative levels. Contradictory results are supported under different econometric models, which highlight the importance and necessity of comprehensive analysis. Taking 285 prefecture-level and above cities as an example, the empirical results show that APPCAP has effectively reduced per capita carbon emission in China at the national level without the consideration of the spatial spillover effect. However, with the consideration of the spatial spillover effect, APPCAP has effectively and directly increased per capita carbon emission in local pilot cities at the national level, and reduced it among pilot cities via the spatial spillover effect, but the effects have become invalid in the non-pilot cities neighboring the pilot cities. Furthermore, the spatial heterogeneity of the effects of APPCAP on per capita carbon emission are supported at the regional and administrative levels. Finally, some specific policy implications are provided for achieving the “win-win” situation of energy saving, emission reduction, and economic development.

Research on China’s cap-and-trade carbon emission trading scheme: Overview and outlook

2016 ◽  
Vol 178 ◽  
pp. 902-917 ◽  
Author(s):  
Jingjing Jiang ◽  
Dejun Xie ◽  
Bin Ye ◽  
Bo Shen ◽  
Zhanming Chen
Keyword(s):  
Carbon Emission ◽  
Emission Trading ◽  
Emission Trading Scheme ◽  
Cap And Trade ◽  
Trading Scheme ◽  
Carbon Emission Trading

scholarly journals Investment Decisions of Fired Power Plants on Carbon Utilization under the Imperfect Carbon Emission Trading Schemes in China

Processes ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 828 ◽  
Author(s):  
Weiwei Zhang ◽  
Linlin Liu
Keyword(s):  
Emission Reduction ◽  
Carbon Emission ◽  
Path Dependence ◽  
Emission Trading ◽  
Investment Decisions ◽  
Chinese Government ◽  
Carbon Trading ◽  
Carbon Utilization ◽  
Carbon Emission Trading ◽  
And Storage

Carbon capture, utilization, and storage (CCUS) is one of the most effective technologies to reduce CO2 emissions and has attracted wide attention all over the world. This paper proposes a real option model to analyze the investment decisions of a coal-fired power plant on CCUS technologies under imperfect carbon emission trading schemes in China. Considering multiple uncertainties, which include carbon trading price volatility, carbon utilization revenue fluctuation, and changes in carbon transport and storage cost, the least squares Monte Carlo simulation method is used to solve the problems of path dependence. The research results show that the independent effects of carbon trading mechanisms on investment stimulation and emission reduction are limited. The utilization ratio of captured CO2 has significant impacts on the net present value and investment value of the CCUS project. Moreover, the investment threshold is highly sensitive to the utilization proportion of food grade CO2 with high purity. It is suggested that the Chinese government should take diverse measures simultaneously, including increasing grants for research and development of carbon utilization technologies, introducing policies to motivate investments in CCUS projects, and also improving the carbon emission trading scheme, to ensure the achievement of the carbon emission reduction target in China.

scholarly journals Research on Agility Development of Energy Enterprises under the Background of Carbon Emission Trading

2020 ◽  
Vol 194 ◽  
pp. 01010
Author(s):  
Erdong Zhao ◽  
Jianmin Chen ◽  
Chuxiang Chen ◽  
Mingsong Chen
Keyword(s):  
Greenhouse Gas ◽  
Corporate Culture ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Emission Trading ◽  
Analysis Method ◽  
Carbon Emission Trading ◽  
Specific Degree ◽  
Positive Effect

In recent years, environmental problems caused by greenhouse gas emissions have attracted more and more attention. Under increasing cost pressure, energy enterprises have become one of the targets to control carbon emissions. Taking China Guodian Corporation as an example, it is of great significance to study the agility development of China’s energy enterprises under the carbon emission trading system.This paper uses content coding analysis method to explore the influencing factors of agility of energy-based enterprises in China and the specific degree of influence. Through research, it is found that corporate culture, leadership awareness and internal competition have a positive effect on the agility of energy-based enterprises. This study develops the relevant theories of energy-based enterprises from the perspective of agility and finds a key breakthrough for energy-based enterprises to cope with the pressure of carbon emission reduction and optimize their operations.

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