Can carbon emission trading scheme achieve energy conservation and emission reduction? Evidence from the industrial sector in China

2020 ◽  
Vol 85 ◽  
pp. 104590 ◽  
Author(s):  
Yucai Hu ◽  
Shenggang Ren ◽  
Yangjie Wang ◽  
Xiaohong Chen
Keyword(s):  
Energy Conservation ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Emission Trading ◽  
Industrial Sector ◽  
Emission Trading Scheme ◽  
Trading Scheme ◽  
Carbon Emission Trading

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 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.

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