The impacts of emission trading scheme on China’s thermal power industry: A pre-evaluation from the micro level

2019 ◽  
Vol 31 (6) ◽  
pp. 1007-1030
Author(s):  
Bingxin Zeng ◽  
Jun Xie ◽  
Xiaobing Zhang ◽  
Yang Yu ◽  
Lei Zhu

Emission trading scheme is known as a cost-effective measure for mitigating CO2 emissions, and recently, China has started the world's largest carbon trading system. As the most influential industry in determining China's overall CO2 emission level, the thermal power industry will be greatly affected by nationwide carbon market in the near future. This paper explores the impact of the upcoming national emission trading scheme on China's thermal power industry at firm level. First, based on empirical data of 478 thermal power plants, an empirical analytical framework of micro-firm level is constructed. Then, two kinds of policy scenarios, including no carbon emission trading and national emission trading scheme, in two different market structures have been analyzed. The results show that emission trading scheme have positive impacts on reduction of CO2 emissions among China’s power plants and can reduce the total abatement costs by 0.37%–41.5%. Furthermore, most of the thermal power plants are emissions permits buyers including all the low-emission gas-fired power plants. Additionally, compared with the perfect competition market, more than 70% of thermal power plants increase their total abatement costs in imperfect competition market. These findings provide reference for promoting the development of nationwide carbon emission trading system in China.

2016 ◽  
Vol 178 ◽  
pp. 902-917 ◽  
Author(s):  
Jingjing Jiang ◽  
Dejun Xie ◽  
Bin Ye ◽  
Bo Shen ◽  
Zhanming Chen

2021 ◽  
pp. 0958305X2110292
Author(s):  
Jung Youn Mo ◽  
Wooyoung Jeon

With increasing global pressure on transition to carbon neutrality, various technical and policy efforts such as emission trading scheme and carbon tax are being made to improve energy productivity. Yet, there are not many literatures that analyze determinants of firm-level energy productivity, which is an important issue as energy use in industry accounts for one fourth of global carbon emission. This study investigates factors affecting energy productivity such as technology innovation, environmental policy and energy price based on firm-level data from the Korean Emission Trading Scheme (KETS). The total factor energy productivity is estimated by industry based on stochastic frontier analysis (SFA) and panel data analysis is performed to identify determinants of firm-level energy productivity. The results show that energy productivity in Korea has been improved since 2016, and technical progress and environmental policy play an important role in promoting energy productivity. In addition, analysis identifying industry-specific characteristics is performed as their production process and energy consumptions structures vary. The result shows that innovation activity does not significantly affect energy productivity in process industries, but it does in the assembling and high technology industries. This paper implies that policy design reflecting industry-specific characteristics is important to improve energy efficiency more effectively.


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