Emission reduction effect and carbon market efficiency of carbon emissions trading policy in China

Energy ◽  
2020 ◽  
Vol 196 ◽  
pp. 117117 ◽  
Author(s):  
Wei Zhang ◽  
Jing Li ◽  
Guoxiang Li ◽  
Shucen Guo
2019 ◽  
Vol 11 (19) ◽  
pp. 5303 ◽  
Author(s):  
Zhongyu Ma ◽  
Songfeng Cai ◽  
Weifeng Ye ◽  
Alun Gu

Linking carbon emissions trading systems across countries has become an important tool for global emission reduction. The three high-emission Asian countries, China, Japan, and South Korea (ROK), all have initiated carbon trading and published ambitious Intended Nationally Determined Contribution targets. Since 2016, the three countries have discussed establishing a long-term unified market for carbon emissions trading, and have sought a scheme for such exchange. This study aimed to investigate whether linking the carbon emissions trading systems of these three countries could potentially achieve more ambitious emission reduction targets. A dynamic energy-environmental version of the Global Trade Analysis Project model was used to simulate carbon market linkages across the three countries. The results indicated that a linked China–Japan–ROK carbon market would be highly cost-effective, have positive economic benefits for all three countries, and improve the carbon market’s liquidity and transaction scale. Under a scenario with no carbon market linking, the economic losses in China, Japan, and ROK would be $51.55 billion, $13.55 billion, and $74.19 billion, respectively. Meanwhile, with carbon trading linking, the losses would be reduced to $47.08 billion, $5.37 billion, and $9.10 billion, respectively. Therefore, a joint China–Japan–ROK carbon market could greatly promote the adoption of market-based tools for emission reduction.


2019 ◽  
Vol 11 (11) ◽  
pp. 3099 ◽  
Author(s):  
Shengxian Ge ◽  
Xianyu Yu ◽  
Dequn Zhou ◽  
Xiuzhi Sang

To control growing environmental problems, the pollution rights trading (PRT) center was established in Jiaxing in 2007, and China officially joined the carbon emission reduction market (NCET) in 2011. Since power enterprises are the main participants in the NCET market and PRT market, the integrated effect of the NCET market and PRT market on power enterprise profit and the regional environment is one of the major issues that needs to be taken into consideration. Based on system dynamics (SD) theory, we propose an NCET-PRT simulation model for power enterprises in Chongqing. Through analyzing parameters of carbon trading price, free ratio, and emission trading prices, 12 different simulation scenarios are configured for sensitivity analysis. Based on the simulation results, the following observations can be obtained: (1) NCET and PRT can effectively promote the performance of enterprises’ carbon emissions reduction and regional pollutant emission reduction but will have a minor negative impact on the industrial economy at the same time; (2) The trading mechanism is interactive; if the carbon emissions trading (NCET) mechanism is implemented separately, the emission of pollutants will be reduced significantly. However, the implementation of pollution rights trading (PRT) alone cannot significantly reduce CO2 emissions; (3) At an appropriate level, NCET and PRT can be enhanced to achieve a maximum emissions reduction effect at a minimum economic cost.


2020 ◽  
Vol 12 (7) ◽  
pp. 2754
Author(s):  
Xianzi Yang ◽  
Chen Zhang ◽  
Yu Yang ◽  
Yaqi Wu ◽  
Po Yun ◽  
...  

To address climate change, the carbon emission trading scheme has become one of the main measures to achieve emission reduction goals. One of the core problems in constructing the carbon emissions trading market is determining carbon emissions trading prices. The scientific nature of carbon emissions pricing determines the effectiveness of market regulation. Research on the influencing factors and heterogeneous tail distribution of carbon prices can increase the accuracy of carbon pricing, which is particularly important for the development of the carbon emissions trading market. The current studies have some limitations and lack heterogeneous tail description. We employ the arbitrage pricing theory-standardized standard asymmetric exponential power distribution model to analyze China’s regional carbon emissions trading price and use a genetic algorithm to solve linear programming. The results confirm the theoretical results and efficiency of the proposed algorithm. First, the new model can capture the skewness, fat-tailed distribution, and asymmetric effects of China’s regional carbon emissions trading price. Second, the macroeconomy, similar products, energy price, and exchange rate influence the carbon price fluctuation; investors’ behavior plays an important role in the heterogeneous tail distribution of carbon price. The findings provide references for the government to take appropriate measures to promote carbon emission reduction and improve the effectiveness of China’s carbon market. Therefore, our findings can help enhance emission reduction and achieve sustainable development of a low-carbon environment.


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