Research on entropy generation strategy and its application in carbon trading market

2020 ◽  
Vol 29 (5) ◽  
pp. 1992-2000
Author(s):  
Miao Zhenjian ◽  
Kofi Baah Boamah ◽  
Xingle Long
2014 ◽  
Vol 1010-1012 ◽  
pp. 2094-2101
Author(s):  
Long Xi Han ◽  
Jia Jia Zhai ◽  
Lin Zhang

The opportunities and challenges in the field of Chinese renewable energy were analyzed through the impact of global greenhouse gas (GHG) emission reduction trade, especially CDM on Chinese renewable energy, combined with the enhancement of awareness of voluntary emission reduction, relationship between emission reduction trade and renewable energy, changes in the international trade environment and the rise of the domestic trading system. It is suggested that the renewable energy industry integrates with GHG emission reduction trading system in China and explores the huge double benefit of emission reduction and income increase with market means, providing a reference for the smooth implementation of nationwide CN ETS including varies industries in the carbon trading market in the future, and striving for the speaking right for China to set the marketing price of international GHG emission reduction trading in the future.


LTLGB 2012 ◽  
2013 ◽  
pp. 347-353
Author(s):  
Li Chen ◽  
Boyu Zhang ◽  
Hanping Hou ◽  
Alfred Taudes

2018 ◽  
Vol 53 ◽  
pp. 03006
Author(s):  
Jianfang Zong ◽  
Liang Chen ◽  
Liang Sun ◽  
Huiting Guo

With the rapid development of international carbon finance, the carbon finance market has already been developed worldwide, including China, and has a very good development potential in the future. This paper first introduces the background of carbon trading, analyzes the domestic and overseas carbon trading market, and studies the construction framework of China's carbon trading market. This paper also elaborates the analysis of global carbon trading market development status. Finally, the analysis of China's carbon trading countermeasures are provided as per the aforesaid analysis results.


2019 ◽  
Vol 26 (14) ◽  
pp. 14362-14372 ◽  
Author(s):  
Jianguo Zhou ◽  
Xuejing Huo ◽  
Baoling Jin ◽  
Xuechao Yu

2013 ◽  
Vol 411-414 ◽  
pp. 2505-2510
Author(s):  
Qi Wei ◽  
Man Man Tian

Along with the rapid development of economy, China has become the leading emitter of greenhouse gases in the world. Carbon emissions trading system is an important tool and means to response to climate change effectively and reduce greenhouse gas emissions. At present, Chinese carbon trading market is still in its infancy, and there are many deficiencies: legal system is imperfect and carbon source monitoring regulation is lax, the variety of trading is single, China does not have pricing power of carbon emissions and the layouts of trading platform are not reasonable. Through using the implementation experience of the EU emissions trading system, we construct Chinese carbon trading mechanism based on total control principle: voluntary trading market should be carried out fist and mandatory transaction will be implemented when market condition is sufficient. According to the quotas allocation from free to auction, mandatory transaction shall be implemented in there stages.


Author(s):  
Lihong Wang ◽  
Kedong Yin ◽  
Yun Cao ◽  
Xuemei Li

In recent years, the study of the factors affecting the carbon trading price plays an important role in promoting the carbon trading markets and the sustainable development of green economy. However, due to the short establishment time of China’s carbon trading market, the carbon trading price data of the pilot markets were not complete and have the typical characteristics of poor information. The traditional grey correlation model cannot effectively identify the volatility and the grey correlation coefficient of trading data. In this paper, an inscribed cored grey relational analysis model (IC-GRA) is constructed by extracting the values of the triangle inscribed center of the time series sample. Through numerical examples and empirical analysis, it is verified that IC-GRA not only satisfies the four axioms of traditional grey correlation but also avoids the influence of outliers of time series fluctuation and improves the discriminability of the grey correlation coefficient. The empirical results of the IC-GRA model in China’s seven pilot carbon trading markets show that: 1. among international carbon trade factor, the biggest influence factor carbon trade price is different in pilot markets. The price of natural gas has a greater correlation with the carbon price of carbon trading markets in Shenzhen, Guangzhou, and Chongqing. The futures price of Certified Emission Reduction (CER) has a strong correlation with the carbon price of Shanghai and Beijing carbon trading markets; the price of Hubei carbon trading market is the largest related to crude oil future price in the New York Mercantile Exchange ( NYMEX). 2. Air Quality Index (AQI) is most relevant to the market carbon price of carbon trading, followed by the trading turnover and trading volume of the carbon trading market. Therefore, studying the carbon trading price of the carbon trading market plays a positive role in improving the sustainable development in those areas.


2012 ◽  
Vol 524-527 ◽  
pp. 2562-2565
Author(s):  
Na Zhao ◽  
Yang Zhuang ◽  
Ling Jin ◽  
Qiqige Wuyun ◽  
Ji Zhao

Durban climate conference decided to continue the second commitment period of the Kyoto protocol, and announced to start Green Climate Fund, which provided great opportunities for the rapid development of the carbon trading market. The problem of grassland carbon sink has already received more and more attention from the countries all over the world, and the grassland carbon sink potential and value also got more attention from people. Xilinhot has abundant grassland resources and it is one of the main grasslands in Inner Mongolia. The huge carbon sink has important ecological function and also contains huge economic benefits. Based on the principle of additionality, this paper proposed the method of calculating the carbon sink potential of grasslands, and calculated and analyzed the carbon sink potential of degraded grasslands in Xilinhot. The results indicated that the existing huge carbon sink potential of Xilinhot grasslands was 0.733-0.869Tg C/a. According to the carbon sequestration cost price of afforestation cost method (260.9 RMB yuan / ton C), we estimated the value of grassland carbon sink was 191.2 - 226.7 million RMB yuan / year in Xilinhot.


2012 ◽  
Vol 616-618 ◽  
pp. 1500-1504 ◽  
Author(s):  
Zhi Hong Yang ◽  
Shuang Jian Li ◽  
Yi Pu Zhou ◽  
Qi Wang ◽  
Qin Zhe Liu

The Clean Development Mechanism (CDM) is one of the three “flexibility” mechanisms defined in the Kyoto Protocol. Chinese government implements the CDM projects as the only way and most important means to participate in the global carbon trading market, and provides a lot of policy support; however, there are still many problems and risks during the operation of CDM projects in China: the lack of legal system, Carbon leakage, the insufficient transfer of technology and the passive market position of Chinese enterprises. Starting from the strict GHG reduction target and pilot projects of carbon trading in China, this paper constructs domestic carbon trading market on the basis of experiences and lessons of CDM projects in China; then it puts forward the basic thinking of legal system, market management and supervision system in the process of China’s carbon trading market establishment.


Author(s):  
Akram Esmaeili Avval ◽  
Farzad Dehghanian ◽  
Mohammadali Pirayesh

In this paper, the uniform price and discriminative price method are compared in the carbon auction market using multi-agent Q-learning. The government and different firms are considered as agents. The government as auctioneer allocates initial permits in the carbon auction market, and the firms as bidders compete with each other to obtain a larger share of auction. The carbon trading market, penalty, reserve price, and bidding volume limitation are considered. The simulation analysis demonstrates that bidders have different behavior in two pricing methods under different amounts of carbon permits. In the uniform price, the value of bidding volume, firms’ profit, and trading volume for low permits and the value of the government revenue, clearing price, the trading price and auction efficiency for high permits are greater than ones in the discriminative price method. Bidding prices have a higher dispersion in the uniform price than the discriminative price method for different amounts of carbon permits.


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