The Impact of Initial Allocation of Carbon Emission Rights on Power Generation Replacement Analysis Model

2014 ◽  
Vol 496-500 ◽  
pp. 2760-2763
Author(s):  
Zhong Fu Tan ◽  
Tao Lei ◽  
Huan Huan Li ◽  
Li Wei Ju ◽  
Zhi Hong Chen
Keyword(s):  
Power Generation ◽  
Carbon Emission ◽  
Capacity Allocation ◽  
Carbon Trading ◽  
Analysis Model ◽  
Initial Allocation ◽  
Trading Market ◽  
Emission Rights ◽  
Installed Capacity ◽  
The Impact

Rational scheme of initial allocation of carbon emission rights is the key to the smooth running of carbon trading market. Based on the traditional carbon emission rights allocation mode, this paper combining China’s actual development of power industry and characteristics of the distribution of generation resources, put forward the impact of initial allocation of carbon emission rights on power generation replacement analysis model. By studying the impact of initial allocation of carbon emission rights on power generation rights trade, and comparing the different results of power generation rights trade, respectively, based on installed capacity allocation and power generation allocation, it is found that the mode that based on power generation allocation can better promote the power generation rights trade.

scholarly journals Study of Chinese carbon emission trading market mechanism based on the game theory

2021 ◽  
Keyword(s):  
Carbon Emission ◽  
Emission Trading ◽  
Market Mechanism ◽  
Third Party ◽  
Game Model ◽  
Carbon Trading ◽  
Initial Allocation ◽  
Regulatory Policies ◽  
Trading Market ◽  
Secondary Carbon

<p>In order to provide corresponding suggestions for the establishment and development of China's carbon trading market mechanism, the three-party game model of the competent government departments, carbon emission enterprises and third-party verification institution in the initial allocation of carbon emission rights and the rotation bargaining game model in the secondary carbon trading market are solved and analyzed in this paper. The results show that the competent government departments should improve the review efficiency effectively to reduce cost by outsourcing the review work to universities, research institutes and other scientific research units and increasing punishment for the collusion behavior between the carbon emission enterprises and third-party verification institution. At the same time, the competent government departments should adopt the regular regulatory policies to deal with collusion behavior and reduce the sampling proportion to cut cost of government review. The trading center should directly determine transaction price in combination with the forces of buyers and sellers, and make matchmaking trading directly by selecting the qualified buyers and sellers at the secondary carbon trading market in process of bilateral open bidding.</p>

scholarly journals Offline and Online Channel Selection of Low-Carbon Supply Chain under Carbon Trading Market

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Qiang Han ◽  
Zhenlong Yang ◽  
Zheng Zhang ◽  
Liang Shen
Keyword(s):  
Carbon Emission ◽  
Stackelberg Game ◽  
Product Market ◽  
Carbon Trading ◽  
Low Carbon ◽  
Carbon Product ◽  
Trading Market ◽  
Emission Quota ◽  
Online Channel ◽  
The Impact

This paper investigates the low-carbon product manufacturer’s different decision behavior in the offline traditional retail channel and online e-commerce channel when the carbon trading market has been established. The low-carbon product manufacturer is both in the carbon trading market and product market. In the former market, the manufacturer can gain profits by selling its emission quota. In the latter market, the manufacturer has two sales channel options, the traditional offline retailer and the online e-commerce platform. These two channels make two supply chains, the manufacturer-led offline one and the e-commerce platform-led online one. This paper combines the carbon trading market with the product market, formulates different Stackelberg game models, compares the manufacturer’s decision under two channels and the impact of channels on the carbon emission, does sensitivity analysis, and verifies the conclusions with numerical examples. Our findings are (1) the establishment of the carbon market will help the manufacturer reduce its carbon emission, especially for those sensitive to the carbon price and those with too much emissions; (2) whether the manufacturer turns to the online channel depends on the consumers’ sensitivity to the sales service, and consumers’ attention will guide the way to the online mode; (3) which mode is conducive to carbon emission reduction relies on the product type: the e-commerce platform does well for daily necessities of mass production while the traditional channel is better for experience goods.

The Opportunities and Challenges of Chinese Renewable Energy Greenhouse Gas Emission Reduction Trade

2014 ◽  
Vol 1010-1012 ◽  
pp. 2094-2101
Author(s):  
Long Xi Han ◽  
Jia Jia Zhai ◽  
Lin Zhang
Keyword(s):  
Renewable Energy ◽  
Greenhouse Gas ◽  
Emission Reduction ◽  
Greenhouse Gas Emission ◽  
Carbon Trading ◽  
Ghg Emission ◽  
Trading System ◽  
Trading Market ◽  
The Future ◽  
The Impact

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.

scholarly journals Strategies for Capital Constrained Timber and Carbon Sink Supply Chain under the Cap-and-Trade Scheme

2020 ◽  
Vol 12 (11) ◽  
pp. 4380
Author(s):  
Xinyue Yang ◽  
Ye Song ◽  
Mingjun Sun ◽  
Hongjun Peng
Keyword(s):  
Supply Chain ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Carbon Sink ◽  
Cap And Trade ◽  
Stackelberg Model ◽  
Emission Rights ◽  
The Government ◽  
The Impact ◽  
Reduction Costs

We consider a capital constrained timber and carbon sink supply chain under the cap-and-trade scheme, where the forest company produces timber and carbon sink. We consider two subsidy modes: financing subsidy to the carbon sink forests and financing subsidy to the manufacturer’s emission reductions. We apply a Stackelberg model and mainly consider the impact of subsidies on the profits and the strategies of the supply chain members. The results show that when the government gives a financing subsidy to the carbon sink forests, it is conducive to promoting the expansion of carbon sink forests, as well as the enhancement of the forest company’s profit. However, a larger supply of carbon sinks generates a lower price, which leads to the manufacturer reducing the technical emission reduction level and purchasing more carbon emission rights instead. On the other hand, when the manufacturer receives a financing subsidy for the technical emission reduction costs, its production becomes cleaner than before, and the profits of the forest company and the manufacturer increase.

scholarly journals A New Grey Relational Analysis Model Based on the Characteristic of Inscribed Core (IC-GRA) and Its Application on Seven-Pilot Carbon Trading Markets of China

2018 ◽  
Vol 16 (1) ◽  
pp. 99 ◽  
Author(s):  
Lihong Wang ◽  
Kedong Yin ◽  
Yun Cao ◽  
Xuemei Li
Keyword(s):  
Time Series ◽  
Sustainable Development ◽  
Carbon Price ◽  
Carbon Trading ◽  
Analysis Model ◽  
The Sustainable Development ◽  
Grey Correlation ◽  
Relational Analysis ◽  
Trading Market ◽  
Grey Relational

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.

scholarly journals Dynamic Spillovers and Asymmetric Spillover Effect between the Carbon Emission Trading Market, Fossil Energy Market, and New Energy Stock Market in China

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6438
Author(s):  
Dan Nie ◽  
Yanbin Li ◽  
Xiyu Li
Keyword(s):  
Stock Market ◽  
Carbon Emission ◽  
Spillover Effect ◽  
Emission Trading ◽  
Carbon Market ◽  
Carbon Trading ◽  
Fossil Energy ◽  
Trading Market ◽  
New Energy ◽  
Coal Market

In 2020, China proposed the goal of achieving carbon emission peaks by 2030 and carbon neutrality by 2060. For China, whose energy consumption structure has long been dominated by fossil energy, carbon trading and new energy are crucial for the realization of the emission target. By establishing a connectedness network model, this paper studies the static and dynamic spillovers between the Hubei carbon trading market, new energy stock market, crude oil market, coal market, and natural gas market in China, and draws the following conclusions: (1) the static spillover index of the carbon–energy–stock system is 3.57% and the dynamic spillover index fluctuates between 7.67% and 22.62%, indicating that the spillover effect of the system is low; (2) for the whole system, whether from a static or dynamic perspective, the carbon market always plays the role of net information receiver, while new energy is the net information transmitter; (3) the new energy stock market and the coal market always act as net information transmitters to the carbon market; and (4) the spillover effect of the system is asymmetric, wherein the system is more sensitive to negative information about price returns, and this asymmetry is much greater when the system is active.

scholarly journals Research on the construction of carbon emission model of power generation industry in Jilin province

2022 ◽  
Vol 355 ◽  
pp. 02032
Author(s):  
Weiwei Jiang ◽  
Zhiyu Song ◽  
Zhongyan Wang ◽  
Ping Guo
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Wind Power ◽  
Field Test ◽  
Carbon Emission ◽  
Thermal Power ◽  
Jilin Province ◽  
Emission Model ◽  
Forest Reserves ◽  
Installed Capacity

Although Jilin Province has abundant forest reserves and has a relatively large carbon neutral advantage compared to other provinces, the installed capacity of thermal power is still relatively high, and the installed capacity of renewable energy such as wind power, photovoltaic and hydropower is insufficient. This paper builds a carbon emission model for the power generation industry in Jilin Province based on the characteristics of the power generation industry in Jilin Province and years of field test experience.

scholarly journals Impact and Acting Path of Carbon Emission Trading on Carbon Emission Intensity of Construction Land: Evidence from Pilot Areas in China

2020 ◽  
Vol 12 (19) ◽  
pp. 7843
Author(s):  
Lu Li ◽  
Jie Dong ◽  
Yan Song
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Emission Intensity ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Emission Trading ◽  
Carbon Trading ◽  
Construction Land ◽  
Trading Market ◽  
Carbon Emission Trading

Recently, the environmental and resource crisis caused by excessive energy consumption has aroused great concern worldwide. China is a major country of energy consumption and carbon emissions, and has attempted to build a carbon emission trading market to reduce carbon emissions. This practice helps to promote the carbon trading projects for both regional carbon emission reduction and sustainable development in the pilot areas, as well as having important theoretical and practical significance for the further improvement of carbon emission trading policies. In this study, we first used the difference-in-difference (DID) model to evaluate the impact of carbon emission trading on the carbon emission intensity of construction land (CEICL). The results showed that the carbon emission trading policy can significantly reduce CEICL in the pilot areas. Furthermore, we adopted the quantile regression model to explore the mechanism and acting path of carbon emission trading on CEICL. The results show that the increase in carbon trading volume (CTV) can effectively reduce the CEICL. However, a high carbon trading price (CTP) tends to reduce the suppressing effect of carbon emission trading on CEICL. Additionally, carbon emission trading also affects CEICL through the indirect acting paths of industrial structure and energy intensity. Finally, we propose to promote regional low-carbon development from the perspective of developing a carbon emission trading market nationwide, rationalizing the carbon quota and trading price mechanism, optimizing the regional industrial structure, and improving the energy consumption structure.

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