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

<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>

Information Efficiency of the European CO2 Trading Market in the Period 2008-2021

This work examined the information efficiency of the European CO2 trading market for the period 2008-2021. The analysis is based on the singular value decomposition (SVD) approach and the task is to test whether the dynamics of logarithmic price differences are consistent with a random process. The results showed that the information efficiency changes over time and scales, which is in line with adaptive market hypothesis notions. High market efficiency was exhibited in Phase II (2008-2012), but large deviations from efficiency, especially for quarterly scale, were exhibited in Phase III. However, Phase IV has shown a behavior that is consistent with the information efficiency. The findings in the present study suggest that the European carbon market is gradually attaining a state of financial maturity.

Bidding Agents for PV and Electric Vehicle-Owning Users in the Electricity P2P Trading Market

As the world strives to decarbonize, the effective use of renewable energy has become an important issue, and P2P power trading is expected to unlock the value of renewable energy and encourage its adoption by enabling power trading based on user needs and user assets. In this study, we constructed a bidding agent that optimizes bids based on electricity demand and generation forecasts, user preferences for renewable energy (renewable energy-oriented or economically oriented), and owned assets in a P2P electricity trading market, and automatically performs electricity trading. The agent algorithm was used to evaluate the differences in trading content between different asset holdings and preferences by performing power sharing in a real scale environment. The demonstration experiments show that: EV-owning and economy-oriented users can trade more favorably in the market with a lower average execution price than non-EV-owning users; forecasting enables economy-enhancing moves to store nighttime electricity in batteries in advance in anticipation of future power generation and market prices; EV-owning and renewable energy-oriented users can trade more favorably in the market with other users. EV-owning and renewable energy-oriented users can achieve higher RE ratios at a cost of about +1 yen/kWh compared to other users. By actually issuing charging and discharging commands to the EV and controlling the charging and discharging, the agent can control the actual use of electricity according to the user’s preferences.

Influence of Perceived Risk of Blockchain Art Trading on User Attitude and Behavioral Intention

In the first half of 2020, the average sales volume of gallery operators declined due to the COVID-19 pandemic and art galleries faced a crisis relating to their sustainable operation. However, crypto art finance, which combines online sales with blockchain, is attracting a considerable amount of attention. Can the use of blockchain solve the problems encountered in today’s art trading market? Is it considered acceptable by participants in the art trading market? What factors affect the behavioral intentions of blockchain technology users? In this study, we discussed the relationship between perceived risks and the three external variables of trust, government support, and auction house initiative, as well as their impacts on user attitudes and behavioral intentions regarding blockchain. The results of this study verified key factors that will help to increase the use of blockchain and solve existing market issues. It will also promote the sustainable operation and development of art enterprises and the market.