Design of Combined Auction Model for Emission Rights of International Forestry Carbon Sequestration and Other Pollutants Based on SMRA

In this paper, the combined transactions for emission rights of international carbon sequestration and other pollutants in forestry have been taken as the research object, and the Simultaneous Multiple Round Auction (SMRA) theory has been used to design a new model for the current auction transactions. In this paper, the feasibility and application of the SMRA model of reach object are studied by the methods of simulation experiment, model analysis, and analogical analysis, and the promotion of this model is discussed. The results show that the new auction model designed in this paper fills in the blank of the combined auction of international forestry carbon sequestration and other pollutant emission rights. It successfully eliminates the winners’ curse and the losses of the sellers. Meanwhile, it provides a new way of resolving ecological deficits problems, achieving the ultimate goal of an overall reduction in carbon and pollution emission. Moreover, it’s beneficial in resolving the structural contradictions between ecological purification and pollutants discharge, hence maximizing the benefits for all the stakeholders. Finally, it is suggested that the SMRA should be adopted in the international trading of emission rights of international carbon sequestration and other pollutants to promote the emission reduction of greenhouse gases and pollutants.

Research on the Correlation Between WTI Crude Oil Futures Price and European Carbon Futures Price

In recent years, the rapid increase in CO2 concentration has accelerated global warming. As a result, sea levels rise, glaciers melt, extreme weather occurs, and species become extinct. As the world’s largest CO2 emission rights trading market, EU Emissions Trading System (EU-ETS) has reached 1.855 billion tons of quotas by 2019, influencing the development of the global carbon emission market. Crude oil, as one of the major fossil energy sources in the world, its price fluctuation is bound to affect the price of carbon emission rights. Therefore, this paper aims to reveal the correlation between crude oil futures prices and carbon emission rights futures prices by studying the price fluctuation. In this paper, the linkage between West Texas Intermediate (WTI) crude oil futures prices and European carbon futures prices was investigated. In addition, this paper selects continuous data of WTI crude oil futures prices and spot prices with European carbon futures prices from January 8, 2018 to November 27, 2020, and builds a smooth transformation regression (STR) model. The relationship between crude oil futures and carbon futures prices is studied in both forward and reversal linkage through empirical analysis. The results show that crude oil futures prices and carbon futures prices have a mutual effect on each other, and both linear and nonlinear correlations between the two prices exist. Based on the results of this research, some suggestions are provided.

Initial Allocation of SO2 Emission Rights Based on the Combination Weighting Method: Evidence from China’s Thermal Power Plants

Emission trading system is an effective market-oriented means to control pollutant emission and reasonable initial allocation of emission rights is the premise of its smooth implementation. However, at present, the initial allocation of emission rights depends largely on the amount of emissions, which leads to weak positive guidance effect for enterprises. So to explore the optimal initial allocation method of SO2 emission rights, this paper takes 8 thermal power plants in Dalian, China as the research objects to calculate the initial allocation of SO2 emission rights. Because SO2 is the main cause of acid rain, which is one of the most serious air pollution in China, and thermal power plants are among the main SO2-emitters. Firstly, an indicator system is established considering enterprise size, pollutant discharge and social contributions, as well as pollution control capacity. Then, the combination weighting method is developed through integrating the subjective methods G1 and G2 with the objective ones, entropy and maximum deviation. The empirical results show that the enterprises with more desulfurization equipment or large heating supply are supposed to get more emission rights; the actual emission value of SO2 in half of the enterprises exceeds the theoretical ones; SO2 removal rate, desulfurization equipment quantity and heating supply exert the most positive effects on the initial allocation of emission rights. The constructed model can be used as a reference for future research of initial allocation of other pollutants' emission rights. Also, the implications have been proposed for the government, industry, and enterprises.