Allocation Model of Carbon Emission Permits for the Electric Power Industry with a Combination Subjective and Objective Weighting Approach

Abstract

The electric power industry plays a vital role in carbon emissions reduction efforts. The initial allocation of carbon emission permits to the electric power industry is the key to ensuring the effective operation of the carbon trading market. In this study, the multiple correlated factors that affect the carbon emission permit allocation system were extracted. Then, based on the experts’ knowledge and experience, the subjective weight of each index was determined using an improved analytic hierarchy process. Subsequently, the indices were mapped using an improved entropy weight method, and the objective weight of each index was adaptively determined. Finally, the comprehensive weight of each index was determined by optimizing the combination of its subjective and objective weights, and an allocation model of carbon emission permits for the electric power industry was established. A case study of a province by comparative simulation was performed. The simulation results showed that compared with conventional allocation schemes that consider single factors, the theoretical estimates obtained using the proposed model more objectively reflected the actual situation of carbon emissions reduction permits and responsibilities in the region.

An Improved Power Quality Evaluation for LED Lamp Based on G1-Entropy Method

“…Entropy is a function that describes the state of a system and illustrates the system's development mechanism and hierarchy. The higher the entropy value, the less knowledge the machine possesses and the lower the indicator weight [38]. In contrast, the more deterministic the system, the more detail available and the higher the predictor weight.…”

“…In contrast, the more deterministic the system, the more detail available and the higher the predictor weight. The entropy method is an objective weighting method [38] that uses the actual data of the collected indicators to determine the weight of the evaluation indicators [39], [40]. The entropy weighting method is used in this paper to apply weights to secondary indices of harmonic evaluation, and the basic measures are as follows.…”

Modeling Interprovincial Cooperative Carbon Reduction in China: An Electricity Generation Perspective

“…That is to say, an effective policy should embody the two fundamental principles: efficiency and fairness, which are reflected in the UNFCCC principle of "common but differentiated responsibilities. Cooperation and Development (OECD), 2008;Ding et al, 2010), and many researchers put forward a number of provincial allocation proposals on carbon-emission reduction target for China (Yu et al, 2014;Hao et al, 2015;Miao et al, 2016;Dong et al, 2018;Wang et al, 2018;Pan et al, 2020;Wen and Wang, 2020). Based on the efficiency principle, a few policy instruments or management programs are explored and designed, such as tradable carbon emission permits (Chang and Wang, 2010;Zhou et al, 2013;Zhao et al, 2018;Tan et al, 2019;Zheng et al, 2020;Foramitti et al, 2021), carbon tax (Mori, 2012;Ouchida and Goto, 2014;Zhao et al, 2018), policies to promote household carbon reduction (Bore et al, 2018), and policies facilitating inter-firm collaborations on carbon reduction (Dong et al, 2014;.…”

Integration of Fuzzy Matter-Element Method and 3D-QSAR Model for Generation of Environmentally Friendly Quinolone Derivatives

“…The weight determination methods include a subjective weighting approach and objective weighting approach [34]. The subjective weighting approach in this paper uses the empirical method and the objective weighting approach uses the entropy method.…”