Initial Allocation Model of CO2 Emission Allowances Based on the Equity-Efficiency Tradeoff

2020 ◽  
pp. 2050048
Author(s):  
Chen Liyun ◽  
He Yuan ◽  
Li Guang ◽  
Li Caixia ◽  
Ren Jiqin
Keyword(s):  
Maximum Efficiency ◽  
Carbon Intensity ◽  
Allocation Scheme ◽  
Allocation Model ◽  
Emission Allowance ◽  
Initial Allocation ◽  
Model Combining ◽  
Equity Principle ◽  
Zero Sum ◽  
Desirable And Undesirable Outputs

Reasonably and fairly allocating carbon intensity reduction targets among Chinese provinces is a key problem in effectively controlling and reducing CO2 emissions. This study establishes the ZSG-DDF model combining the Zero-Sum Gains DEA and the Directional Distance Function to study the CO2 emission allowance allocations from the perspective of maximum efficiency. This model can discriminate desirable and undesirable outputs and solve the problem of total CO2 emission amount control. Then, we add the equity principle to the constraint conditions, namely, the proportion of carbon emission allowance approaching the proportion of GDP. Finally, we establish a CO2 emission allocation scheme based on the equity-efficiency tradeoff while considering the relationship between economic development and carbon emissions as well as achieving maximum efficiency. We use this new model to allocate CO2 emission allowance during the Chinese 13th Five-Year Plan, and compare it with the other two allocation schemes, including National allocations during the 13th Five-Year Plan, allocation scheme from the perspective of efficiency maximization. The results have a certain significance for government departments to formulate the allocation scheme of CO2 emission allowance.

The Regional Initial Allocation Model of Carbon Emissions Permits in Power Industry

2013 ◽  
Vol 869-870 ◽  
pp. 399-403
Author(s):  
Yong Chen ◽  
Ji Gan Wang ◽  
Jie Zhang ◽  
Chuan Yu Liu ◽  
Shu Shu Huang
Keyword(s):  
Carbon Emissions ◽  
Carbon Emission ◽  
Technology Policy ◽  
Power Industry ◽  
Allocation Model ◽  
Initial Allocation ◽  
Primary Object ◽  
The Index System ◽  
Index Value ◽  
Regional Allocation

As the biggest carbon emitters, the power industry is the primary object to reduce its emissions. The construction of power industry carbon emissions of regional initial allocation model can make the development of power industry meets the new requirements of reducing the carbon emission, which has important theoretical significance and practical value. The index system of carbon emissions permits regional allocation was established, which included 5 factors-economy, technology, policy, carbon emissions and energy efficiency. Based on the projection method, considered the characteristics of multiple-goal of carbon emission permits allocation and precision of index value, the projection interval multi-objective allocation method was put forward. East China carbon emission allocation in power industry was taken as an example. The result shows that the model can be more rational, scientific to provide a theoretical reference for regional allocation of electric carbon emissions.

The Study on Initial Allocation of Water Rights in China

2014 ◽  
Vol 641-642 ◽  
pp. 123-126
Author(s):  
Qian Zhang ◽  
Jun Ying Jin ◽  
Da Ke Wang ◽  
Lin Qin
Keyword(s):  
Water Rights ◽  
Water Law ◽  
Initial Water ◽  
Allocation Model ◽  
Initial Allocation ◽  
Model Research ◽  
Current Water ◽  
Water Rights Market ◽  
At Home

Generally, water rights are based on the water law that applies in a particular country and, at their most basic, are classified as land-based or use-based rights.This study mainly analyzed current water rights trading in our country through summarizing the connotation of water rights at home and abroad, on the basis of analysis and comparison of the initial water rights allocation related models, at the same time, pointed out the importance by analysis of the initial water rights allocation model research, which is helpful to the initial water rights allocation for water rights market benign development.

Study on Task Allocation Model of Forest Fire Fighting

2012 ◽  
Vol 457-458 ◽  
pp. 1129-1136
Author(s):  
Fa Lin Liu ◽  
Li Juan Wang
Keyword(s):  
Forest Fire ◽  
Information Entropy ◽  
Task Allocation ◽  
Ant Colony Algorithm ◽  
Optimal Allocation ◽  
Entropy Method ◽  
Fire Fighting ◽  
Allocation Scheme ◽  
Allocation Model ◽  
The Core

Firefighting task allocation is the core of the forest fire fighting programs. Making use of information entropy method, combined with the fire brigades, fire fighting capability, difficulty and other factors, an analysis in the priority under the conditions of multiple fire sites and fire lines is made, so as to build up fire fighting mission efficient matrix and determine the optimal allocation scheme by using ant colony algorithm. The practice shows that this task allocation model for forest fire fighting under multiple fire sites situation is feasible and practical.

An Urban Allocation Model Combining Time Series and Analytic Hierarchical Methods

1984 ◽  
Vol 30 (2) ◽  
pp. 198-208 ◽  
Author(s):  
Thomas Cook ◽  
Paul Falchi ◽  
Reynaldo Mariano
Keyword(s):  
Time Series ◽  
Allocation Model ◽  
Model Combining

scholarly journals Collaborative Allocation of Energy Consumption, Air Pollutants and CO2 Emissions in China

2021 ◽  
Vol 13 (16) ◽  
pp. 9443
Author(s):  
Jiekun Song ◽  
Rui Chen ◽  
Xiaoping Ma
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Co2 Emissions ◽  
Air Pollutants ◽  
Emission Reduction ◽  
Optimal Allocation ◽  
Gdp Growth ◽  
Allocation Scheme ◽  
Dea Model ◽  
Initial Allocation

Energy consumption is an important source of the emissions of CO2 and air pollutants such as SO2 and NOX. Reducing energy consumption can realize the simultaneous reduction of air pollutants and CO2 emissions to a certain extent. This study examines the collaborative allocation of energy consumption and the emissions of SO2, NOX and CO2 in China. In contrast to previous studies, this paper proposes an improved centralized DEA model that takes into account the correlation between energy consumption and air environmental emissions, the economic development demand and the energy resource endowment of different provinces. The initial allocation scheme is obtained based on the principle of equity. Then, the initial allocation results are brought into the improved centralized DEA model to maximize the expected output. The empirical analysis of projected data for 2025 shows that the looser the restrictions of energy consumption, the greater the optimal economic output. When the energy consumption of each province is allowed to fluctuate within the range of 85% to 115% of the initial quota, the total GDP is the largest and 20.62% higher than the initial GDP. The optimal allocation scheme is more equitable than the initial scheme and realizes absolute interpersonal equity and economic equity. Eighteen provinces bear the pressures of energy saving, emission reduction or GDP growth, with average pressure indexes of 11.46%, 16.85% and 40.62%, respectively. The pressures on the major regions involved in the “Belt and Road”, Beijing-Tianjin-Hebei region and Yangtze River Economic Belt national strategies will thus be reduced significantly; the maximum pressures on energy saving, emission reduction and GDP growth are 10.03%, 12.17% and 29.84%, respectively. China can take a series of measures to promote regional coordinated development and improve the realization of optimal allocation schemes, including establishing unified resource asset trading platforms, improving the methods of regional cooperation, building effective transportation and logistics transport networks to weaken the barriers among regions and implementing differentiated regional policies and regional interest coordination mechanisms.

scholarly journals Performance Comparing and Analysis for Slot Allocation Model

2019 ◽  
Author(s):  
ZhiJian Ye ◽  
YanWei Li ◽  
JingTing Bai ◽  
Xinxin Zheng
Keyword(s):  
Integer Programming ◽  
Decision Maker ◽  
Programming Model ◽  
Allocation Scheme ◽  
Slot Allocation ◽  
Allocation Model ◽  
Average Displacement ◽  
Linear Integer Programming ◽  
Key Factor ◽  
Difficulty Index

The purpose of this study was to ascertain the effect of weight setting of objectives on displacement and implementation difficulty in slot allocation model. A linear integer programming model including three kinds of evaluation objectives with different weight is designed to compare and analysis displacement and implementation difficulty in slot allocation model. The average difficulty is very sensitive to the average displacement. The difficulty of implementation can be significantly reduced by weight setting with a little increase of displacement. Movements list descent according to priority or not have great impact on displacement and implementation difficulty in slot allocation model. Capacity is a key factor affecting displacement and implementation difficulties. The difficulty index proposed in this work is very useful in identifying which slot allocation scheme is better for decision maker. Our research can promote regulator to upgrade slot allocation policies.

scholarly journals A Novel Binary Slime Mould Algorithm with AU Strategy for Cognitive Radio Spectrum Allocation

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Ling Li ◽  
Tien-Szu Pan ◽  
Xiao-Xue Sun ◽  
Shu-Chuan Chu ◽  
Jeng-Shyang Pan
Keyword(s):  
Cognitive Radio ◽  
Radio Spectrum ◽  
Spectrum Allocation ◽  
The Novel ◽  
Allocation Scheme ◽  
Network Resources ◽  
Allocation Model ◽  
Slime Mould ◽  
Radio Technology ◽  
Cognitive Radio Technology

AbstractSpectrum has now become a scarce resource due to the continuous development of wireless communication technology. Cognitive radio technology is considered to be a new method to solve the shortage of spectrum resources. The spectrum allocation model of cognitive radio can effectively avoid the waste of spectrum resources. A novel binary version of slime mould algorithm is proposed for the spectrum allocation model to solve the spectrum allocation scheme. In addition, adding unselected factors strategy can make the approach find a better solution. Compared with other algorithms, the novel binary slime mould algorithm and the strategy of adding unselected factors proposed in this paper have a good performance in spectrum allocation. The resulting spectrum allocation scheme can achieve efficient use of network resources.

scholarly journals A New Method of Command and Guide the Unbalanced Distribution of Target

2018 ◽  
Vol 214 ◽  
pp. 03001
Author(s):  
Yangyang Gao ◽  
Minjian Yu ◽  
Hanghang You ◽  
Huiming Ji
Keyword(s):  
Real Time ◽  
Computation Time ◽  
New Method ◽  
Allocation Scheme ◽  
Allocation Model ◽  
The Real ◽  
Hungarian Algorithm ◽  
Air Combat ◽  
Simulation Results ◽  
Target Allocation

In the process of air combat implementation, the real-time command and guidance of air pilot is the key element of air combat irreplaceable. In this paper, a multi-aircraft air combat command and guidance target allocation model is established based on the actual air combat situation. The unbalanced target allocation problem of multi-aircraft air combat command and guidance is studied by combining Hungarian algorithm and evolutionary Hungarian algorithm. Finally, two cases of increasing aircraft number and decreasing aircraft number are simulated and studied. Simulation results show that the method can shorten the computation time and ensure the overall command and guidance advantages of the target allocation scheme effectively.

scholarly journals Study of the Allocation of Regional Flood Drainage Rights in Watershed Based on Entropy Weight TOPSIS Model: A Case Study of the Jiangsu Section of the Huaihe River, China

2020 ◽  
Vol 17 (14) ◽  
pp. 5020
Author(s):  
Kaize Zhang ◽  
Juqin Shen ◽  
Han Han ◽  
Jinglai Zhang
Keyword(s):  
Sustainable Development ◽  
Evaluation Model ◽  
Indicator System ◽  
Allocation Scheme ◽  
Huaihe River ◽  
Entropy Weight ◽  
Allocation Model ◽  
Order Preference ◽  
The Huaihe River ◽  
Topsis Model

During the flood season, various regions in a watershed often have flood drainage conflicts, when the regions compete for flood drainage rights (FDR). In order to solve this problem, it is very necessary to study the allocation of FDR among various regions in the watershed. Firstly, this paper takes fairness, efficiency and sustainable development as the allocation principles, and comprehensively considers the differences of natural factors, social development factors, economic development factors and ecological environment factors in various regions. Then, an indicator system for allocation of FDR among regions in the watershed is established. Secondly, an entropy weight Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) model is used to construct the FDR allocation model among regions in the watershed. Based on a harmony evaluation model, a harmony evaluation and comparison are carried out on the FDR allocation schemes under three different allocation principles. Finally, taking the Jiangsu section of the Huaihe River watershed as an example, the FDR of eight cities in the watershed are allocated and evaluated to see if the allocation scheme is harmonious. The results show that the allocation scheme of FDR based on the principles of fairness, efficiency and sustainable development has the highest degree of harmony, which can meet the FDR demands in various regions in the watershed, avoid the occurrence of flood drainage conflicts among regions, form an orderly flood drainage situation and promote the harmonious development of the watershed.

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