Research on Ecological Compensation Mechanism for Energy Economy Sustainable Based on Evolutionary Game Model
Abstract
:1. Introduction
2. Materials and Methods
2.1. Establishment of Evolutionary Game Model
2.1.1. Participants and Strategy Selection
2.1.2. Model Assumptions
2.1.3. Model Derivation
2.2. Accounting Method of Ecological Compensation (P)
2.2.1. Layout of Monitoring/Sampling Points
2.2.2. Test Items and Methods
2.2.3. Test Instrument Selection
2.2.4. Design of Ecological Compensation of Coal Resources Mining
3. Results
3.1. Equilibrium Points and Strategy Selection of Evolutionary Game Model
3.2. Calculation of Ecological Compensation for Coal Resource Development
3.2.1. The Impact of Coal Resource Development on the Atmospheric Environment
3.2.2. The Impact of Coal Resource Development on the Soil and Surface Subsidence
3.2.3. The Impact of Coal Resource Development on the Water
4. Discussion
4.1. Analysis of Parameters and Results in Evolutionary Game Model
4.1.1. Analysis of Parameters
4.1.2. Analysis of Evolutionary Game Results
4.2. Equilibrium Results of Game Model in Specific Cases
5. Conclusions
5.1. Ecological Compensation Types
5.1.1. Resource Depletion Compensation Mechanism
5.1.2. Environmental Restoration Compensation Mechanism
5.2. Ecological Compensation Threshold
5.2.1. Strictly Implement the Elimination Mechanism of Declining Industries
5.2.2. Promote Technological Innovation Compensation Mechanism
5.2.3. Weaken the Government Subsidy Mechanism and Strengthen the Initiative of Enterprise for Ecological Compensation
5.2.4. Rely on Non-Governmental Organizations to Enlarge the Social Benefits Brought by Government Regulation
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Government | Enterprises | |
---|---|---|
Cooperation | Non-Cooperation | |
Regulation | (B-C, R+S-D) | (P-B-C, -P) |
Non-regulation | (0, S-D) | (0, 0) |
Equilibrium Points | Value of Determinant | Sign Characteristics | Trace of Matrix | Sign Characteristics | Stability |
---|---|---|---|---|---|
(0, 0) | (B+C)(D-S) | + | −(B+C+D-S) | − | ESS |
(0, 1) | (B-C-P)(D-S) | + | B-C-P+D-S | + | Instable |
(1, 0) | (B+C)(R-P+S-D) | + | B+C+R-P+S-D | + | Instable |
(1, 1) | (B-C-P)(R-P+S-D) | + | −(B-C-P+R-P+S-D) | − | ESS |
(x*, y*) | (B+C)(D-S) (B-C-P)(R-P+S-D)/ (2B-P)(R-P) | + | 0 | 0 | Saddle-point |
Monitoring Points | Concentration Range | Single Factor Index | Number of Monitoring |
---|---|---|---|
Mining East | 0.018–0.042 | 0.036–0.084 | 28 |
Gangue hillside | 0.037–0.052 | 0.064–0.104 | 28 |
Mining West | 0.014–0.037 | 0.028–0.074 | 28 |
Years | Collapse Depth (mm) | |||
---|---|---|---|---|
10–1500 | 1500–3000 | 3000–5000 | >5000 | |
2013 | 5,918,660.59 | 873,725.24 | 457,703.63 | 1,012,279.10 |
2015 | 7,481,752.09 | 1,543,751.71 | 1,041,739.20 | 1,280,927.35 |
2017 | 7,427,833.44 | 1,943,836.27 | 1,497,840.37 | 1,830,113.19 |
2019 | 9,093,214.39 | 1,964,655.57 | 1,575,652.78 | 2,400,149.78 |
2020 | 8,708,807.66 | 2,174,142.65 | 2,265,369.82 | 2,804,318.26 |
Finally | 8,762,543.81 | 2,251,783.35 | 2,193,314.57 | 3,001,731.36 |
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Qin, Y.; Wang, W. Research on Ecological Compensation Mechanism for Energy Economy Sustainable Based on Evolutionary Game Model. Energies 2022, 15, 2895. https://doi.org/10.3390/en15082895
Qin Y, Wang W. Research on Ecological Compensation Mechanism for Energy Economy Sustainable Based on Evolutionary Game Model. Energies. 2022; 15(8):2895. https://doi.org/10.3390/en15082895
Chicago/Turabian StyleQin, Yingbo, and Wenping Wang. 2022. "Research on Ecological Compensation Mechanism for Energy Economy Sustainable Based on Evolutionary Game Model" Energies 15, no. 8: 2895. https://doi.org/10.3390/en15082895
APA StyleQin, Y., & Wang, W. (2022). Research on Ecological Compensation Mechanism for Energy Economy Sustainable Based on Evolutionary Game Model. Energies, 15(8), 2895. https://doi.org/10.3390/en15082895