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A Cost Allocation Decision Model for Air Pollution Control
Dong-Sheng Qin1, Chang-Yuan Gao1
1Harbin University of Science and Technology, Harbin, China.
This study introduces a fair cost allocation model for air pollution control projects using the Shapley value. This approach reduces costs and risks for stakeholders, maximizing overall social benefits.
Area of Science:
- Environmental Science
- Environmental Management
- Public Policy
Background:
- Air pollution control necessitates effective cost allocation strategies.
- Existing methods may not adequately address stakeholder fairness.
- Coordinated governance is crucial for atmospheric pollution mitigation.
Purpose of the Study:
- To develop a fair cost allocation model for air pollution control projects.
- To identify core stakeholders in pollution governance.
- To establish a collaborative governance framework for atmospheric pollution.
Main Methods:
- Utilizing the Shapley value for cost allocation.
- Analyzing stakeholder contributions and benefits.
- Developing a governance cost allocation model.
Main Results:
- The Shapley value-based model provides a more reasonable cost distribution.
- Stakeholder costs are reduced through equitable allocation.
- Participant risks are minimized, enhancing project viability.
Conclusions:
- The Shapley value model offers an equitable and efficient solution for air pollution control costs.
- This approach enhances collaboration and maximizes social benefits in environmental governance.
- Fair cost allocation is key to successful coordinated air pollution mitigation efforts.
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