Collaborative environmental management for transboundary air pollution problems: A differential levies game

David W. K. Yeung; Yingxuan Zhang; Hongtao Bai; Sardar M. N. Islam

doi:10.3934/jimo.2019121

Article Contents

2021, Volume 17, Issue 2: 517-531. Doi: 10.3934/jimo.2019121

This issue Previous Article Next Article Hybrid social spider optimization algorithm with differential mutation operator for the job-shop scheduling problem

Collaborative environmental management for transboundary air pollution problems: A differential levies game

1.
SRS Consortium for Advanced Study in Dynamic Cooperative Games, Hong Kong Shue Yan University, Hong Kong
2.
Center of Game Theory, St Petersburg State University, St Petersburg, 198904, Russia
3.
Decision Sciences and Modelling Program, Victoria University, Australia
4.
College of Environmental Science and Engineering, Nankai University, China
5.
MOE Key Laboratory of Pollution Processes and Environmental Criteria, Nankai University, China

^* Corresponding author: David W. K. Yeung
^* Corresponding author: David W. K. Yeung

Received: May 31, 2018

Revised: May 31, 2019

Early access: October 2019

Published: March 2021

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Abstract

This paper develops a new cooperative dynamic time consistent model for studying regional air pollution management issues in a cooperative game framework for formulating pollution control policies and dynamically consistent compensation mechanisms. As air pollution is a transboundary issue, unilateral response on the part of one region is generally ineffective. Regional cooperation is essential to resolve serious environmental problems. In addition, the long-term environmental impacts are closely related to the building up existing air pollution stocks in Sulfur Dioxide (SO2), Nitrogen Dioxide (NO2), Respirable suspended particulates (RSP) and Ozone (O3). A cooperative dynamic game with different types of pollutants is developed. We characterize the non-cooperative outcomes, and examine the cooperative arrangements, group optimal actions, and individually rational imputations. In particular, an air pollution levy consisting of four components involving damage charges on emissions of sulfur dioxide, nitrogen dioxide, respirable suspended particulates and ozone depletion materials. Cooperative games offer the possibility of socially optimal and group efficient solutions to the lack of cooperation among different regions involving decision problems among strategic actors. This paper makes a valuable contribution to the literature as this is the first cooperative dynamic time consistent model for regional management of different types of air pollutants.

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Mathematics Subject Classification: Primary: 91A12, 91A35.

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