Evolutionary game analysis for third-party governance of environmental pollution

• Published in: Journal of ambient intelligence and humanized computing Vol. 10; no. 8; pp. 3143 - 3154
• Main Authors: Xu, Ran, Wang, Yanrong, Wang, Wenbin, Ding, Yongxin
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2019; Springer Nature B.V
• Subjects: Artificial Intelligence; Carbon; Computational Intelligence; Cooperation; Emissions trading; Engineering; Environmental policy; Environmental protection; Equilibrium; Game theory; Local government; Moral hazard; Original Research; Pollutants; Pollution control; Qualitative research; Robotics and Automation; Simulation; Third party; User Interfaces and Human Computer Interaction; Beijing China; China; Evolutionary game; System dynamics; Environmental pollution; Third-party governance

Environmental pollution in China presents complex features include regional, agglomeration, periodicity, diversity and multiple. The government-led environmental pollution control mode has been unable to adapt to the current grim situation, so the inevitable trend of the development of Chinese envir...