Smart solutions for clean air: An AI-guided approach to sustainable industrial pollution control in coal-fired power plant

Lim, Juin Yau; Teng, Sin Yong; How, Bing Shen; Loy, Adrian Chun Minh; Heo, SungKu; Jansen, Jeroen; Show, Pau Loke; Yoo, Chang Kyoo

doi:10.1016/j.envpol.2023.122335

Cited by 2 publications

(1 citation statement)

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“…With the continuous deepening development of industrialization in China, industrial production needs a lot of resources and energy [1,2], along with the production and emission of large amounts of wastewater, waste gas, waste residue, especially strong toxic, harmful industrial pollutants, etc. [3,4], which will cause serious damage to the ecological environment [5]. Although the Chinese government pays great attention to sustainable development, industry pollution governance has not attracted enough attention.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Dynamic Evolution Game of Government, Enterprise and the Public to Control Industrial Pollution

Yu,

2024

Sustainability

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This paper proposes a two-party evolutionary game model of government and enterprise to solve the dilemma of industrial pollution control and explore the mode of government and enterprise collaborative governance. The local equilibrium points of the game model in four cases are calculated and analyzed, and the results show that government power alone cannot help enterprises achieve an ideal level of pollution reduction, and it is necessary to introduce public power for supervision. Based on the above, a tripartite evolutionary game model comprising the government, the public, and the enterprise is proposed. When the costs and benefits of the tripartite game players meet certain conditions, the system will evolve to a state of equilibrium (0,1,1). Following the current situation of economic development in China, the parameters of the two-party and tripartite evolutionary game are assigned, and the operating path and system’s evolution trajectory of the two-party and tripartite industrial pollution control are simulated by Matlab R2016a software. It is indicated that whether the government participates in supervision or not, an enterprise will actively control pollution under strong public supervision, which can provide feasible suggestions for the selection of industrial pollution control policies.

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