The Influence of the Spillover Punishment Mechanism Under P-MA Theory on the Balance of Perceived Value in the Intelligent Construction of Coal Mines

The objective of this paper is to examine the game-theoretic relationship between local governments and coal mining enterprises with regard to the issue of coal mine intelligent construction. Firstly, this paper employs prospect theory to construct the value perception function and the decision weight function, which are then used to optimize the parameters of the traditional income matrix. The equilibrium point is then analyzed for stability under different conditions. Subsequently, Vensim PLE and MATLAB simulation software are employed to substantiate the impact of spillover penalties and associated parameters on the value perception equilibrium of the two parties. The results of the simulation demonstrate that, in addition to the initial strategy selected, the spillover penalty exerts a considerable inhibitory effect on the process of enterprise intelligence construction. Secondly, from the perspective of value perception, the lower the costs to enterprises of carrying out intelligent construction in terms of labor and mental effort, the more enterprises are inclined to engage in this construction. The higher the costs to enterprises of complying with strict government regulation, and the lower the costs to enterprises of deregulation, the more the government can govern by non-interference. Finally, the behavioral trends of local government departments are also correlated with additional revenue they receive from firms and the factor of fines linked to government performance.

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Publication Details

Journal
Applied Sciences
Published
2025-06-06
DOI
https://doi.org/10.3390/app15126394
Primary Topic
Geoscience and Mining Technology
Type
article
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article

The Influence of the Spillover Punishment Mechanism Under P-MA Theory on the Balance of Perceived Value in the Intelligent Construction of Coal Mines

David Cliff, Jizu Li, Yanyu Guo
Applied Sciences
Geoscience and Mining Technology
article

The Influence of the Spillover Punishment Mechanism Under P-MA Theory on the Balance of Perceived Value in the Intelligent Construction of Coal Mines

David Cliff, Jizu Li, Yanyu Guo
article en

Abstract

The objective of this paper is to examine the game-theoretic relationship between local governments and coal mining enterprises with regard to the issue of coal mine intelligent construction. Firstly, this paper employs prospect theory to construct the value perception function and the decision weight function, which are then used to optimize the parameters of the traditional income matrix. The equilibrium point is then analyzed for stability under different conditions. Subsequently, Vensim PLE and MATLAB simulation software are employed to substantiate the impact of spillover penalties and associated parameters on the value perception equilibrium of the two parties. The results of the simulation demonstrate that, in addition to the initial strategy selected, the spillover penalty exerts a considerable inhibitory effect on the process of enterprise intelligence construction. Secondly, from the perspective of value perception, the lower the costs to enterprises of carrying out intelligent construction in terms of labor and mental effort, the more enterprises are inclined to engage in this construction. The higher the costs to enterprises of complying with strict government regulation, and the lower the costs to enterprises of deregulation, the more the government can govern by non-interference. Finally, the behavioral trends of local government departments are also correlated with additional revenue they receive from firms and the factor of fines linked to government performance.

Applied SciencesVol. 15(12)
The University of Queensland (AU), Taiyuan University of Technology (CN)
Openalex Percentile: Top 85%
Geoscience and Mining Technology
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The Influence of the Spillover Punishment Mechanism Under P-MA Theory on the Balance of Perceived Value in the Intelligent Construction of Coal Mines — David Cliff, Jizu Li, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS