Tripartite Evolutionary Game Analysis of Green Coal Mining: Insights from Central Environmental Protection Inspection
Year: 2024
Type: article
Abstract: This paper constructs an evolutionary game model involving the “central government–local government–coal enterprises” to explore the impact mechanism of central environmental protection inspection on green coal mining. By analyzing the strategic behaviors of the key actors, this study identifies critical factors that influence their decisions. System simulations are conducted to assess the effects of key parameters on system stability and convergence. The findings indicate the following: (1) Increasing inspection costs weaken the central government’s support for green mining, with excessive costs potentially causing regulatory fatigue. Moderating inspection investments is key to sustaining long-term effectiveness. (2) Higher penalties for local governments improve the enforcement of green mining policies, particularly in the mid-term, showing that stringent penalties are an effective regulatory tool. (3) Lower technical costs and greater economic incentives encourage coal enterprises to adopt green mining practices, highlighting the role of innovation and profitability in driving green transitions. (4) Central government subsidies enhance local governments’ short-term enforcement but may lead to dependence if overused. Balanced subsidy policies are essential for sustained policy implementation at the local level. Based on these findings, the paper proposes policy recommendations to improve inspection mechanisms, optimize policy tools, and establish a collaborative regulatory system to ensure the long-term effectiveness of green coal mining.
Source: Sustainability
DOI: 10.3390/su162411300
Authors: Shaohui Zou, Jiahang Xie
Institution: Xi'an University of Science and Technology
Language: English
Subfield: Strategy and Management
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,728
Award: G2387215934
OpenAlex ID: W4405706665