关键词: 工业碳排放, 环境正义, 治理机制, 演化博弈

Abstract: Exploring the governance mechanisms of industrial carbon emissions in heavy industrial zones under the background of ecological civilization construction is of great significance to achieve the goal of ‘double carbon' and environmental justice. With Liaoning heavy industrial zones as an example, we constructed a tripartite evolutionary game model of local government, industrial enterprises and third-party verification institutions. We examined the key factors affecting the strategic choice of industrial carbon emission tripartite stakeholders. The strategic choices of three stakeholders under different equilibrium points were simulated, and the industrial carbon emission governance mechanisms were constructed. The results showed that the stakeholder strategy choices of industrial carbon emissions under different equilibrium circumstances in the study area were in line with the reality and ideal respectively. In different equilibrium situations of tripartite stakeholder game, local governments, and third-party verification institutions played a leading role in the strategic choices of carbon emissions in different stable equilibrium circumstances. Policy subsidies, fines for violations, emission reduction costs, verification costs and regulatory costs were the key factors influencing the evolutionary game among the three stakeholders of industrial carbon emissions in the study area. Combined with the key influencing factors of industrial carbon emissions, the governance mechanisms of industrial carbon emissions in the study area were constructed from four aspects: innovation mechanism, constraint mechanism, market mechanism, and reverse forcing mechanism. Improving the balanced distribution of industrial carbon emission benefits in the study area amd promoting cooperation among the three parties would help realize environmental justice under the game of industrial carbon emission stakeholders.

Key words: industrial carbon emission, environmental justice, governance mechanism, evolutionary game