稀土产业链上游采选、冶炼企业协同生态创新演化博弈研究

    Research on the evolutionary game of collaborative eco-innovation of rare earth industry chain upstream extracting and smelting enterprises

    • 摘要: 稀土采选冶炼过程会导致大量的“三废”环境污染问题,增强上游环节的采选企业和冶炼企业的协同生态创新能力是实现我国稀土产业低碳化、绿色化和高质量发展的关键。本文基于演化博弈理论,构建政府规制下的稀土产业链上游采选企业和冶炼企业间的协同生态创新演化博弈模型,分析双方的协同生态创新动态演化过程及其博弈均衡策略,并进行仿真分析。研究结果表明:生态创新的收益越高且成本越低,越有助于稀土采选企业和冶炼企业采取协同生态创新行为策略;“搭便车”收益会对稀土采选企业和冶炼企业的协同生态创新产生负向影响;存在一个最佳的协同生态创新收益分配系数,使采选企业和冶炼企业采取协同生态创新行为策略的概率最大;政府实施奖惩机制可以提高采选企业和冶炼企业参与生态创新的积极性,并减少“搭便车”行为;同时,提高采选企业和冶炼企业生态创新的成本补贴和对其“搭便车”行为的惩罚力度,可以加快演化博弈系统向协同生态创新方向收敛的速度。

       

      Abstract: Rare earth extracting and smelting process will produce a large number of “three wastes” environmental pollution problems, enhance the collaborative eco-innovation ability of the upstream link of the extracting and smelting enterprises is the key to realize the low-carbon, green and high-quality development of China’s rare earth industry. Based on the evolutionary game theory, this paper constructs a collaborative eco-innovation evolutionary game model between the upstream extracting and smelting enterprises in the rare earth industry chain under government regulation, analyzes the dynamic evolution process of collaborative eco-innovation between the two parties and their game equilibrium strategies, and carries out simulation analysis. The results of the study show that the higher the benefits and the lower the costs of eco-innovation, the more helpful to rare earth extracting and smelting enterprises to adopt collaborative eco-innovation behavioral strategies; “free-riding” benefits will have a negative impact on the collaborative eco-innovation of rare earth extracting and smelting enterprises; there exists an optimal collaborative eco-innovation benefit distribution coefficient, enables an optimal benefit distribution coefficient for collaborative eco-innovation, which maximizes the probability that the extracting and smelting enterprises will adopt collaborative eco-innovation behavioral strategies; the government’s implementation of the incentive and punishment mechanism can increase the motivation of the extracting and smelting enterprises to participate in eco-innovation and reduce the “free-riding” behaviors. At the same time, increasing the cost subsidies for eco-innovation and the punishment for “free-riding” behavior of the extracting and smelting enterprises can accelerate the convergence of the evolutionary game system towards cooperative eco-innovation.

       

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