Yao Qi, Li Yanhui, Gao Huan
Management School, Wuhan College, Wuhan, Asia, China.
School of Information Management, Central China Normal University, Wuhan, Asia, China.
PLoS One. 2025 Jun 2;20(6):e0323564. doi: 10.1371/journal.pone.0323564. eCollection 2025.
The carbon emission management and resource allocation optimization of dual-channel supply chain are of great significance for promoting low-carbon economy and improving supply chain efficiency. In contrast to conventional game theory, Quantum game theory can describe the cooperation and competition of online and offline channels more flexibly through quantum entanglement, so as to overcome the limitations of traditional game theory. We study the application of quantum game theory in low-carbon economy and pricing strategies, and explore how to optimize pricing strategies and improve the low-carbon levels under different entanglement. Therefore, considering consumers' preference for low-carbon products, this paper establishes a quantum game model to encourage low-carbon actions in the dual-channel supply chain. We discuss three models of centralized decision making, decentralized decision and quantum equilibrium, and analyze the optimal strategies of manufacturers under different entanglement. The results show that quantum game theory has significant advantages in low-carbon dual-channel supply chains. With the increase of quantum entanglement, the low-carbon production level and corporate profitability in the supply chain have been significantly improved, especially under the decentralized decision-making framework, quantum game equilibrium can promote low-carbon behavior and improve profits more than traditional game models. When the degree of entanglement approaches infinity, the total profit of supply chain enterprises using quantum strategy exceeds the profit of supply chain enterprises with centralized decision-making. It is important to note that quantum entanglement can significantly reduce the optimal wholesale and online sales prices for manufacturers. At the same time, the impact of quantum game on manufacturers' decision-making is more significant than that on retailers, indicating that quantum entanglement shows different sensitivities in influencing the pricing and profitability strategies of different supply chain participants. This finding provides a new theoretical perspective and practical guidance for pricing strategies, firm cooperation and competition in low-carbon supply chains.
双通道供应链的碳排放管理与资源分配优化对于推动低碳经济和提高供应链效率具有重要意义。与传统博弈论相比,量子博弈论能够通过量子纠缠更灵活地描述线上和线下渠道的合作与竞争,从而克服传统博弈论的局限性。我们研究量子博弈论在低碳经济和定价策略中的应用,并探索如何在不同纠缠情况下优化定价策略和提高低碳水平。因此,考虑到消费者对低碳产品的偏好,本文建立了一个量子博弈模型,以鼓励双通道供应链中的低碳行动。我们讨论了集中决策、分散决策和量子均衡三种模型,并分析了不同纠缠情况下制造商的最优策略。结果表明,量子博弈论在低碳双通道供应链中具有显著优势。随着量子纠缠的增加,供应链中的低碳生产水平和企业盈利能力得到显著提高,特别是在分散决策框架下,量子博弈均衡比传统博弈模型更能促进低碳行为并提高利润。当纠缠度接近无穷大时,采用量子策略的供应链企业的总利润超过集中决策的供应链企业的利润。需要注意的是,量子纠缠可以显著降低制造商的最优批发价格和在线销售价格。同时,量子博弈对制造商决策的影响比对零售商的影响更大,这表明量子纠缠在影响不同供应链参与者的定价和盈利策略方面表现出不同的敏感性。这一发现为低碳供应链中的定价策略、企业合作与竞争提供了新的理论视角和实践指导。