政府补贴与低碳偏好下动力电池回收工程闭环供应链博弈决策与优化研究
Research on Game Decision and Optimization of Closed Loop Supply Chain for Power Battery Recycling Engineering under Government Subsidies and Low Carbon Preferences
摘要: 在消费者低碳偏好日益增强、供应链管理决策优化需求凸显的背景下,基于博弈决策理论构建电池制造商(模型M)、电池零售商(模型R)和第三方回收商(模型T)分别作为回收主体的动力电池回收工程闭环供应链模型,探究政府补贴、消费者低碳偏好双重因素对供应链运营决策及效益的影响。研究表明:(1) 不同回收决策模型中,供应链整体碳排放、制造商碳减排投资水平以及回收努力程度都随消费者低碳偏好的增加而提升;(2) 政府补贴与消费者低碳偏好共同调控供应链决策模型选择及利润表现,在消费者低碳偏好较低及中等区间,政府补贴提升可显著助推制造商回收模型利润增长,该场景下最优决策为选取制造商回收模式;在消费者低碳偏好较高区间,无论政府补贴如何调整,第三方回收模型的供应链整体利润均显著优于其他模型,为最优管理决策方案。
Abstract: Against the backdrop of growing consumer low-carbon preferences and prominent demands for optimization of supply chain management decisions, this paper constructs closed-loop supply chain models of power battery recycling project with battery manufacturers (Model M), battery retailers (Model R) and third-party recyclers (Model T) serving as recycling entities respectively based on game decision theory. It explores the impacts of two factors, namely government subsidies and consumer low-carbon preferences, on the operational decisions and benefits of the supply chain. The results show that: (1) In different recycling decision models, the overall carbon emissions of the supply chain, manufacturers’ carbon emission reduction investment level and recycling effort all rise with the increase in consumer low-carbon preferences; (2) Government subsidies and consumer low-carbon preferences jointly regulate the selection of supply chain decision models and profit performance. When consumer low-carbon preferences are at low and medium levels, the increase of government subsidies can significantly boost the profit of the manufacturer-led recycling model, making this recycling mode the optimal choice. When consumer low-carbon preferences are high, the overall supply chain profit of the third-party recycling model is significantly higher than that of other models regardless of changes in government subsidies, which serves as the optimal management decision scheme.
文章引用:冯敏, 黄美琳. 政府补贴与低碳偏好下动力电池回收工程闭环供应链博弈决策与优化研究[J]. 管理科学与工程, 2026, 15(5): 1022-1035. https://doi.org/10.12677/mse.2026.155099

参考文献

[1] 姚锋敏, 闫颍洛, 刘珊, 等. 政府补贴下考虑CSR投入的闭环供应链回收及定价决策[J]. 运筹与管理, 2021, 30(6): 69-76.
[2] 张川, 陈宇潇. 政府补贴下考虑规模效应的动力电池梯次利用闭环供应链决策与协调[J]. 运筹与管理, 2021, 30(12): 72-77+91.
[3] Zhang, M., Wu, W. and Song, Y. (2023) Study on the Impact of Government Policies on Power Battery Recycling under Different Recycling Models. Journal of Cleaner Production, 413, Article 137492.
https://doi.org/10.1016/j.jclepro.2023.137492
[4] 武文琪, 张明. 补贴政策下动力电池闭环供应链定价与协调策略[J]. 工业工程与管理, 2024, 29(5): 147-158.
[5] 陈宇科, 童欣. 政府补贴对动力电池再生利用技术创新的激励效应[J]. 重庆师范大学学报(自然科学版), 2024, 41(4): 68-83.
[6] 武丹, 杨玉香. 考虑消费者低碳偏好的供应链减排微分博弈模型研究[J]. 中国管理科学, 2021, 29(4): 126-137.
[7] Krass, D., Nedorezov, T. and Ovchinnikov, A. (2013) Environmental Taxes and the Choice of Green Technology. Production and Operations Management, 22, 1035-1055.
https://doi.org/10.1111/poms.12023
[8] Liu, J., Ke, H. and Tian, G. (2020) Impact of Emission Reduction Investments on Decisions and Profits in a Supply Chain with Two Competitive Manufacturers. Computers & Industrial Engineering, 149, Article 106784.
https://doi.org/10.1016/j.cie.2020.106784
[9] 黄晨星, 朱小武, 熊波, 等. 零售商主导的低碳供应链竞争结构与决策分析[J]. 工业技术经济, 2025, 44(7): 36-45.
[10] 张玲红, 刘方媛, 朱立龙, 等. 考虑零售商公平关切与广告努力水平的碳减排策略研究[J]. 中国管理科学, 2021, 29(4): 138-148.
[11] 许民利, 向泽华, 简惠云. 考虑消费者环保意识的WEEE双渠道回收模型[J]. 控制与决策, 2020, 35(3): 713-720.
[12] 范定祥, 李重莲, 王晓蕾. 基于Stackelberg博弈的闭环供应链回收模式选择及其优化研究[J]. 运筹与管理, 2021, 30(4): 135-141.
[13] Savaskan, R.C., Bhattacharya, S. and Van Wassenhove, L.N. (2004) Closed-Loop Supply Chain Models with Product Remanufacturing. Management Science, 50, 239-252.
https://doi.org/10.1287/mnsc.1030.0186
[14] 焦建玲, 潘正涛, 李晶晶. 考虑再利用的经济效益与排放效率的动力电池回收模式选择[J]. 中国管理科学, 2024, 32(11): 201-213.
[15] 林贵华, 单仁邦, 陈拼博. 政府补贴下闭环供应链回收渠道的选择策略[J]. 运筹与管理, 2020, 29(4): 43-53.
[16] 张川, 田雨鑫, 崔梦雨. 电动汽车动力电池制造商混合渠道回收模式选择与碳减排决策[J]. 中国管理科学, 2024, 32(6): 184-195.
[17] 李峰, 张丹露. 碳交易背景下考虑回收量补贴的动力电池回收决策研究[J]. 工业技术经济, 2025, 44(3): 56-66.
[18] Tang, Y., Zhang, Q., Li, Y., Li, H., Pan, X. and Mclellan, B. (2019) The Social-Economic-Environmental Impacts of Recycling Retired EV Batteries under Reward-Penalty Mechanism. Applied Energy, 251, Article 113313.
https://doi.org/10.1016/j.apenergy.2019.113313