系统管理学报2024，Vol.33Issue(5)：1204-1217,14.DOI:10.3969/j.issn2097-4558.2024.05.006
混合碳政策下的供应链联合减排决策与优化
Joint Emission Reduction Decision-Making and Optimization of Supply Chain Under Hybrid Carbon Regulations
摘要
Abstract
Considering"carbon tax and cap-and-trade"regulations,this paper analyzed the joint emission reduction decision-making in the supply chain.Consistent with reality,a two-echelon supply chain model consisting of a leading manufacturer and a retailer was proposed,where the upstream manufacturer depended on remanufacturing and the green technology to reduce carbon emissions,and the downstream retailer conducted relevant low-carbon promotions.By taking the low-carbon goodwill as a state variable,three differential game decision-making models were constructed to analyze the impacts of hybrid carbon regulations and different decision-making models on decisions,low-carbon goodwill,profits,and total carbon emissions.The results show that compared with the existing cap-and-trade regulation,the implementation of hybrid carbon regulations can further encourage low-carbon behaviors of the manufacturer and enhance the low-carbon goodwill from a long-term perspective,but will not affect the retailer's low-carbon promotion decision-making.In addition,the supply chain decision-making mode will affect the effectiveness of hybrid carbon regulations.If the government sets a reasonable carbon tax price,compared with the decentralized decision-making mode,the centralized decision-making mode can further expand the demand for low-carbon products and enhance the positive environmental externality.Finally,the improved two-way cost-sharing contract can achieve perfect coordination of the supply chain.The results provide valuable reference for different members and the government.关键词
混合碳政策/联合减排/微分博弈/低碳商誉/协调Key words
hybrid carbon regulations/joint emission reduction/differential game/low-carbon goodwill/coordination分类
管理科学引用本文复制引用
朱晨,马静,李犟..混合碳政策下的供应链联合减排决策与优化[J].系统管理学报,2024,33(5):1204-1217,14.基金项目
国家自然科学基金资助项目(72174086) （72174086）
国家社会科学基金重大项目(20ZDA092) （20ZDA092）
江苏省研究生科研与实践创新计划资助项目(KYCX23_0409) （KYCX23_0409）
