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作 者:黄祖庆 吴臻 段后胜 HUANG Zu-qing;WU Zhen;DUAN Hou-sheng(School of Management,Guangzhou University,Guangzhou 510006,China)
出 处:《数学的实践与认识》2025年第3期78-89,共12页Mathematics in Practice and Theory
基 金:国家自然科学基金(71871206);教育部人文社科基金(23YJC630196);广州市基础与应用基础研究(2024A04J3463)。
摘 要:在碳管制背景下,探究废旧产品原材料回收的生产地转移策略及区块链技术的应用,构建不同情景下的Stackelberg博奔模型,通过利润最大化得到模型的最优决策.研究发现:本地制造商的批发价格、海外回收商的利润受碳税和关税负面影响最大;当碳税价格大于某一阈值时,制造商偏向于应用区块链且应用区块链能够使所有供应链成员获得更高利润;此外,当市场需求超过一定闻值时,制造商偏向将原材料回收的生产地从碳管制严格区域转移至宽松区域。In the context of carbon regulation,this study considers the impact of blockchain technology on pricing and the strategy of relocating recycled raw material production in a multinational supply chain.This paper constructs Stackelberg game models under different scenarios and derive the optimal decisions through profit maximization.The research finds that the wholesale price of the local manufacturer is most negatively affected by carbon taxes and tariffs,followed by the retail price.However,the local manufacturer's profit is not the most negatively impacted;instead,it is the overseas recycler who suffers the most.When the carbon tax price exceeds a certain threshold,the local manufacturer tends to adopt blockchain technology,which enables all supply chain members to achieve higher profits.Furthermore,when market demand exceeds a certain threshold,the local manufacturer is inclined to relocate the production of recycled raw materials from regions with strict carbon regulations to regions with more lenient regulations.
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