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作 者:王振 叶春明[1] 郭健全[1] WANG Zhen;YE Chunming;GUO Jianquan(School of Management,University of Shanghai for Science and Technology,Shanghai 200093,China)
出 处:《复杂系统与复杂性科学》2025年第1期104-112,共9页Complex Systems and Complexity Science
基 金:国家自然科学基金(71840003);上海市哲学社会科学规划项目(2022BGL010);上海市科技创新行动计划(16DZ1201402);上海市科委院校能力建设项目(16040501500)。
摘 要:为研究不确定需求下考虑激励相容理论的绿色供应链决策优化问题,运用博弈论,建立了两级再制造绿色闭环供应链模型,并研究了集中、分散、契约分散和差异补贴4种模型,分析两种碳税补贴决策下的最优方案。研究发现TE和AE模型都能优化供应链且AE模型利润更高,碳排放更少。研究既有助于高新技术制造企业构建再制造绿色供应链,也为政府制定差异化激励政策提供了理论支持。To study the green supply chain decision optimization problem under uncertain demand considering incentive compatibility theory,a two-tier remanufacturing green closed-loop supply chain model was established by using game theory,and four models,namely,centralized,decentralized,contractual decentralized,and differential subsidy,were investigated to analyze the optimal solutions under two carbon tax subsidy decisions.It is found that both TE and AE models can optimize the supply chain and the AE model is more profitable with less carbon emission.The study not only helps high-tech manufacturing enterprises to build green supply chains for remanufacturing,but also provides theoretical support for the government to formulate differentiated incentive policies.
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