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碳交易机制下考虑信息偏差行为的动力电池闭环供应链回收模式选择研究
Research on the Selection of Power Battery Closed-loop Supply Chain Recycling Models Considering Information Bias Behavior under Carbon Trading Mechanisms
【摘要】 从闭环供应链视角,考虑动力电池生产商的碳排放信息偏差,以及新能源汽车制造商和第三方回收商的运营成本信息偏差,构建三种闭环供应链回收模式的Stackelberg博弈模型。通过算例比较不同回收模式下的信息偏差行为、主体利润及总利润。研究发现:碳排放和运营成本的偏差与各主体及供应链总利润直接相关;R/T-M模式下供应链整体利润最大,现实应优先考虑该模式;随着碳交易价格上升,各主体利润和供应链总利润呈先降后升趋势。
【Abstract】 From the perspective of a closed-loop supply chain, the information bias related to carbon emissions from lithium-ion battery manufacturers and operational cost discrepancies among new energy vehicle manufacturers and third-party recyclers was examined by constructing a Stackelberg game model encompassing three distinct recycling modes. Through numerical examples, the behavior of information biases, individual profits and total profits across these recycling modes was analyzed. The findings indicate that both carbon emission biases and operational cost discrepancies are directly correlated with the individual profits and overall profitability of all stakeholders within the supply chain. Notably, the R/T-M mode yields the highest total profit and should be prioritized in practical applications. Furthermore, as carbon trading prices increase, there is an observable trend where profits for all parties initially decline before subsequently rising.
【Key words】 closed-loop supply chains; carbon trading mechanisms; asymmetric information; recycling model;
- 【文献出处】 科技和产业 ,Science Technology and Industry , 编辑部邮箱 ,2025年04期
- 【分类号】F832.5;F426.61;F274;X705
- 【下载频次】79