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Supply Chain Coordination with Carbon Trading Price and Consumers' Environmental Awareness Dependent Demand

机译：供应链与碳交易价格的协调以及消费者对环境意识的依赖

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摘要

Carbon emissions reduction in supply chain is an effective method to reduce the greenhouse effect. The paper investigates the impacts of carbon trading price and consumers' environmental awareness on carbon emissions in supply chain under the cap-and-trade system. Firstly, it analyzes the centralized decision structure and obtains the requirements to coordinate carbon emissions reduction and order quantity in supply chain. Secondly, it proposes the supply chain coordination mechanism with revenue-sharing contract based on quantity discount policy, and the requirements that the contract parameters need to satisfy are also given. Thirdly, assuming the market demand is affected by consumer's environmental awareness in addition form, the paper proposes the methods to determine the optimal order quantity and the optimal level of carbon emissions through model optimization. Finally, it investigates the impacts of carbon trading price on carbon emissions in supply chain. The results show that clean manufacturer's optimal per-unit carbon emissions increase as the carbon trading price increases, while nongreen manufacturer's optimal per-unit carbon emissions decrease as the carbon trading price increases. For the middle emissions manufacturer, the optimal per-unit carbon emissions depend on the relationship between the carbon trading price and the carbon reduction coefficient.
机译：减少供应链中的碳排放量是减少温室效应的有效方法。本文研究了限额交易制度下碳交易价格和消费者环保意识对供应链碳排放的影响。首先，分析了集中式决策结构，得出了协调供应链中碳排放量减少和订单数量的要求。其次，提出了基于数量折扣政策的带收益分成合同的供应链协调机制，并给出了合同参数需要满足的要求。第三，假设市场需求受消费者环境意识的影响，提出了通过模型优化确定最优订货量和最优碳排放量的方法。最后，它研究了碳交易价格对供应链中碳排放的影响。结果表明，清洁制造商的最佳单位碳排放量随着碳交易价格的增加而增加，而非绿色制造商的最佳单位碳排放量随着碳交易价格的增加而降低。对于中等排放量的制造商而言，最佳的单位碳排放量取决于碳交易价格与碳减少系数之间的关系。

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  • 来源
    《Mathematical Problems in Engineering》 |2018年第3期|8749251.1-8749251.11|共11页
  • 作者

    Pang Qinghua; Li Mingzhen; Yang Tiantian; Shen Yi;

  • 作者单位

    Hohai Univ, Sch Business Adm, Changzhou 213022, Peoples R China;

    Hohai Univ, Sch Business Adm, Changzhou 213022, Peoples R China;

    Hohai Univ, Sch Business Adm, Changzhou 213022, Peoples R China;

    Hohai Univ, Sch Business Adm, Changzhou 213022, Peoples R China;

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