摘要
在碳税-碳交易政策的影响下,以一个主导零售商和从属中小制造商(SMM)组成的低碳供应链为研究对象,通过构建SMM有无公平关切行为的分散决策模型以及集中决策模型,并对各个模型的最优决策进行比较分析,探讨SMM的公平关切决策和供应链的协调问题。文章研究了SMM公平关切下公平关切系数、碳减排率和碳税率对供应链定价和利润的影响,并设计了“Nash谈判-两部定价”契约实现系统协调。研究发现,在碳税-碳交易政策的影响下,供应链成员利润随着碳税率的增加而减少,但是供应链成员利润随着碳减排率变动呈现两种不同方向变化。SMM公平关切行为可以提高批发价格和自身利润,降低零售商利润,但对零售价格和系统利润没有影响,随着SMM公平关切系数的增大,零售商与SMM之间的利润差距缩小。文章设计的“Nash谈判-两部定价”契约可以实现系统协调。
Under the influence of the carbon tax-carbon trading policy and taking a low-carbon supply chain consisting of a leading retailer and subordinate small and medium-sized manufacturers(SMM)as research object,this study explores the fair concern decision-making of SMM and the coordination of the supply chain by constructing a decentralized decision-making model for whether SMM has fair concern behavior and a centralized decision-making model and by comparing and analyzing the optimal decision-making of each model.The impact of fair concern coefficient,carbon reduction rate and carbon tax rate on supply chain pricing and profits under SMM fair concern is studied while a“Nash negotiation-two part pricing”contract is designed to achieve systematic coordination.It is found that under the influence of carbon tax-carbon trading policy,the profits of supply chain members decrease with carbon tax rates increasing,but the profits of supply chain members present two different changing directions with carbon reduction rates changing.The fair concern behavior of SMM can increase wholesale prices and self profits,reduce retailers’profits,but has no impact on retail prices and system profits;as the fair concern coefficient of SMM increases,the profit gap between retailers and SMM narrows.The“Nash negotiation-two part pricing”contract designed in this study can achieve systematic coordination.
作者
王玉燕
张晓真
WANG Yuyan;ZHANG Xiaozhen(School of Management Science and Engineering,Shandong University of Finance and Economics,Jinan 250014,China)
出处
《山东财经大学学报》
2024年第2期109-121,共13页
Journal of Shandong University of Finance and Economics
基金
国家自然科学基金项目“网络直播新政下电商直播供应链的公平关切运作决策研究”(72371144)
济南市自主培养创新团队项目“智慧物流与供应链决策创新团队”(202228075)
山东省泰山学者工程专项(tsqn202211197)。