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中国管理科学 ›› 2021, Vol. 29 ›› Issue (2): 160-167.doi: 10.16381/j.cnki.issn1003-207x.2021.02.017

• 论文 • 上一篇    下一篇

碳交易政策下节能服务公司参与供应链合作减排策略研究

廖诺, 卢晨, 贺勇   

  1. 广东工业大学管理学院, 广东 广州 510520
  • 收稿日期:2018-07-06 修回日期:2018-11-05 发布日期:2021-03-04
  • 通讯作者: 贺勇(1982-),男(汉族),湖北人,广东工业大学管理学院,教授,研究方向:低碳供应链、能源经济与管理,E-mail:heyong@gdut.edu.cn. E-mail:heyong@gdut.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(71974038);广东省基础与应用基础研究基金资助项目(2019A1515011749);教育部人文社会科学基金资助项目(17YJAZH030);广东省哲学社科规划基金资助项目(GD18CGL10);广州市社科规划基金资助项目(2018GZYB64)

Research on the Strategy of Cooperative Emission Reduction in Supply Chain Involving ESCO under Carbon Trading Policy

LIAO Nuo, LU Chen, HE Yong   

  1. School of Management, Guangdong University of Technology, Guangzhou 510520, China
  • Received:2018-07-06 Revised:2018-11-05 Published:2021-03-04

摘要: 在碳交易政策背景下,采用Stackelberg博弈模型来探讨节能服务公司参与的供应链合作减排策略问题。通过建立供应链上下游企业分散决策、集中决策、与节能服务公司合作三种模式下的博弈模型,对其利润和减排效果进行比较分析,得到了节能服务公司参与减排的条件和利润分享比例。研究表明:当供应链减排投资系数与节能服务公司减排投资系数的比值达到一定阈值时,供应链的最优选择是与节能服务公司合作;三种模式下供应链的总利润和减排率排序均为:与节能服务公司合作时最高,其次是集中决策,最后是分散决策。与节能服务公司合作的情况下,供应链减排率与节能效益分享比例呈现反向变动关系。最后通过算例对以上结果进行了验证和分析。

关键词: 合作减排, 供应链, 节能服务公司, 碳交易, 博弈论

Abstract: As an effective cooperative mode of enhancing carbon emission reduction, the participation of energy-saving service companies (ESCO) in supply chain emission reduction has been concerned in recent years. However, the existing literatures have not analyzed the conditions for supply chain to cooperate with ESCO in emission reduction, andthe impact onemission reduction rate and profits in the supply chain involving ESCO. The strategy of cooperative emission reduction in the supply chain ESCO under the carbon trading policy is investingated on. Three game models are established in the case of decentralized decision-making, centralized decision making among upstream and downstream enterprises and involving ESCO cooperation with the supply chain. Through the comparative analysis of the profit and emission reduction effect, the conditions and the profit sharing ratio of ESCO to participate in supply chain emission reduction are obtained. The results indicate that, when the ratio of the investment coefficient of emission reduction in supply chain to that of ESCO reached to a certain threshold value, the optimal decision-making of the supply chain is to cooperate with ESCO. According to the total profit and emission reduction rate of supply chain, the three cases are sorted as that, the first is cooperating with the ESCO, and the next is centralized decision making, the last is decentralized decision-making. When cooperating with ESCO, the emission reduction rate of supply chain has a reverse relation with the profit sharing ratio.Moreover, numerical simulations are conducted to further verify the above results. The theoretical support could be provided for the necessity and effectiveness of energy-saving service companies participating in supply chain emission reduction in practice.

Key words: cooperative emission reduction, supply chain, energy-saving service companies, carbon trading, game theory

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