Low-carbon investment supply chain decisions under manufacturer competition

被引:1
|
作者
Zhang, Yanli [1 ]
Che, Jianxin [2 ]
Qiu, Ju [3 ]
Tang, Wenzhi [1 ]
Zheng, Shanshan [1 ]
机构
[1] HeFei Univ, Sch Econ & Management, Hefei, Peoples R China
[2] Jinan Sijian Construct Grp Co Ltd, Jinan, Peoples R China
[3] Anhui Jianzhu Univ, Sch Econ & Management, Hefei, Peoples R China
基金
中国国家自然科学基金;
关键词
Low-carbon investment supply chain; Abatement; Power structure; Competition; TRADE CREDIT; DUAL-CHANNEL; GREEN; PERFORMANCE; COORDINATION;
D O I
10.1007/s10100-024-00946-9
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Securing funding is crucial for achieving both global and regional emission reduction goals. Presently, global abatement funding comes mainly from governmental grants and low-carbon financial institution investments. To explore the allocation of emission reduction funds among competitive manufacturers, we consider a low-carbon investment supply chain consisting of a low-carbon financial institution and two manufacturers. By developing a Nash game model and a manufacturer-leader Stackelberg game model, we examine the abatement fund allocation problem under two different power structures. The results show that appropriate competition between two manufacturers encourages low-carbon financial institutions to increase their levels of abatement investment. In contrast to the MN power structure (i.e., the Nash game), both manufacturers opt for a decreased revenue allocation ratio under the MS power structure (i.e., the Stackelberg game). The low-carbon financial institution considerably curtails its investment in Manufacturer 1 under the MS power structure, while this reduction is less pronounced for Manufacturer 2. Under different power structures, the retail price serves as a pivotal element influencing the allocation of abatement funds. Interestingly, funds tend to gravitate toward the manufacturers with higher retail prices. An extended model underscores the unit abatement cost as an additional variable that impacts the competitive edge and profitability of manufacturers.
引用
收藏
页数:31
相关论文
共 50 条
  • [31] Low-Carbon Supply Chain Operation Decisions and Coordination Strategies Considering the Consumers' Preferences
    Su, Limin
    Cao, Yongchao
    Zhang, Wenjuan
    SUSTAINABILITY, 2023, 15 (14)
  • [32] Low-carbon products, targeted advertising and evolution of supply chain marketing investment strategies
    低碳产品, 定向广告与供应链营销投资策略演化
    Li, Chun-Fa (chunfali@163.com), 1600, Chinese Society for Environmental Sciences (41):
  • [33] The Low-Carbon Supply Chain Coordination Problem with Consumers' Low-Carbon Preference
    Wu, Dan
    Yang, Yuxiang
    SUSTAINABILITY, 2020, 12 (09)
  • [34] Research on Brand Competition and Decisions in Supply Chains Under Manufacturer Information Referral
    Han, Feiyan
    Li, Ling
    Lv, Hongyu
    Wang, Herui
    IEEE ACCESS, 2021, 9 : 121414 - 121430
  • [35] The Impact of Blockchain Technology on Green Investment Decisions for a Sustainable Supply Chain with an Overconfident Manufacturer
    He, Jiajun
    Zhao, Yiming
    Zhang, Beijia
    Chen, Lin
    Ma, Xiuxiu
    SUSTAINABILITY, 2025, 17 (01)
  • [36] Dynamic strategy for low-carbon supply chain considering retailers competition and technological innovation
    Guo, Wenqiang
    Liang, Yunze
    Lei, Ming
    HELIYON, 2024, 10 (06)
  • [37] Pricing Decisions in a Supply Chain Consisting of One Manufacturer and Two Retailers Under a Carbon Tax Policy
    Xu, Gang
    Yue, Dequan
    IEEE ACCESS, 2021, 9 : 18935 - 18947
  • [38] Modeling a low-carbon garment supply chain
    Shaw, Krishnendu
    Shankar, Ravi
    Yadav, Surendra S.
    Thakur, Lakshman S.
    PRODUCTION PLANNING & CONTROL, 2013, 24 (8-9) : 851 - 865
  • [39] Study on Low-carbon Supply Chain Optimization Strategies under Endogenous Carbon Price
    Gan, Xiaobing
    Zhang, Yanhua
    Ma, Lijun
    Jiao, Yanmin
    Yu, Ye
    2017 14TH INTERNATIONAL CONFERENCE ON SERVICES SYSTEMS AND SERVICES MANAGEMENT (ICSSSM), 2017,
  • [40] Supply Chain Investment in Carbon Emission-Reducing Technology Based on Stochasticity and Low-Carbon Preferences
    Yu, Shan
    Hou, Qiang
    COMPLEXITY, 2021, 2021