Green Technology Investment in a Decentralized Supply Chain under Demand Uncertainty

被引:10
|
作者
Wang, Cong [1 ,2 ]
Zou, Zongbao [3 ,4 ]
Geng, Shidao [1 ]
机构
[1] Dalian Maritime Univ, Sch Maritime Econ & Management, Dalian 116026, Peoples R China
[2] Southeast Univ, Sch Econ & Management, Nanjing 211189, Peoples R China
[3] Shantou Univ, Sch Business, Shantou 515063, Peoples R China
[4] Shantou Univ, Guangdong Taiwan Enterprise Cooperat Res Inst, Shantou 515063, Peoples R China
关键词
green technology; non-cooperative supply chain; supply chain sustainability; demand uncertainty;
D O I
10.3390/su13073752
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Green technology investment is an important factor that influences the sustainability and performance of the supply chain. In this paper, we use the game-theoretic approach, which is quite suitable to operation decision research, to model a supply chain consisting of one supplier and one retailer and discuss who should invest in green technology in a decentralized supply chain under demand uncertainty. An important result we found is that the retailer has a stronger investment motivation and higher investment efficiency compared to the supplier. The retailer also tends to invest in green technology himself when customers are not so sensitive to the product's retail price. We analyze the supply chain sustainability, and find that high levels of green technology investments are not always necessarily good for environmental sustainability, it depends on the environmental impact's sensitivity to green technology. Lastly, a joint investment mechanism is designed to induce the retailer to join in the green technology investment when he has no investment intention, and that realizes a Pareto improvement of the supply chain. Based on the results, we recommend designing more incentive mechanisms to induce the retailers to join in the green technology investment according to supply chain conditions.
引用
收藏
页数:25
相关论文
共 50 条
  • [31] Capacitated Supply Chain with Demand Uncertainty
    Zheng, Meimei
    Sun, Cunwu
    Jiang, Peng
    IFAC PAPERSONLINE, 2019, 52 (13): : 767 - 772
  • [32] Pricing policies for dual-channel supply chain with green investment and sales effort under uncertain demand
    Wang, Limin
    Song, Qiankun
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2020, 171 : 79 - 93
  • [33] Production and green technology investment strategy for contract-farming supply chain under yield insurance
    Shi, Ligang
    Pang, Tao
    Peng, Hongjun
    JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2023, 74 (01) : 225 - 238
  • [34] Matching-game approach for green technology investment strategies in a supply chain under environmental regulations
    Liu, Li
    Wang, Zhe
    Zhang, Zaisheng
    SUSTAINABLE PRODUCTION AND CONSUMPTION, 2021, 28 : 371 - 390
  • [35] Port Supply Chain Integration under Node Disruption and Demand Uncertainty
    Zhao X.
    Zhang H.-Y.
    Huang R.
    Zhao, Xu (zhao_xu@126.com), 1600, Science Press (21): : 34 - 39
  • [36] Supply chain optimization with quantity discount policy under demand uncertainty
    Graduate School of Engineering Science, Osaka Univ., Dept. of Systems Innovation, 1-3 Machikaneyama-cho, Toyonaka-city, Osaka, 560-8531, Japan
    Nihon Kikai Gakkai Ronbunshu C, 784 (4325-4338):
  • [37] Competitive contract design in a retail supply chain under demand uncertainty
    Anderson, Edward
    Jiang, Houyuan
    Shao, Lusheng
    NAVAL RESEARCH LOGISTICS, 2023, 70 (07) : 691 - 707
  • [38] A robust optimization model for a biofuel supply chain under demand uncertainty
    Fatemeh Delkhosh
    Seyed Jafar Sadjadi
    International Journal of Energy and Environmental Engineering, 2020, 11 : 229 - 245
  • [39] Collaborative production planning of supply chain under price and demand uncertainty
    Zhang, Guoquan
    Shang, Jennifer
    Li, Wenli
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2011, 215 (03) : 590 - 603
  • [40] Optimisation approaches for supply chain planning and scheduling under demand uncertainty
    Aguirre, Adrian M.
    Liu, Songsong
    Papageorgiou, Lazaros G.
    CHEMICAL ENGINEERING RESEARCH & DESIGN, 2018, 138 : 341 - 357