Who should determine energy efficiency level in a green cost-sharing supply chain with learning effect?

被引:30
|
作者
Zhang, Qiao [1 ]
Tang, Wansheng [1 ]
Zhang, Jianxiong [1 ]
机构
[1] Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China
关键词
Green supply chain; Differential games; Cost learning; Energy efficiency level; Decision right; CONSUMER ENVIRONMENTAL AWARENESS; PRICE-COMPETITION; CHANNEL STRUCTURE; ASSEMBLY PLANT; RETAILER; CONTRACT; POLICIES; CHINA; COORDINATION; MANUFACTURER;
D O I
10.1016/j.cie.2017.11.014
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The increasing environmental awareness and green demands drive channel members to jointly take efforts to improve energy efficiency level of products. Considering the cost learning effect, this work develops a differential game model where the retailer (leader) sets retail margin, the manufacturer (follower) determines wholesale price and they jointly invest in energy efficiency level. Two scenarios are considered, where the decision right of energy efficiency level is respectively held by manufacturer (ME) and retailer (RE). Main results indicate that the energy efficiency level is usually governed by the manufacturer rather than the retailer, unless the retailer has a large bargaining power. Besides, the retailer's preference on the decision right is weakened by a larger cost learning effect or energy efficiency effectiveness, but improved by a greater investment cost. This work contributes to researches of the channel members' preference on holding the decision right of energy efficiency level in the presence of cost learning effect, and provides important managerial insights on firms' investment and pricing strategies.
引用
收藏
页码:226 / 239
页数:14
相关论文
共 50 条
  • [21] Lateral collaboration with cost-sharing in sustainable supply chain optimisation: A combinatorial framework
    Guo, Yuhan
    Yu, Junyu
    Allaoui, Hamid
    Choudhary, Alok
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2022, 157
  • [22] Peer-to-Peer Energy Sharing: Effective Cost-Sharing Mechanisms and Social Efficiency
    Chau, Sid Chi-Kin
    Xu, Jiajia
    Bow, Wilson
    Elbassioni, Khaled
    E-ENERGY'19: PROCEEDINGS OF THE 10TH ACM INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS, 2019, : 215 - 225
  • [23] Cost-sharing strategy for recycling and service investment in a closed-loop supply chain
    Shan, Renbang
    Luo, Li
    Kou, Ran
    RAIRO-OPERATIONS RESEARCH, 2021, 55 (05) : 2963 - 2990
  • [24] Quality Visibility Improvement with Effort Alignment and Cost-Sharing Policies in a Food Supply Chain
    Zhang, Wenbo
    Su, Qin
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 2020
  • [25] Cost-Sharing Contracts for Energy Saving and Emissions Reduction of a Supply Chain under the Conditions of Government Subsidies and a Carbon Tax
    Yi, Yuyin
    Li, Jinxi
    SUSTAINABILITY, 2018, 10 (03):
  • [26] Information sharing in a supply chain with learning effect
    Wu Jianghua
    Xin Zhai
    GLOBALIZATION CHALLENGE AND MANAGEMENT TRANSFORMATION, VOLS I - III, 2007, : 239 - 244
  • [27] Research on financing strategy of low-carbon supply chain based on cost-sharing contract
    Chengfeng Wu
    Chunfeng Xu
    Qiuhong Zhao
    Shuaicheng Lin
    Environmental Science and Pollution Research, 2022, 29 : 48358 - 48375
  • [28] The Effect of Information Sharing on Supply Chain Cost and Bullwhip Effect
    Liu Huixin
    PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS A-C, 2008, : 828 - 831
  • [29] Research on financing strategy of low-carbon supply chain based on cost-sharing contract
    Wu, Chengfeng
    Xu, Chunfeng
    Zhao, Qiuhong
    Lin, Shuaicheng
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (32) : 48358 - 48375
  • [30] Green supply chain analysis under cost sharing contract with uncertain information based on confidence level
    Ma, Nana
    Gao, Rong
    Wang, Xiaobin
    Li, Ping
    SOFT COMPUTING, 2020, 24 (04) : 2617 - 2635