Incentive mechanisms in a green supply chain under demand uncertainty

被引:43
|
作者
Wang, Wei [1 ,2 ]
Zhang, Yu [1 ]
Zhang, Wensi [1 ,2 ]
Gao, Ge [3 ]
Zhang, Hui [4 ]
机构
[1] Ocean Univ China, Sch Econ, Qingdao, Peoples R China
[2] OUC, Marine Dev Studies Inst, Key Res Inst Humanities & Social Sci Univ, Minist Educ, Qingdao, Peoples R China
[3] Shandong Univ Sci & Technol, Coll Transportat, Qingdao, Peoples R China
[4] Shandong Jianzhu Univ, Sch Transportat Engn, Jinan, Peoples R China
基金
中国国家自然科学基金;
关键词
Supply chain; Green degree of product; Risk-averse; Demand uncertainty; Reward contract;
D O I
10.1016/j.jclepro.2020.123636
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper studies a couple of incentive mechanisms for collaborative enhancing the green degree of products in a retailer-driven supply chain consisting of one risk-averse downstream retailer and one risk-averse upstream supplier under demand uncertainty. The retailer, acting as the Stackelberg leader, decides the retail price of green products. While the supplier, acting as the follower, is answerable for the green degree of products. We provide three contracts in order to enhance the green degree of products: wholesale price contract, reward contract without target green degree, and reward contract with target green degree. Then, we make out the influence of the retailer's incentive on the supplier's green efforts through the above contracts and the impact of the members' risk aversion preference on the supply chain performance. The analytical results imply that the proposed incentive mechanisms can contribute to the product greenness and the overall utility improvement of the supply chain. Furthermore, under the reward contract with target green degree, the supplier is promoted to produce the greenest products and the overall utility of the supply chain can be the largest among the above three contracts. The results also suggest that the risk aversion attitudes of supply chain members have an adverse effect on the utilities of themselves and the whole supply chain. Finally, based on theoretical analysis and numerical studies, we provide both managerial and practical suggestions for green supply chain management. (c) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:14
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