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Pricing and Coordination Strategy in a Green Supply Chain with a Risk-Averse Retailer

Author

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  • Liyan Wang
  • Minghai Ye
  • Shanshan Ma
  • Yipeng Sha

Abstract

This paper addresses the pricing and coordination strategy in a green supply chain in which a manufacturer produces a green product and sells it to a risk-averse retailer. The product’s demand is a random variable influenced by the green level and the retail price. The problem is modeled in three different structures, a centralized and two decentralized models, in which the upstream manufacturer and the downstream retailer act as the channel leader, respectively. This paper presents the optimal decisions for all supply chain members, analyzes the effects of green degree and risk-averse coefficient on the supply chain members’ decision-making and their profits, and performs the numerical analysis. The results show that the green degree and the whole supply chain’s expected profits are highest in the centralized scenario, followed by the retailer-led scenario, and lowest under the manufacturer-led scenario; the green degree and the manufacturer’s expected profit increase with the risk-averse coefficient, no matter who dominates the channel; however, the risk-averse coefficient’s effects on the retailer’s expected utility and the retail price depends on who dominates the channel and on the greening investment parameter.

Suggested Citation

  • Liyan Wang & Minghai Ye & Shanshan Ma & Yipeng Sha, 2019. "Pricing and Coordination Strategy in a Green Supply Chain with a Risk-Averse Retailer," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-12, December.
  • Handle: RePEc:hin:jnlmpe:7482080
    DOI: 10.1155/2019/7482080
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    Cited by:

    1. Shizhen Bai & Yonggan Wang, 2022. "Green Investment Decision and Coordination in a Retailer-Dominated Supply Chain Considering Risk Aversion," Sustainability, MDPI, vol. 14(20), pages 1-36, October.
    2. Chenbo Zhu & Juntian Yue & Jing Chen, 2022. "Green Product Development and Order Strategies for Retailers," Sustainability, MDPI, vol. 14(15), pages 1-18, August.
    3. Wang, Jian & He, Shulin, 2022. "Optimal decisions of modularity, prices and return policy in a dual-channel supply chain under mass customization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).

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