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Closed-Loop Supply Chain Coordination under a Reward–Penalty and a Manufacturer’s Subsidy Policy

Author

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  • Sungki Kim

    (Port Investment and Operation Department, Korea Maritime Institute, Busan 49111, Korea)

  • Nina Shin

    (College of Business Administration, Sejong University, Seoul 05006, Korea)

  • Sangwook Park

    (College of Business Administration, Seoul National University, Seoul 08826, Korea)

Abstract

Government legislation significantly impacts closed-loop supply chain (CLSC) operations. This study examines the collection rate of and decisions on the product greening improvement level in a three-level CLSC with the government’s reward–penalty and a manufacturer’s subsidy policy. Four game-theoretic models are analyzed in order to evaluate the ways in which the policy and revenue-sharing contracts (RSCs) between the manufacturer and retailer affect the CLSC members’ optimal decisions and profits. We found that a reward–penalty and subsidy policy raise the collection rate, as well as the product greening improvement level. A manufacturer’s financial conflict of interest can be mitigated using RSCs. The RSCs between the manufacturer and the retailer also increase the profit of a recycling company that successfully coordinates the CLSC. An interesting result is that, when the RSCs are used under the subsidy policy, the collection rate is higher than it is in a centralized model. We also found that the subsidy level needs to be adjusted according to the price of the recycling resources, and that increasing the value of the recyclable resources and lowering the recycling costs in the early stages of the supply chain collaboration could lead to higher environmental sustainability. These results illustrate that using an RSC can effectively coordinate the CLSC, and can thus help policy implementation by governments.

Suggested Citation

  • Sungki Kim & Nina Shin & Sangwook Park, 2020. "Closed-Loop Supply Chain Coordination under a Reward–Penalty and a Manufacturer’s Subsidy Policy," Sustainability, MDPI, vol. 12(22), pages 1-28, November.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9329-:d:442713
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    References listed on IDEAS

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    Cited by:

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    2. Wang, Jian & He, Shulin, 2023. "Government interventions in closed-loop supply chains with modularity design," International Journal of Production Economics, Elsevier, vol. 264(C).
    3. Xingyi Yang & Xiaopei Dai & Zhenyu Liu, 2023. "Retailers’ Audit Strategies for Green Agriculture Based on Dynamic Evolutionary Game," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    4. Chauhan, Chetna & Kaur, Puneet & Arrawatia, Rakesh & Ractham, Peter & Dhir, Amandeep, 2022. "Supply chain collaboration and sustainable development goals (SDGs). Teamwork makes achieving SDGs dream work," Journal of Business Research, Elsevier, vol. 147(C), pages 290-307.
    5. Xiaoling Xiong & Jizhi Li & Zejian Lin, 2023. "Evolutionary Game and Simulation Analysis of Participating Subjects in Remediation of Heavy Metal Contaminated Cultivated Land under the Ladder Multiple Supervision Model," Sustainability, MDPI, vol. 15(6), pages 1-20, March.

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