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Research on the Anti-Risk Mechanism of Mask Green Supply Chain from the Perspective of Cooperation between Retailers, Suppliers, and Financial Institutions

Author

Listed:
  • Haibo Chen

    (School of Management, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Zongjun Wang

    (School of Management, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Xuesong Yu

    (School of Economics and Management, Hubei Polytechnic University, Huangshi 435003, China)

  • Qin Zhong

    (School of Management, Wuhan Polytechnic University, Wuhan 430048, China)

Abstract

Against the background of the pandemic, the mask supply chain faces the risk of pollution caused by discarded masks, the risk of insufficient funds of retailers, and the risk of mask overstock. To better guard against the above risks, this study constructed a two-party game model and a cusp catastrophe model from the perspective of the mask green supply chain, and studied the strategic choices of retailers and suppliers in the supply chain affected by the risk of capital constraints and overstock. The result shows that the risk shocks will lead to the disruption of the mask green supply chain, and the main factors affecting the strategy choice of mask suppliers and retailers are mask recycling rate, deposit ratio, risk occurrence time, etc. In further research, this study involved a mechanism for financial institutions, mask retailers, and the government to jointly deal with the risk of mask overstock, the risk of retailers’ insufficient funds, and the risk of environmental pollution from discarded masks. The research path and conclusion of this study reveal the risks in the circulation area of mask supplies during the pandemic, and provide recommendations for planning for future crises and risk prevention.

Suggested Citation

  • Haibo Chen & Zongjun Wang & Xuesong Yu & Qin Zhong, 2022. "Research on the Anti-Risk Mechanism of Mask Green Supply Chain from the Perspective of Cooperation between Retailers, Suppliers, and Financial Institutions," IJERPH, MDPI, vol. 19(24), pages 1-18, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16744-:d:1002303
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    References listed on IDEAS

    as
    1. Haibo Chen & Zongjun Wang & Xuesong Yu, 2021. "Sustainability Strategies of Equipment Introduction and Overcapacity Risk Sharing in Mask Emergency Supply Chains during Pandemics," Sustainability, MDPI, vol. 13(18), pages 1-17, September.
    2. Salehi Sadghiani, N. & Torabi, S.A. & Sahebjamnia, N., 2015. "Retail supply chain network design under operational and disruption risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 75(C), pages 95-114.
    3. Raj, Alok & Mukherjee, Abheek Anjan & de Sousa Jabbour, Ana Beatriz Lopes & Srivastava, Samir K., 2022. "Supply chain management during and post-COVID-19 pandemic: Mitigation strategies and practical lessons learned," Journal of Business Research, Elsevier, vol. 142(C), pages 1125-1139.
    4. Diego Delgado & Fernando Wyss Quintana & Gonzalo Perez & Alvaro Sosa Liprandi & Carlos Ponte-Negretti & Ivan Mendoza & Adrian Baranchuk, 2020. "Personal Safety during the COVID-19 Pandemic: Realities and Perspectives of Healthcare Workers in Latin America," IJERPH, MDPI, vol. 17(8), pages 1-8, April.
    5. Ahmad Makui & Seyed Mohammad Seyedhosseini & Seyed Jafar Sadjadi & Parinaz Esmaeili, 2020. "Analysis of labor strike based on evolutionary game and catastrophe theory," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 8(1), pages 79-88, May.
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