IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2022i1p701-d1020843.html
   My bibliography  Save this article

Differential Game Analysis of Emission Reduction and Preservation in the Tertiary Food Supply Chain under Different Government Subsidy Models

Author

Listed:
  • Jing He

    (College of Economics and Management, Shanghai Ocean University, Shanghai 201306, China)

  • Ting Yang

    (College of Economics and Management, Shanghai Ocean University, Shanghai 201306, China)

Abstract

Climate change has brought about huge environmental problems and economic losses worldwide, and low carbon has become a hot topic of research in the context of the climate crisis. The article outlines a three-tier food supply chain consisting of suppliers, manufacturers and retailers, based on a cooperative model in which manufacturers share the cost of emission reduction and retailers share the cost of freshness. The study finds that when the government grants the maximum amount of subsidies to the manufacturer, the government’s decision to reduce emissions, the government’s regulations to preserve freshness, and the government’s profits are not affected. The study found that when the government awarded the largest subsidy coefficient to manufacturers and the smallest subsidy coefficient to retailers, the non-specific one-off government subsidy model could lead to higher profits for suppliers, manufacturers, and retailers, increasing the amount of emission reduction while improving the preservation quality of food. When the government subsidy factor for manufacturers is minimal, the reduction in emissions is greater under the government’s dedicated abatement subsidy model but does not increase the freshness quality of the food; food supply chain players consistently produce higher levels of preservation effort and preservation quality under the government’s non-dedicated one-off subsidy model.

Suggested Citation

  • Jing He & Ting Yang, 2022. "Differential Game Analysis of Emission Reduction and Preservation in the Tertiary Food Supply Chain under Different Government Subsidy Models," Sustainability, MDPI, vol. 15(1), pages 1-16, December.
  • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:701-:d:1020843
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/1/701/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/1/701/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Xiaojun & Li, Dong, 2012. "A dynamic product quality evaluation based pricing model for perishable food supply chains," Omega, Elsevier, vol. 40(6), pages 906-917.
    2. S. Jørgensen & S. Taboubi & G. Zaccour, 2001. "Cooperative Advertising in a Marketing Channel," Journal of Optimization Theory and Applications, Springer, vol. 110(1), pages 145-158, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thalis P. V. Zis & Harilaos N. Psaraftis, 2022. "Impacts of short-term measures to decarbonize maritime transport on perishable cargoes," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(3), pages 602-629, September.
    2. Dong Li & Xiaojun Wang, 2017. "Dynamic supply chain decisions based on networked sensor data: an application in the chilled food retail chain," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 5127-5141, September.
    3. He, Yi & Wang, Hang & Guo, Qiang & Xu, Qingyun, 2019. "Coordination through cooperative advertising in a two-period consumer electronics supply chain," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 179-188.
    4. Daniela Favaretto & Bruno Viscolani, 2007. "Advertising and production of a seasonal good for a heterogeneous market: from total segment separability to real media," Working Papers 155, Department of Applied Mathematics, Università Ca' Foscari Venezia.
    5. Chen, Xu & Wang, Xiaojun, 2015. "Free or bundled: Channel selection decisions under different power structures," Omega, Elsevier, vol. 53(C), pages 11-20.
    6. Lejarza, Fernando & Baldea, Michael, 2022. "An efficient optimization framework for tracking multiple quality attributes in supply chains of perishable products," European Journal of Operational Research, Elsevier, vol. 297(3), pages 890-903.
    7. Dacinia Crina Petrescu & Iris Vermeir & Ruxandra Malina Petrescu-Mag, 2019. "Consumer Understanding of Food Quality, Healthiness, and Environmental Impact: A Cross-National Perspective," IJERPH, MDPI, vol. 17(1), pages 1-20, December.
    8. Buisman, M.E. & Haijema, R. & Bloemhof-Ruwaard, J.M., 2019. "Discounting and dynamic shelf life to reduce fresh food waste at retailers," International Journal of Production Economics, Elsevier, vol. 209(C), pages 274-284.
    9. Zhang, Xiunian & Lam, Jasmine Siu Lee, 2018. "Shipping mode choice in cold chain from a value-based management perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 147-167.
    10. Du, Shaofu & Wang, Lei & Hu, Li & Zhu, Yangguang, 2019. "Platform-led green advertising: Promote the best or promote by performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 115-131.
    11. Dana Marsetiya Utama & Fakhrina Fahma Abdullah & Ikhlasul Amallynda & Teguh Baroto, 2024. "Integrated production-inventory model for multi-item raw materials with exponential quality degradation: a real case study," OPSEARCH, Springer;Operational Research Society of India, vol. 61(4), pages 1862-1887, December.
    12. Zhangwei Feng & Peng Jin & Guiping Li, 2023. "Investment Decision of Blockchain Technology in Fresh Food Supply Chains Considering Misreporting Behavior," Sustainability, MDPI, vol. 15(9), pages 1-19, April.
    13. Anshuman Chutani & Suresh Sethi, 2012. "Cooperative Advertising in a Dynamic Retail Market Oligopoly," Dynamic Games and Applications, Springer, vol. 2(4), pages 347-375, December.
    14. Lijing Zhu, 2017. "Economic Analysis of a Traceability System for a Two-Level Perishable Food Supply Chain," Sustainability, MDPI, vol. 9(5), pages 1-16, April.
    15. Jena, Sarat Kumar & Sarmah, S.P., 2016. "Price and service co-opetiton under uncertain demand and condition of used items in a remanufacturing system," International Journal of Production Economics, Elsevier, vol. 173(C), pages 1-21.
    16. Kabadurmus, Ozgur & Kayikci, Yaşanur & Demir, Sercan & Koc, Basar, 2023. "A data-driven decision support system with smart packaging in grocery store supply chains during outbreaks," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    17. Yujie Xiao & Shuai Yang, 2016. "The Retail Chain Design for Perishable Food: The Case of Price Strategy and Shelf Space Allocation," Sustainability, MDPI, vol. 9(1), pages 1-11, December.
    18. Guowei Liu & Jianxiong Zhang & Wansheng Tang, 2015. "Joint dynamic pricing and investment strategy for perishable foods with price-quality dependent demand," Annals of Operations Research, Springer, vol. 226(1), pages 397-416, March.
    19. Kim, Taebok & Glock, Christoph H. & Kwon, Yongjang, 2014. "A closed-loop supply chain for deteriorating products under stochastic container return times," Omega, Elsevier, vol. 43(C), pages 30-40.
    20. Pan, Fei & Zhou, Wei & Fan, Tijun & Li, Shuxia & Zhang, Chong, 2021. "Deterioration rate variation risk for sustainable cross-docking service operations," International Journal of Production Economics, Elsevier, vol. 232(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:701-:d:1020843. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.