IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i19p8674-d1494155.html
   My bibliography  Save this article

Stochastic Differential Games of Carbon Emission Reduction in the Four-Tier Supply Chain System Based on Reference Low-Carbon Level

Author

Listed:
  • Lingfei Li

    (School of Public Administration, Northwest University, Xi’an 710127, China)

  • Jingyu Wu

    (School of Economics and Management, Northwest University, Xi’an 710127, China)

  • Minting Zhu

    (School of Economics and Management, Northwest University, Xi’an 710127, China)

  • Mancang Wang

    (School of Economics and Management, Northwest University, Xi’an 710127, China)

  • Yaoyuan Li

    (School of Public Administration, Northwest University, Xi’an 710127, China)

Abstract

This paper takes corporate social responsibility goodwill and consumers’ reference low-carbon level as endogenous variables of joint carbon emission reduction in the “supplier–manufacturer–retailer–consumer” supply chain system. The joint carbon emission reduction strategies of this four-tier system are analyzed from a dynamic perspective by considering random factors that affect the endogenous variables. Three stochastic differential games are proposed to examine the mechanism between each player, namely the cooperative model, Nash non-cooperative model, and Stackelberg master–slave model. Compared to the Nash non-cooperative game, the manufacturer/supplier-led Stackelberg master–slave game leads to Pareto improvement in the profits of the entire supply chain system and each player. The cooperative game demonstrates the highest expected emission reduction and corporate social responsibility goodwill, but also the highest variance. More importantly, the reference low-carbon level embraces consumers’ subjective initiative in the dynamic of carbon emission reduction. This level is an internal benchmark used to compare against the observed low-carbon level. This paper provides a theoretical foundation for strategic decision-making in emission reduction, contributing to sustainable development. By addressing environmental, economic, and social sustainability, it promotes climate action through carbon reduction strategies and offers policy recommendations aligned with the Sustainable Development Goals.

Suggested Citation

  • Lingfei Li & Jingyu Wu & Minting Zhu & Mancang Wang & Yaoyuan Li, 2024. "Stochastic Differential Games of Carbon Emission Reduction in the Four-Tier Supply Chain System Based on Reference Low-Carbon Level," Sustainability, MDPI, vol. 16(19), pages 1-38, October.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:19:p:8674-:d:1494155
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/19/8674/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/19/8674/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Panda, S. & Modak, N.M. & Basu, M. & Goyal, S.K., 2015. "Channel coordination and profit distribution in a social responsible three-layer supply chain," International Journal of Production Economics, Elsevier, vol. 168(C), pages 224-233.
    2. Hosseini-Motlagh, Seyyed-Mahdi & Govindan, Kannan & Nematollahi, Mohammadreza & Jokar, Abbas, 2019. "An adjustable bi-level wholesale price contract for coordinating a supply chain under scenario-based stochastic demand," International Journal of Production Economics, Elsevier, vol. 214(C), pages 175-195.
    3. Raymond Hartman & David Wheeler & Manjula Singh, 1997. "The cost of air pollution abatement," Applied Economics, Taylor & Francis Journals, vol. 29(6), pages 759-774.
    4. Wu, Tao & Kung, Chih-Chun, 2020. "Carbon emissions, technology upgradation and financing risk of the green supply chain competition," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    5. Gadi Fibich & Arieh Gavious & Oded Lowengart, 2003. "Explicit Solutions of Optimization Models and Differential Games with Nonsmooth (Asymmetric) Reference-Price Effects," Operations Research, INFORMS, vol. 51(5), pages 721-734, October.
    6. Wang, Xinyu & Sethi, Suresh P. & Chang, Shuhua, 2022. "Pollution abatement using cap-and-trade in a dynamic supply chain and its coordination," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    7. Arieh Gavious & Oded Lowengart, 2012. "Price–quality relationship in the presence of asymmetric dynamic reference quality effects," Marketing Letters, Springer, vol. 23(1), pages 137-161, March.
    8. Nair, Anand & Narasimhan, Ram, 2006. "Dynamics of competing with quality- and advertising-based goodwill," European Journal of Operational Research, Elsevier, vol. 175(1), pages 462-474, November.
    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. Kumar, Patanjal & Baraiya, Rajendra & Das, Debashree & Jakhar, Suresh Kumar & Xu, Lei & Mangla, Sachin Kumar, 2021. "Social responsibility and cost-learning in dyadic supply chain coordination," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    2. 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.
    3. Deqing Ma & Jinsong Hu & Weihao Wang, 2021. "Differential game of product–service supply chain considering consumers’ reference effect and supply chain members’ reciprocity altruism in the online-to-offline mode," Annals of Operations Research, Springer, vol. 304(1), pages 263-297, September.
    4. Anton, Ramona & Chenavaz, Régis Y. & Paraschiv, Corina, 2023. "Dynamic pricing, reference price, and price-quality relationship," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    5. Jun Wang & Xianxue Cheng & Xinyu Wang & Hongtao Yang & Shuhua Zhang, 2019. "Myopic versus Farsighted Behaviors in a Low-Carbon Supply Chain with Reference Emission Effects," Complexity, Hindawi, vol. 2019, pages 1-15, February.
    6. Ziyuan Zhang & Liying Yu, 2021. "Dynamic Optimization and Coordination of Cooperative Emission Reduction in a Dual-Channel Supply Chain Considering Reference Low-Carbon Effect and Low-Carbon Goodwill," IJERPH, MDPI, vol. 18(2), pages 1-33, January.
    7. Ma, Peng & Gong, Yeming & Mirchandani, Prakash, 2020. "Trade-in for remanufactured products: Pricing with double reference effects," International Journal of Production Economics, Elsevier, vol. 230(C).
    8. Zhou Xideng & Xu Bing & Xie Fei & Li Yu, 2020. "Research on Quality Decisions and Coordination with Reference Effect in Dual-Channel Supply Chain," Sustainability, MDPI, vol. 12(6), pages 1-23, March.
    9. De Giovanni, Pietro & Zaccour, Georges, 2023. "A survey of dynamic models of product quality," European Journal of Operational Research, Elsevier, vol. 307(3), pages 991-1007.
    10. Haoyu Liu & Shulin Liu, 2020. "Research on Advertising and Quality of Paid Apps, Considering the Effects of Reference Price and Goodwill," Mathematics, MDPI, vol. 8(5), pages 1-23, May.
    11. Yanyan He & Juan Zhang & Qinglong Gou & Gongbing Bi, 2018. "Supply chain decisions with reference quality effect under the O2O environment," Annals of Operations Research, Springer, vol. 268(1), pages 273-292, September.
    12. Ma, Peng, 2021. "Optimal generic and brand advertising efforts in a decentralized supply chain considering customer surplus," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    13. Skare, Marinko & Gavurova, Beata & Sinkovic, Dean, 2023. "Regional aspects of financial development and renewable energy: A cross-sectional study in 214 countries," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1142-1157.
    14. Xia Zhao & Ning Li & Liang Song, 2019. "Coordination of a Socially Responsible Two-Stage Supply Chain Under Random Demand," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(05), pages 1-27, October.
    15. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis," Energy Economics, Elsevier, vol. 48(C), pages 217-229.
    16. Mukherjee, Arka & Chauhan, Satyaveer S., 2021. "The impact of product recall on advertising decisions and firm profit while envisioning crisis or being hazard myopic," European Journal of Operational Research, Elsevier, vol. 288(3), pages 953-970.
    17. Chenavaz, Régis & Paraschiv, Corina, 2018. "Dynamic pricing for inventories with reference price effects," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-16.
    18. John Loomis & Bryon Allen, 2008. "Using Non Market Valuation to Inform the Choice Between Permits and Fees in Environmental Regulation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 40(3), pages 329-337, July.
    19. Hettige, Hemamala & Mani, Muthukumara & Wheeler, David, 2000. "Industrial pollution in economic development: the environmental Kuznets curve revisited," Journal of Development Economics, Elsevier, vol. 62(2), pages 445-476, August.
    20. Javad Nasiry & Ioana Popescu, 2011. "Dynamic Pricing with Loss-Averse Consumers and Peak-End Anchoring," Operations Research, INFORMS, vol. 59(6), pages 1361-1368, December.

    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:16:y:2024:i:19:p:8674-:d:1494155. 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.