IDEAS home Printed from https://ideas.repec.org/a/oup/ijlctc/v17y2022ip1061-1074..html
   My bibliography  Save this article

Research on low-carbon supply chain decision-making under carbon cap-and-trade and subsidy policy
[Optimal production and carbon emission reduction level under cap-and-trade and low carbon subsidy policies]

Author

Listed:
  • XinXin Peng
  • YuHong Tao
  • ChunMei Wang
  • Zhen Zhong

Abstract

Under the background of carbon cap and carbon subsidy policies implemented by the government, considering a low-carbon supply chain led by a manufacturer and followed by a retailer, the market demand is influenced by the level of emission reduction and promotion of low-carbon products. Stackelberg game theory is used to construct four models, one with no carbon cap and three with a carbon cap respectively. And we get the equilibrium solutions of the degree of emission reduction, degree of promotion, sharing ratio, market demand, manufacturer and retailer profit of low-carbon products. Through comparative analysis, it is found that the MKM model is the optimal one in which the government implements carbon cap and carbon subsidy policies and the manufacturer shares the cost of low-carbon promotion. In this model, the degree of manufacturer’s emission reduction is positively correlated with the influence coefficient of low-carbon emission reduction, manufacturer’s marginal revenue, government unit subsidy for low-carbon emission reduction and the initial price of carbon trading. Meanwhile, it is negatively correlated with the government’s carbon emission quota, elastic coefficient of carbon emission quota and the cost coefficient of low-carbon emission reduction. The results are closely related to the government unit subsidies for low-carbon emission reduction and the government carbon allowances. The manufacturer is more willing to accept the MKM model only when they exceed a certain threshold. Finally, the validity of the models would be verified by a numerical example.

Suggested Citation

  • XinXin Peng & YuHong Tao & ChunMei Wang & Zhen Zhong, 2022. "Research on low-carbon supply chain decision-making under carbon cap-and-trade and subsidy policy [Optimal production and carbon emission reduction level under cap-and-trade and low carbon subsidy ," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 1061-1074.
  • Handle: RePEc:oup:ijlctc:v:17:y:2022:i::p:1061-1074.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ijlct/ctac086
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. XinXin Peng & YuHong Tao & ChunMei Wang & Zhen Zhong, 2022. "Research on low-carbon supply chain decision-making under different incentive models [Decision optimization of low-carbon dual-channel supply chain of auto parts based on smart city architecture]," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 696-709.
    2. Kaiying Cao & Ping He & Zhixin Liu, 2020. "Production and pricing decisions in a dual-channel supply chain under remanufacturing subsidy policy and carbon tax policy," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(8), pages 1199-1215, August.
    3. Min Wang & Lindu Zhao & Michael Herty, 2018. "Modelling carbon trading and refrigerated logistics services within a fresh food supply chain under carbon cap-and-trade regulation," International Journal of Production Research, Taylor & Francis Journals, vol. 56(12), pages 4207-4225, June.
    4. Bansal, Sangeeta & Gangopadhyay, Shubhashis, 2003. "Tax/subsidy policies in the presence of environmentally aware consumers," Journal of Environmental Economics and Management, Elsevier, vol. 45(2, Supple), pages 333-355, March.
    5. Huang, Zhimin & Li, Susan X., 2001. "Co-op advertising models in manufacturer-retailer supply chains: A game theory approach," European Journal of Operational Research, Elsevier, vol. 135(3), pages 527-544, December.
    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. Sina Abbasi & Babek Erdebilli, 2023. "Green Closed-Loop Supply Chain Networks’ Response to Various Carbon Policies during COVID-19," Sustainability, MDPI, vol. 15(4), pages 1-30, February.
    2. Yu, Yugang & Huang, George Q., 2010. "Nash game model for optimizing market strategies, configuration of platform products in a Vendor Managed Inventory (VMI) supply chain for a product family," European Journal of Operational Research, Elsevier, vol. 206(2), pages 361-373, October.
    3. H. Eggert & M. Greaker, 2011. "Trade, GMOs and Environmental Risk: Are Current Policies Likely to Improve Welfare?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(4), pages 587-608, April.
    4. 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).
    5. Linghong Zhang & Bowen Xue & Xiyu Liu, 2018. "Carbon Emission Reduction with Regard to Retailer’s Fairness Concern and Subsidies," Sustainability, MDPI, vol. 10(4), pages 1-28, April.
    6. Karray, Salma & Martín-Herrán, Guiomar & Zaccour, Georges, 2017. "Assessing the profitability of cooperative advertising programs in competing channels," International Journal of Production Economics, Elsevier, vol. 187(C), pages 142-158.
    7. Yongjian Wang & Fei Wang & Wenbo Li, 2023. "Effects of the Carbon Credit Policy on the Capital-Constrained Manufacturer’s Remanufacturing and Emissions Decisions," IJERPH, MDPI, vol. 20(5), pages 1-17, February.
    8. Maccarrone, Giovanni & Marini, Marco A. & Tarola, Ornella, 2023. "Shop Until You Drop: the Unexpected Effects of Anticonsumerism and Environmentalism," FEEM Working Papers 330384, Fondazione Eni Enrico Mattei (FEEM).
    9. Ren, Shenggang & Hu, Yucai & Zheng, Jingjing & Wang, Yangjie, 2020. "Emissions trading and firm innovation: Evidence from a natural experiment in China," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    10. Dridi, Dhouha & Ben Youssef, Slim, 2015. "A Game Theoretic Framework for Competing/Cooperating Retailers under price and advertising dependent demand," MPRA Paper 63317, University Library of Munich, Germany.
    11. Chirantan Mondal & Bibhas C. Giri, 2022. "Analyzing a manufacturer-retailer sustainable supply chain under cap-and-trade policy and revenue sharing contract," Operational Research, Springer, vol. 22(4), pages 4057-4092, September.
    12. Yi Zheng & Huchang Liao & Xue Yang, 2016. "Stochastic Pricing and Order Model with Transportation Mode Selection for Low-Carbon Retailers," Sustainability, MDPI, vol. 8(1), pages 1-19, January.
    13. Wen, Wen & Zhou, P. & Zhang, Fuqiang, 2018. "Carbon emissions abatement: Emissions trading vs consumer awareness," Energy Economics, Elsevier, vol. 76(C), pages 34-47.
    14. Dong‐dong Wang & Kangzhou Wang, 2022. "Evolutionary game analysis of low‐carbon effort decisions in the supply chain considering fairness concerns," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(5), pages 1224-1239, July.
    15. Yokessa, Maïmouna & Marette, Stéphan, 2019. "A Review of Eco-labels and their Economic Impact," International Review of Environmental and Resource Economics, now publishers, vol. 13(1-2), pages 119-163, April.
    16. Atonu Rabbani, "undated". "Can Leaders Promote Better Health Behavior? Learning from a Sanitation and Hygiene Communication Experiment in Rural Bangladesh," Working papers 118, The South Asian Network for Development and Environmental Economics.
    17. Ambec, Stefan & De Donder, Philippe, 2022. "Environmental policy with green consumerism," Journal of Environmental Economics and Management, Elsevier, vol. 111(C).
    18. Philippe Mahenc, 2007. "Are green products over-priced?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 38(4), pages 461-473, December.
    19. Stefan Ambec & Paul Lanoie, 2007. "When and Why Does It Pay To Be Green?," CIRANO Working Papers 2007s-20, CIRANO.
    20. Mahenc, Philippe & Podesta, Marion, 2012. "The monopolist is not the best environmentalist’s best friend: An example," Economics Letters, Elsevier, vol. 115(3), pages 379-382.

    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:oup:ijlctc:v:17:y:2022:i::p:1061-1074.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/ijlct .

    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.