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Game Analysis Between Manufacturer and Retailer Under Carbon Tax Policy

Author

Listed:
  • Jun Yu

    (Jinhe Center for Economic Research, Xi’an Jiaotong University, Xi’an 710049, China)

  • Shihui Yang

    (College of Economics, Jinan University, Guangzhou 510632, China)

  • Zongxian Feng

    (Jinhe Center for Economic Research, Xi’an Jiaotong University, Xi’an 710049, China
    School of Economics and Finance, Xi’an Jiaotong University, Xi’an 710061, China)

Abstract

Considering consumers’ low-carbon preferences, this article analyzes a manufacturer’s price and carbon abatement strategies, as well as a retailer’s price and promotion strategies, in a centralized game, where the manufacturer and the retailer jointly make decisions, and a decentralized game, where the two parties each make decisions simultaneously. This study discusses the impact of the carbon abatement cost coefficient, promotion cost coefficient, sensitivity coefficient of consumer demand to carbon abatement rate or promotion rate, or carbon tax rate on the manufacturer’s carbon abatement rate, commodity’s retail price, and retailer’s promotion rate. This article also discusses the impact of any one of the main parameters on supply chain profit. Through comparisons of the above two games, this article concludes that the former is better than the latter for firms, consumers, and the environment. This article also concludes that a reduction in the carbon abatement cost coefficient, a rise in the sensitivity coefficient of consumer demand to the carbon abatement rate, or a rise in the carbon tax rate increases the manufacturer’s optimal carbon abatement rate. A relatively high carbon abatement rate means relatively low CO 2 emissions, which are environmentally friendly and conducive to sustainable development at the ecological level. The foregoing conclusions provide governments with references for making carbon tax policies and also offer firms references for making decisions.

Suggested Citation

  • Jun Yu & Shihui Yang & Zongxian Feng, 2025. "Game Analysis Between Manufacturer and Retailer Under Carbon Tax Policy," Sustainability, MDPI, vol. 17(13), pages 1-13, July.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:13:p:6183-:d:1695514
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    References listed on IDEAS

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    1. Limin Su & Yongchao Cao & Wenjuan Zhang, 2023. "Low-Carbon Supply Chain Operation Decisions and Coordination Strategies Considering the Consumers’ Preferences," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    2. Wu, Xiaoping & Liu, Peng & Yang, Lin & Shi, Zhuangfei & Lao, Yongshuai, 2024. "Impact of three carbon emission reduction policies on carbon verification behavior: An analysis based on evolutionary game theory," Energy, Elsevier, vol. 295(C).
    3. Aust, Gerhard & Buscher, Udo, 2012. "Vertical cooperative advertising and pricing decisions in a manufacturer–retailer supply chain: A game-theoretic approach," European Journal of Operational Research, Elsevier, vol. 223(2), pages 473-482.
    4. Joseph J. Spengler, 1950. "Vertical Integration and Antitrust Policy," Journal of Political Economy, University of Chicago Press, vol. 58(4), pages 347-347.
    5. Michael Grubb & Alexandra Poncia & Paul Drummond & Karsten Neuhoff & Jean-Charles Hourcade, 2023. "Policy complementarity and the paradox of carbon pricing," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 39(4), pages 711-730.
    6. Hanbo Wu & Yaxin Sun & Yutong Su & Ming Chen & Hongxia Zhao & Qi Li, 2022. "Which Is the Best Supply Chain Policy: Carbon Tax, or a Low-Carbon Subsidy?," Sustainability, MDPI, vol. 14(10), pages 1-20, May.
    7. Rustico, Erica & Dimitrov, Stanko, 2022. "Environmental taxation: The impact of carbon tax policy commitment on technology choice and social welfare," International Journal of Production Economics, Elsevier, vol. 243(C).
    8. Wang, Yuyan & Yu, Zhaoqing & Jin, Mingzhou & Mao, Jiafu, 2021. "Decisions and coordination of retailer-led low-carbon supply chain under altruistic preference," European Journal of Operational Research, Elsevier, vol. 293(3), pages 910-925.
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