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The Choice of Carbon Labels and the Impact of Ambiguity Under Market Differences Based on a Game Framework

Author

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  • Wenkang Yi

    (School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100190, China)

  • Hongli Liang

    (School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100190, China)

  • Zhaofu Yang

    (School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100190, China)

Abstract

As a carbon reduction tool that discloses the green quality information of products, a unified standard for the evaluation and identification of carbon labeling has not yet been established. Given the diverse market environments and the different types of carbon labels, selecting an appropriate carbon label can create greater value for both the businesses and the society. This paper constructs a game model involving green and non-green firms to explore the heterogeneous firms’ carbon label choices and green decisions under two market structures. Using a numerical comparative analysis, it examines the social value of carbon labeling schemes in various scenarios. The study finds that (1) enhancing consumer environmental awareness (CEA) and competition intensity contributes to economic and social benefits, while an increased ambiguity in carbon labeling may suppress system efficiency; (2) carbon labeling schemes always generate profits for green firms but do not necessarily benefit non-green firms; (3) in a monopolistic competition market, self-certified labeling (SCL) is more beneficial for improving social welfare, whereas the opposite holds in an oligopolistic competition setting, but in both market structures, third-party certified labeling (TCL) maximizes environmental benefits; and that (4) for the same type of carbon label, environmental improvements vary significantly across market structures, whereas firms’ carbon label choices have a relatively minor impact on environmental benefits. This research provides valuable managerial insights for firms’ green decision-making and carbon label standard selection in different markets.

Suggested Citation

  • Wenkang Yi & Hongli Liang & Zhaofu Yang, 2025. "The Choice of Carbon Labels and the Impact of Ambiguity Under Market Differences Based on a Game Framework," Sustainability, MDPI, vol. 17(8), pages 1-31, April.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:8:p:3477-:d:1633989
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    References listed on IDEAS

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    1. Cohen, Mark A. & Vandenbergh, Michael P., 2012. "The potential role of carbon labeling in a green economy," Energy Economics, Elsevier, vol. 34(S1), pages 53-63.
    2. Rui Zhao & Dingye Wu & Sebastiano Patti, 2020. "A Bibliometric Analysis of Carbon Labeling Schemes in the Period 2007–2019," Energies, MDPI, vol. 13(16), pages 1-16, August.
    3. Shewmake, Sharon & Okrent, Abigail & Thabrew, Lanka & Vandenbergh, Michael, 2015. "Predicting consumer demand responses to carbon labels," Ecological Economics, Elsevier, vol. 119(C), pages 168-180.
    4. Jingyang Duan & Mingyang Zhang & Baodong Cheng, 2023. "Study on Consumers’ Purchase Intentions for Carbon-Labeled Products," Sustainability, MDPI, vol. 15(2), pages 1-16, January.
    5. Edenbrandt, Anna Kristina & Nordström, Jonas, 2023. "The future of carbon labeling – Factors to consider," Agricultural and Resource Economics Review, Cambridge University Press, vol. 52(1), pages 151-167, April.
    6. Sergio Vitale & Federica Biondo & Cristina Giosuè & Gioacchino Bono & Charles Odilichukwu R. Okpala & Ignazio Piazza & Mario Sprovieri & Vito Pipitone, 2020. "Consumers’ Perception and Willingness to Pay for Eco-Labeled Seafood in Italian Hypermarkets," Sustainability, MDPI, vol. 12(4), pages 1-13, February.
    7. Hong, Zhaofu & Guo, Xiaolong, 2019. "Green product supply chain contracts considering environmental responsibilities," Omega, Elsevier, vol. 83(C), pages 155-166.
    8. Wanting Chen & Zhi-Hua Hu, 2020. "Analysis of Multi-Stakeholders’ Behavioral Strategies Considering Public Participation under Carbon Taxes and Subsidies: An Evolutionary Game Approach," Sustainability, MDPI, vol. 12(3), pages 1-26, January.
    9. Yonghong Cheng & Hui Sun & Fu Jia & Lenny Koh, 2018. "Pricing and Low-Carbon Investment Decisions in an Emission Dependent Supply Chain under a Carbon Labelling Scheme," Sustainability, MDPI, vol. 10(4), pages 1-17, April.
    10. Cho, Yoon-Na & Taylor, Charles R., 2020. "The role of ambiguity and skepticism in the effectiveness of sustainability labeling," Journal of Business Research, Elsevier, vol. 120(C), pages 379-388.
    11. Panitas Sureeyatanapas & Kanittha Yodprang & Viganda Varabuntoonvit, 2021. "Drivers, Barriers and Benefits of Product Carbon Footprinting: A State-of-the-Art Survey of Thai Manufacturers," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
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