IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v151y2025ics0140988325008047.html

Synergy between emissions trading system and low-carbon consumption awareness: A multi-agent simulation analysis

Author

Listed:
  • Duan, Mengmeng
  • Wang, Mei
  • Zhou, Xianyang
  • Zhou, Dequn
  • Wu, Fei

Abstract

During the low-carbon transition, industrial enterprises face dual pressures from emissions trading system (ETS) compliance and growing consumer demand for sustainable products. While the individual roles of ETS and consumer low-carbon awareness in reducing CO2 emissions have been well documented, their combined effects remain uncertain, particularly when accounting for heterogeneous firms under regulation and endogenously determined carbon pricing mechanisms. To address this gap, this study constructs a multi-agent model to investigate the joint impact of ETS and consumer low-carbon awareness on emissions, while also elucidating their interaction mechanisms. Drawing on sectoral data from China's seven key industries, this study demonstrates that the coexistence of an ETS and consumer low-carbon awareness accelerates initial-phase decarbonization, primarily by creating first-mover advantages for clean technology adoption. Furthermore, consumer-driven demand for sustainable products not only counterbalances ETS-induced output contraction and price fluctuations but also raises the share of low-carbon value-added revenue by 4–9 % sector-wide.

Suggested Citation

  • Duan, Mengmeng & Wang, Mei & Zhou, Xianyang & Zhou, Dequn & Wu, Fei, 2025. "Synergy between emissions trading system and low-carbon consumption awareness: A multi-agent simulation analysis," Energy Economics, Elsevier, vol. 151(C).
  • Handle: RePEc:eee:eneeco:v:151:y:2025:i:c:s0140988325008047
    DOI: 10.1016/j.eneco.2025.108974
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988325008047
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2025.108974?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Yu, Song-min & Fan, Ying & Zhu, Lei & Eichhammer, Wolfgang, 2020. "Modeling the emission trading scheme from an agent-based perspective: System dynamics emerging from firms’ coordination among abatement options," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1113-1128.
    2. Xu, Mengjie & Li, Xiang & Li, Qianwen & Sun, Chuanwang, 2024. "LNBi-GRU model for coal price prediction and pattern recognition analysis," Applied Energy, Elsevier, vol. 365(C).
    3. Ralf Martin & Mirabelle Muûls & Ulrich J. Wagner, 2016. "The Impact of the European Union Emissions Trading Scheme on Regulated Firms: What Is the Evidence after Ten Years?," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 10(1), pages 129-148.
    4. Yang, Guangyong & Ji, Guojun & Tan, Kim Hua, 2020. "Impact of regulatory intervention and consumer environmental concern on product introduction," International Journal of Production Economics, Elsevier, vol. 230(C).
    5. Demailly, Damien & Quirion, Philippe, 2008. "European Emission Trading Scheme and competitiveness: A case study on the iron and steel industry," Energy Economics, Elsevier, vol. 30(4), pages 2009-2027, July.
    6. Cai, Jianhu & Jiang, Feiying, 2023. "Decision models of pricing and carbon emission reduction for low-carbon supply chain under cap-and-trade regulation," International Journal of Production Economics, Elsevier, vol. 264(C).
    7. Wang, Baixue & Duan, Maosheng, 2022. "Consignment auctions of emissions trading systems: An agent-based approach based on China’s practice," Energy Economics, Elsevier, vol. 112(C).
    8. Tan, Xiujie & Wang, Banban & Wei, Jie & Taghizadeh-Hesary, Farhad, 2023. "The role of carbon pricing in achieving energy transition in the Post-COP26 era: Evidence from China's industrial energy conservation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    9. Mansikkasalo, Anna & Lundmark, Robert & Söderholm, Patrik, 2014. "Market behavior and policy in the recycled paper industry: A critical survey of price elasticity research," Forest Policy and Economics, Elsevier, vol. 38(C), pages 17-29.
    10. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
    11. Anouliès, Lisa, 2017. "Heterogeneous firms and the environment: a cap-and-trade program," Journal of Environmental Economics and Management, Elsevier, vol. 84(C), pages 84-101.
    12. Junming Zhu & Yichun Fan & Xinghua Deng & Lan Xue, 2019. "Low-carbon innovation induced by emissions trading in China," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
    13. Chen, Songyi & Fan, Qianqian, 2025. "Can market-based environmental regulation promote corporate intelligent transformation: Evidence from the carbon emission trading system," Finance Research Letters, Elsevier, vol. 76(C).
    14. Torralba-Díaz, Laura & Schimeczek, Christoph & Kochems, Johannes & Hufendiek, Kai, 2024. "Iterative coupling of a fundamental electricity market model and an agent-based simulation model to reduce the efficiency gap," Energy, Elsevier, vol. 310(C).
    15. Tianli,, 2024. "Endogenous choice of corporate social responsibility and emissions tax: What impact do green consumers have on economic welfare?," International Review of Economics & Finance, Elsevier, vol. 96(PA).
    16. Han, Jian & Tan, Qinliang & Ding, Yihong & Liu, Yuan, 2024. "Exploring the diffusion of low-carbon power generation and energy storage technologies under electricity market reform in China: An agent-based modeling framework for power sector," Energy, Elsevier, vol. 308(C).
    17. Sun, Chuanwang & Tie, Ying & Yu, Lili, 2024. "How to achieve both environmental protection and firm performance improvement: Based on China's carbon emissions trading (CET) policy," Energy Economics, Elsevier, vol. 130(C).
    18. Lee, Kangil & Han, Taek-Whan, 2016. "How vulnerable is the emissions market to transaction costs?: An ABMS Approach," Energy Policy, Elsevier, vol. 90(C), pages 273-286.
    19. Li, Qianwen & Qian, Tingyu & Wang, Jiaqi & Long, Ruyin & Chen, Hong & Sun, Chuanwang, 2023. "Social “win-win” promotion of green housing under the four-subject evolutionary game," Energy Economics, Elsevier, vol. 127(PA).
    20. Wang, Yizhong & Hang, Ye & Wang, Qunwei, 2022. "Joint or separate? An economic-environmental comparison of energy-consuming and carbon emissions permits trading in China," Energy Economics, Elsevier, vol. 109(C).
    21. Li, Changsheng & Qi, Yaping & Liu, Shaohui & Wang, Xu, 2022. "Do carbon ETS pilots improve cities' green total factor productivity? Evidence from a quasi-natural experiment in China," Energy Economics, Elsevier, vol. 108(C).
    22. Morão, Hugo, 2025. "From carbon policy to consumer prices: The economic impact of carbon caps in the Euro Area," Energy Economics, Elsevier, vol. 143(C).
    23. Shao-Zhou Qi & Chao-Bo Zhou & Kai Li & Si-Yan Tang, 2021. "Influence of a pilot carbon trading policy on enterprises’ low-carbon innovation in China," Climate Policy, Taylor & Francis Journals, vol. 21(3), pages 318-336, March.
    24. Chen, Wenbo, 2018. "Retailer-driven carbon emission abatement with consumer environmental awareness and carbon tax: Revenue-sharing versus Cost-sharingAuthor-Name: Yang, Huixiao," Omega, Elsevier, vol. 78(C), pages 179-191.
    25. Jan Abrell & Johanna Cludius & Sascha Lehmann & Joachim Schleich & Regina Betz, 2022. "Corporate Emissions-Trading Behaviour During the First Decade of the EU ETS," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(1), pages 47-83, September.
    26. Wen, Wen & Zhou, P. & Zhang, Fuqiang, 2018. "Carbon emissions abatement: Emissions trading vs consumer awareness," Energy Economics, Elsevier, vol. 76(C), pages 34-47.
    27. Yigang Wei & Xin Liang & Liang Xu & Gang Kou & Julien Chevallier, 2023. "Trading, storage, or penalty? Uncovering firms' decision-making behavior in the Shanghai emissions trading scheme: Insights from agent-based modeling," Post-Print halshs-04250312, HAL.
    28. Feng He & Lin Duan & Jing Hao, 2025. "The impact of managerial climate attention on corporate ESG performance—evidence from China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
    29. Nguyen, The Ninh & Lobo, Antonio & Greenland, Steven, 2016. "Pro-environmental purchase behaviour: The role of consumers' biospheric values," Journal of Retailing and Consumer Services, Elsevier, vol. 33(C), pages 98-108.
    30. Zhu, Rongqi & Wei, Yigang & Tan, Longyan, 2024. "Low-carbon technology adoption and diffusion with heterogeneity in the emissions trading scheme," Applied Energy, Elsevier, vol. 369(C).
    31. Shehawy, Yasser Moustafa & Ali Khan, Syed Md Faisal, 2024. "Consumer readiness for green consumption: The role of green awareness as a moderator of the relationship between green attitudes and purchase intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    32. Zhang, Wenjie & He, Lingling & Yuan, Hongping, 2022. "Enterprises’ decisions on adopting low-carbon technology by considering consumer perception disparity," Technovation, Elsevier, vol. 117(C).
    33. Chai, Qiangfei & Xiao, Zhongdong & Lai, Kee-hung & Zhou, Guanghui, 2018. "Can carbon cap and trade mechanism be beneficial for remanufacturing?," International Journal of Production Economics, Elsevier, vol. 203(C), pages 311-321.
    34. Wei, Yigang & Liang, Xin & Xu, Liang & Kou, Gang & Chevallier, Julien, 2023. "Trading, storage, or penalty? Uncovering firms' decision-making behavior in the Shanghai emissions trading scheme: Insights from agent-based modeling," Energy Economics, Elsevier, vol. 117(C).
    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. Chen, Zhongfei & Zhang, Xiao & Chen, Fanglin, 2021. "Do carbon emission trading schemes stimulate green innovation in enterprises? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    2. Liu, Songyuan & Zhou, Peng & Wang, Mei & Xu, Aobo, 2025. "An agent-based approach to modeling power firms' emission reduction strategies and market dynamics," Applied Energy, Elsevier, vol. 400(C).
    3. Qiang Tu & Limei Zuo & Jianlei Mo & Yingnan Wang, 2026. "Carbon pricing, green innovation, and production efficiency—new evidence from China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 31(3), pages 1-32, March.
    4. Lili Liu & Tiantian Feng & Cheng Zhong & Mingli Cui & Haoran Wang, 2025. "Synergy pathway innovation of carbon emission trading, tradable green certificate and green power trading policies: achieving China’s dual carbon goals," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-28, December.
    5. Yigang Wei & Yuanyuan Shao & Xiaoliang Yang & Keming Zheng & Lupeng Zhang, 2025. "Dynamic interplay in biomass fuel technological innovation: a tripartite evolutionary game analysis," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-15, December.
    6. Xia, Xiqiang & Li, Jiangwen & Wei, Wei & Benkraiem, Ramzi & Abedin, Mohammad Zoynul, 2025. "Emission reduction levels of manufacturers under carbon trading policies," Energy Economics, Elsevier, vol. 141(C).
    7. Li, Zhitang & Zhang, Cuihua & Xu, Henry & Lyu, Ruxia, 2023. "The optimal vehicle product line strategy considering product information disclosure under government carbon regulation," Omega, Elsevier, vol. 119(C).
    8. Flori, Andrea & Borghesi, Simone & Marin, Giovanni, 2024. "The environmental-financial performance nexus of EU ETS firms: A quantile regression approach," Energy Economics, Elsevier, vol. 131(C).
    9. Ren, Jiazhen & Liu, Ying & Ren, Yida & Zhang, Ping, 2025. "Renewable energy investment in China's new demonstration cities: A quasi-natural experiment," Utilities Policy, Elsevier, vol. 96(C).
    10. Zhu, Rongqi & Wei, Yigang & Tan, Longyan, 2024. "Low-carbon technology adoption and diffusion with heterogeneity in the emissions trading scheme," Applied Energy, Elsevier, vol. 369(C).
    11. Shobande, Olatunji A. & Ogbeifun, Lawrence & Tiwari, Aviral Kumar, 2024. "Extricating the impacts of emissions trading system and energy transition on carbon intensity," Applied Energy, Elsevier, vol. 357(C).
    12. Wang, Mei & Liu, Songyuan & Liu, Jiageng & Li, Zhengjun, 2025. "Agent-based modeling of firm's heterogeneous preferences: Implications for trading and technology adoption in electricity-carbon markets," Energy Economics, Elsevier, vol. 148(C).
    13. Jing, Zhongbo & Liu, Zhidong & Wang, Ting & Zhang, Xuan, 2024. "The impact of environmental regulation on green TFP:A quasi-natural experiment based on China's carbon emissions trading pilot policy," Energy, Elsevier, vol. 306(C).
    14. Yu, Song-min & Fan, Ying & Zhu, Lei & Eichhammer, Wolfgang, 2020. "Modeling the emission trading scheme from an agent-based perspective: System dynamics emerging from firms’ coordination among abatement options," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1113-1128.
    15. Fang, Sheng & Lu, Xinsheng & Li, Jianfeng & Qu, Ling, 2018. "Multifractal detrended cross-correlation analysis of carbon emission allowance and stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 551-566.
    16. Wang, Xiaoyan & Du, Qiang & Shi, Jinzhao & Li, Jingtao & Bai, Libiao, 2025. "Comparisons of emission trading scheme implementation modes in a low-carbon supply chain," Socio-Economic Planning Sciences, Elsevier, vol. 99(C).
    17. Lili Zhao & Qingguo Bai & Shihao Liu, 2026. "Dynamic strategy of battery operation in a three-tier new energy vehicle supply chain considering carbon abatement," Operational Research, Springer, vol. 26(2), pages 1-39, June.
    18. Stede, Jan & Pauliuk, Stefan & Hardadi, Gilang & Neuhoff, Karsten, 2021. "Carbon pricing of basic materials: Incentives and risks for the value chain and consumers," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 189.
    19. Chen, Xun-Qi & Ma, Chao-Qun & Ren, Yi-Shuai & Lei, Yu-Tian, 2023. "Carbon allowance auction design of China's ETS: A comprehensive hierarchical system based on blockchain," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 1003-1019.
    20. Weiguang Chen & Qing Guo, 2017. "Assessing the Effect of Carbon Tariffs on International Trade and Emission Reduction of China’s Industrial Products under the Background of Global Climate Governance," Sustainability, MDPI, vol. 9(6), pages 1-17, June.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:eee:eneeco:v:151:y:2025:i:c:s0140988325008047. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    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.