IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i3p1264-d1583620.html
   My bibliography  Save this article

Enterprise Scenario Analysis: A Systematic Framework for Monetizing CO 2 Compliance

Author

Listed:
  • Wei Long

    (School of Electromechanical and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400064, China)

  • Zhenfei Zhan

    (School of Electromechanical and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400064, China)

  • Cheng Hong

    (School of Electromechanical and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400064, China)

  • Liuzhu Qian

    (School of Electromechanical and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400064, China)

Abstract

The global automotive industry is currently undergoing a period of radical transformation as a result of the ongoing electrification of automobiles. China has established rigorous energy-saving and emission-reduction targets and regulations. Consequently, the automotive industry must take into account the limitations of carbon emission reduction and carbon trading when formulating major business strategies. A related question is how “internal incentives” should be set to maximize the variable profitability of automotive companies while meeting compliance constraints. In response, in this study, a unified and mutually consistent modeling framework for enterprise scenario analysis is proposed to align the product portfolio within an enterprise. Firstly, a game model of the new energy vehicle market is proposed to forecast general trends and provide forward-looking inputs for firms to develop business plans. Next, this paper proposes a framework for monetizing CO 2 compliance using the Pigovian tax/subsidy concept. The equilibrium is achieved through the imposition of a tax or subsidy by the company on each of its internal models. Utilizing historical data from A Motors, we clearly illustrate how our approach works and demonstrate its consistency with observations of the new energy vehicle market.

Suggested Citation

  • Wei Long & Zhenfei Zhan & Cheng Hong & Liuzhu Qian, 2025. "Enterprise Scenario Analysis: A Systematic Framework for Monetizing CO 2 Compliance," Sustainability, MDPI, vol. 17(3), pages 1-20, February.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:3:p:1264-:d:1583620
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/3/1264/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/3/1264/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hao, Han & Geng, Yong & Sarkis, Joseph, 2016. "Carbon footprint of global passenger cars: Scenarios through 2050," Energy, Elsevier, vol. 101(C), pages 121-131.
    2. Yu, Yi & Zhou, Dequn & Zha, Donglan & Wang, Qunwei & Zhu, Qingyuan, 2021. "Optimal production and pricing strategies in auto supply chain when dual credit policy is substituted for subsidy policy," Energy, Elsevier, vol. 226(C).
    3. Faizul Haque & Collins G. Ntim, 2022. "Do corporate sustainability initiatives improve corporate carbon performance? Evidence from European firms," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3318-3334, November.
    4. Yu, Hui & Li, Ying & Wang, Wei, 2023. "Optimal innovation strategies of automakers with market competition under the dual-credit policy," Energy, Elsevier, vol. 283(C).
    5. Luo, Qi & Saigal, Romesh & Chen, Zhibin & Yin, Yafeng, 2019. "Accelerating the adoption of automated vehicles by subsidies: A dynamic games approach," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 226-243.
    6. Ma, Miaomiao & Meng, Weidong & Li, Yuyu & Huang, Bo, 2023. "Impact of dual credit policy on new energy vehicles technology innovation with information asymmetry," Applied Energy, Elsevier, vol. 332(C).
    7. Qingliang Tang & Le Luo, 2014. "Carbon Management Systems and Carbon Mitigation," Australian Accounting Review, CPA Australia, vol. 24(1), pages 84-98, March.
    8. Qi Luo & Romesh Saigal, 2020. "Dynamic Multiagent Incentive Contracts: Existence, Uniqueness, and Implementation," Mathematics, MDPI, vol. 9(1), pages 1-17, December.
    9. Kangda Chen & Fuquan Zhao & Han Hao & Zongwei Liu & Xinglong Liu, 2021. "Hierarchical Optimization Decision-Making Method to Comply with China’s Fuel Consumption and New Energy Vehicle Credit Regulations," Sustainability, MDPI, vol. 13(14), pages 1-25, July.
    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. Xu, Zirui & Li, Ying & Li, Feifan, 2024. "Electric vehicle supply chain under dual-credit and subsidy policies: Technology innovation, infrastructure construction and coordination," Energy Policy, Elsevier, vol. 195(C).
    2. Liangui Peng & Ying Li & Hui Yu, 2021. "Effects of Dual Credit Policy and Consumer Preferences on Production Decisions in Automobile Supply Chain," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    3. Provaty, Sagira Sultana & Hasan, Mostafa Monzur & Luo, Le, 2024. "Organization capital and GHG emissions," Energy Economics, Elsevier, vol. 131(C).
    4. Yi, Yongxi & Zhang, Meng & Zhang, Aoxiang & Li, Yuqiong, 2024. "Can “dual credit” replace “subsidies” successfully? -based on analysis of vehicle supply chain decisions under the digital transformation of technology," Energy Economics, Elsevier, vol. 130(C).
    5. Fengxue Yin & Yanling Xiao & Rui Cao & Jianhua Zhang, 2023. "Impacts of ESG Disclosure on Corporate Carbon Performance: Empirical Evidence from Listed Companies in Heavy Pollution Industries," Sustainability, MDPI, vol. 15(21), pages 1-19, October.
    6. Li, Ruonan & Lu, Feng & Xu, Jun & Chen, Kai & Zhao, Xiaoli, 2023. "Effect of carbon information disclosure with consistent evaluation standards: An empirical study about carbon efficiency label in Huzhou China," Energy Policy, Elsevier, vol. 181(C).
    7. Hao, Wu & Martin, Layla, 2022. "Prohibiting cherry-picking: Regulating vehicle sharing services who determine fleet and service structure," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    8. Yangyang Wang & Yongxi Yi & Chunyan Fu & Yuqiong Li, 2023. "Price competition and joint energy‐consumption reduction technology investment of new energy and fuel vehicles under the double‐points policy," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2278-2291, June.
    9. Dwi Ratmono & Darsono Darsono & Selviana Selviana, 2021. "Effect of Carbon Performance, Company Characteristics and Environmental Performance on Carbon Emission Disclosure: Evidence from Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 101-109.
    10. Binh Bui & Carolyn Fowler, 2022. "Carbon controls in a New Zealand electricity utility: An application of theoretical triangulation," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(4), pages 4423-4451, December.
    11. Ma, Zhenliang & Koutsopoulos, Haris N. & Liu, Tianyou & Basu, Abhishek Arunasis, 2020. "Behavioral response to promotion-based public transport demand management: Longitudinal analysis and implications for optimal promotion design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 356-372.
    12. Daniele Lerede & Chiara Bustreo & Francesco Gracceva & Yolanda Lechón & Laura Savoldi, 2020. "Analysis of the Effects of Electrification of the Road Transport Sector on the Possible Penetration of Nuclear Fusion in the Long-Term European Energy Mix," Energies, MDPI, vol. 13(14), pages 1-25, July.
    13. Li, Fangmin & Goodell, John W. & Du, Anna Min & Yang, Tianle, 2024. "Ecological risk management: Effects of carbon risk on firm innovation investment," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    14. Wu, Tian & Shen, Qu & Xu, Ming & Peng, Tianduo & Ou, Xunmin, 2018. "Development and application of an energy use and CO2 emissions reduction evaluation model for China's online car hailing services," Energy, Elsevier, vol. 154(C), pages 298-307.
    15. Habiba Al‐Shaer & Yang Stephanie Liu & Khaldoon Albitar, 2024. "Driving businesses towards a better climate: Macro and micro mechanisms to protect the planet," Business Strategy and the Environment, Wiley Blackwell, vol. 33(3), pages 1810-1833, March.
    16. Zhao, Yujie & Yang, Yuanyuan & Hua, Min & Chan, Kam C., 2024. "Social credit scoring system and corporate pollution governance: Insights from China's Social Credit System Construction," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    17. Chen, Feng & Wu, Bin & Lou, Wen-qian & Zhu, Bo-wen, 2024. "Impact of dual-credit policy on diffusion of technology R & D among automakers: Based on an evolutionary game model with technology-spillover in complex network," Energy, Elsevier, vol. 303(C).
    18. Poder, Thomas G. & He, Jie, 2017. "Willingness to pay for a cleaner car: The case of car pollution in Quebec and France," Energy, Elsevier, vol. 130(C), pages 48-54.
    19. Tesfaye T. Lemma & Mehrzad Azmi Shabestari & Martin Freedman & Mthokozisi Mlilo, 2020. "Corporate carbon risk exposure, voluntary disclosure, and financial reporting quality," Business Strategy and the Environment, Wiley Blackwell, vol. 29(5), pages 2130-2143, July.
    20. Mo, Lipo & Cui, Zhaoyu & Jia, Rongwen & Dong, Kangyin & Zhao, Chuan, 2024. "How does autonomous vehicles affect taxi industry? A two-stage Van Damme based tripartite evolutionary game perspective," Research in Transportation Economics, Elsevier, vol. 103(C).

    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:17:y:2025:i:3:p:1264-:d:1583620. 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.