IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v46y2025i3p1602-1627.html
   My bibliography  Save this article

How to Achieve Cooperative Emission Reduction in Low‐Carbon Service Supply Chains: An Evolutionary Game‐Theoretic Study

Author

Listed:
  • Yingying Xu
  • Jinshi Wang
  • Ao Cheng
  • Lijing Wang

Abstract

In a low‐carbon service supply chain, consisting of a carbon‐dependent manufacturer and a low‐carbon service company, a dual contract for revenue sharing and guaranteed carbon reduction promotes sustainable collaboration and emission reduction. However, adjusting contract terms and collaborative relationships when negative cooperative behavior occurs or a collaboration impasse arises remains underexplored. Thus, we constructed an evolutionary game model to analyze cooperative behaviors between carbon‐dependent manufacturers and low‐carbon service companies. Through stability analysis, we identify conditions for active commitment. Importantly, potential negative strategies may hinder optimal cooperative emission reduction, leading to a cooperative deadlock. Numerical simulations reveal the following: (1) Higher guaranteed carbon reduction targets or moderate liquidated deposit can prevent negative behaviors. (2) Changing the allocation ratio of carbon trading revenue or government subsidies helps the chain move towards cooperation. (3) Service innovation facilitates positive cooperation; however, low‐carbon service companies must possess the capability to translate their level of service innovation into carbon reduction performance. Furthermore, the mechanisms through which utilitarian and exploratory service innovations influence cooperative decision‐making differ. (4) When supply chain members find themselves in a decision‐making impasse, in addition to moderately increasing the carbon reduction guarantee amount or the penalties for failing to meet carbon reduction targets, enhancing the distribution ratio of carbon trading revenues for carbon‐dependent manufacturers, increasing the allocation of government subsidies, and implementing service innovations can also help break the deadlock. (5) Combined carbon trading policies and government subsidies effectively promote sustainability compared to singular adoption. These findings impact cooperative emission reduction in low‐carbon service supply chains and policy formulation. The conclusions of this paper have implications for the maintenance of cooperative emission reduction relationships among members in the operation of low‐carbon service supply chains and the formulation of policies.

Suggested Citation

  • Yingying Xu & Jinshi Wang & Ao Cheng & Lijing Wang, 2025. "How to Achieve Cooperative Emission Reduction in Low‐Carbon Service Supply Chains: An Evolutionary Game‐Theoretic Study," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(3), pages 1602-1627, April.
  • Handle: RePEc:wly:mgtdec:v:46:y:2025:i:3:p:1602-1627
    DOI: 10.1002/mde.4453
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/mde.4453
    Download Restriction: no

    File URL: https://libkey.io/10.1002/mde.4453?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
    ---><---

    References listed on IDEAS

    as
    1. Ding, Huiping & Zhao, Qilan & An, Zhirong & Tang, Ou, 2016. "Collaborative mechanism of a sustainable supply chain with environmental constraints and carbon caps," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 191-207.
    2. Jianjun Ouyang & Jie Fu, 2020. "Optimal strategies of improving energy efficiency for an energy-intensive manufacturer considering consumer environmental awareness," International Journal of Production Research, Taylor & Francis Journals, vol. 58(4), pages 1017-1033, February.
    3. Ouyang, Jianjun & Ju, Peng, 2017. "The choice of energy saving modes for an energy-intensive manufacturer under non-coordination and coordination scenarios," Energy, Elsevier, vol. 126(C), pages 733-745.
    4. Cai, Qihai & Wu, Jiahua & Wu, Ting & Chang, Po-Chien & Mardani, Abbas, 2024. "The impact of digital leadership on hidden champions’ competitive advantage: A moderated mediation model of ambidextrous innovation and value co-creation," Journal of Business Research, Elsevier, vol. 182(C).
    5. Guanghua Han & Ming Dong, 2015. "Trust-embedded coordination in supply chain information sharing," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5624-5639, September.
    6. Feng, Zhuo & Zhang, Shui-Bo & Gao, Ying, 2014. "On oil investment and production: A comparison of production sharing contracts and buyback contracts," Energy Economics, Elsevier, vol. 42(C), pages 395-402.
    7. Belhadi, Amine & Kamble, Sachin S. & Venkatesh, Mani & Chiappetta Jabbour, Charbel Jose & Benkhati, Imane, 2022. "Building supply chain resilience and efficiency through additive manufacturing: An ambidextrous perspective on the dynamic capability view," International Journal of Production Economics, Elsevier, vol. 249(C).
    8. Alexandre Dolgui & Dmitry Ivanov & Semyon Potryasaev & Boris Sokolov & Marina Ivanova & Frank Werner, 2020. "Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 2184-2199, April.
    9. Amine Belhadi & Sachin S. Kamble & Venkatesh Mani & Charbel Jose Chiappetta Jabbour & Imane Benkhati, 2022. "Building supply chain resilience and efficiency through additive manufacturing : An ambidextrous perspective on the dynamic capability view," Post-Print hal-04325568, HAL.
    10. Jinjin Liu & Hua Ke & Yuan Gao, 2022. "Manufacturer’s R &D cooperation contract: linear fee or revenue-sharing payment in a low-carbon supply chain," Annals of Operations Research, Springer, vol. 318(1), pages 323-355, November.
    11. Zhongyi Liu & Shengya Hua & Guanying Wang, 2021. "Coordinating Vulnerable Supply Chains with Option Contracts," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 38(04), pages 1-30, August.
    12. Liu, Hongguang & Liu, Weidong & Fan, Xiaomei & Zou, Wei, 2015. "Carbon emissions embodied in demand–supply chains in China," Energy Economics, Elsevier, vol. 50(C), pages 294-305.
    13. Nelly Bart & Tatyana Chernonog & Tal Avinadav, 2021. "Revenue-sharing contracts in supply chains: a comprehensive literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 59(21), pages 6633-6658, November.
    14. Sahani Rathnasiri & Pritee Ray & Carlos A. Vega-Mejía & Sardar M. N. Islam & Nripendra P. Rana & Yogesh K. Dwivedi, 2022. "Optimising small-scale electronic commerce supply chain operations: a dynamic cost-sharing contract approach," Annals of Operations Research, Springer, vol. 318(1), pages 453-499, November.
    15. Xing, Yijun & Liu, Yipeng, 2023. "Integrating product-service innovation into green supply chain management from a life cycle perspective: A systematic review and future research directions," Technovation, Elsevier, vol. 126(C).
    16. Paton, Robert A. & McLaughlin, Stephen, 2008. "Services innovation:: Knowledge transfer and the supply chain," European Management Journal, Elsevier, vol. 26(2), pages 77-83, April.
    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. Xi, Mengjie & Liu, Yang & Fang, Wei & Feng, Taiwen, 2024. "Intelligent manufacturing for strengthening operational resilience during the COVID-19 pandemic: A dynamic capability theory perspective," International Journal of Production Economics, Elsevier, vol. 267(C).
    2. Alexander Mahr & Thomas Schütt & Tobias Rosnitschek & Stephan Tremmel & Frank Döpper, 2024. "Evaluation of Powder- and Extrusion-Based Metal Additive Manufacturing Processes for the Sustainable Fabrication of Spare Parts in Electromobility," Sustainability, MDPI, vol. 16(8), pages 1-16, April.
    3. Henry Ataburo & Getrude Effah Ampong & Dominic Essuman, 2024. "Developing operational resilience to navigate transportation disruptions: the role and boundaries of efficiency priority," Annals of Operations Research, Springer, vol. 340(2), pages 723-755, September.
    4. Caputo, A.C. & Donati, L. & Salini, P., 2023. "Estimating resilience of manufacturing plants to physical disruptions: Model and application," International Journal of Production Economics, Elsevier, vol. 266(C).
    5. Md Maruf Hossan Chowdhury & Priyabrata Chowdhury & Mohammed Quaddus & Kazi Waziur Rahman & Sakib Shahriar, 2024. "Flexibility in Enhancing Supply Chain Resilience: Developing a Resilience Capability Portfolio in the Event of Severe Disruption," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 25(2), pages 395-417, June.
    6. Marty, Justine & Ruel, Salomée, 2024. "Why is “supply chain collaboration” still a hot topic? A review of decades of research and a comprehensive framework proposal," International Journal of Production Economics, Elsevier, vol. 273(C).
    7. Giacosa, Elisa & Crocco, Edoardo & Kubálek, Jan & Culasso, Francesca, 2024. "Additive manufacturing in international business: Bridging academic and practitioners' perspectives," Journal of International Management, Elsevier, vol. 30(3).
    8. Shubhendu Singh & Subhas Chandra Misra & Gaurvendra Singh, 2024. "Leveraging Additive Manufacturing for Enhanced Supply Chain Resilience and Sustainability: A Strategic Integration Framework," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 25(2), pages 343-368, June.
    9. Muhammad Khan & Karl Behrendt & Dimitrios Papadas & Lydia Arnold, 2025. "‘Strategic sustainable development: The role of intermediaries in managing the sustainability compliance of a multi‐tier crop agri‐food supply chain. A developing economy perspective’," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(1), pages 992-1013, February.
    10. Fang Dong & Chengdong Shi & Weitong Yu, 2022. "Coordinated Decision-Making in Embedded Supply Chain from a Sustainable Development Perspective," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    11. Dolores Gallardo-Vázquez & Sabina Scarpellini & Alfonso Aranda-Usón & Carlos Fernández-Bandera, 2024. "How does the circular economy achieve social change? Assessment in terms of sustainable development goals," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-18, December.
    12. Avinadav, Tal & Levy, Priel, 2023. "The effect of an uncertain commission rate on the decisions of a capital-constrained developer," Operations Research Perspectives, Elsevier, vol. 11(C).
    13. Ma, Shuaiyin & Ding, Wei & Liu, Yang & Ren, Shan & Yang, Haidong, 2022. "Digital twin and big data-driven sustainable smart manufacturing based on information management systems for energy-intensive industries," Applied Energy, Elsevier, vol. 326(C).
    14. Yen Sheng Tsai & Wei-Hsi Hung, 2023. "A low-cost intelligent tracking system for clothing manufacturers," Journal of Intelligent Manufacturing, Springer, vol. 34(2), pages 473-491, February.
    15. Xia, Jing & Zheng, Yan & Yang, Lehe & Xiao, Yujie, 2024. "Government intervention in green technology innovation: The carrot, the stick or both?," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    16. Jiang, Meihui & An, Haizhong & Guan, Qing & Sun, Xiaoqi, 2018. "Global embodied mineral flow between industrial sectors: A network perspective," Resources Policy, Elsevier, vol. 58(C), pages 192-201.
    17. Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris, 2022. "Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    18. Hu, Xinru & Zhou, Shuiyin & Luo, Xiaomeng & Li, Jianbin & Zhang, Chi, 2024. "Optimal pricing strategy of an on-demand platform with cross-regional passengers," Omega, Elsevier, vol. 122(C).
    19. Lin Chen & Jin Peng & Zhibing Liu & Ruiqing Zhao, 2017. "Pricing and effort decisions for a supply chain with uncertain information," International Journal of Production Research, Taylor & Francis Journals, vol. 55(1), pages 264-284, January.
    20. Zhiyuan Wang & Zhiqiang (Eric) Zheng & Wei Jiang & Shaojie Tang, 2021. "Blockchain‐Enabled Data Sharing in Supply Chains: Model, Operationalization, and Tutorial," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 1965-1985, July.

    More about this item

    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:wly:mgtdec:v:46:y:2025:i:3:p:1602-1627. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    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.