IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v85y2025ipds1544612325014187.html

Can blockchain smart contracts improve the operational efficiency of green supply chain emission reduction technologies?

Author

Listed:
  • Yang, Hongwei

Abstract

The application value of blockchain smart contracts (SCs) in the high-frequency trading sector has received considerable attention. Supply chain enterprises are increasingly prioritizing green supply chain (GSC) emission reduction technologies to expedite the achievement of carbon neutrality, thus promoting the implementation of blockchain technology in this area. However, whether the use of blockchain SCs by GSC enterprises effectively improves emission reduction efficiency remains uncertain. Using data from publicly listed companies spanning 2010 to 2023, this study empirically investigates the effects of blockchain SCs on the operational efficiency of emission reduction technologies in GSCs. The findings indicate that the adoption of blockchain SCs significantly enhances the operational efficiency of GSC emission reduction technologies, with large-scale enterprises exhibiting more pronounced efficiency improvements compared to small-scale enterprises. Further analysis reveals that the average education level of corporate executives positively moderates the effect of blockchain SCs on operational efficiency. This study contributes to existing literature by clarifying the role of blockchain in enhancing GSC emission reduction efficiency and proposes targeted policy recommendations to incentivize enterprise adoption of blockchain SCs.

Suggested Citation

  • Yang, Hongwei, 2025. "Can blockchain smart contracts improve the operational efficiency of green supply chain emission reduction technologies?," Finance Research Letters, Elsevier, vol. 85(PD).
    • Handle: RePEc:eee:finlet:v:85:y:2025:i:pd:s1544612325014187
    DOI: 10.1016/j.frl.2025.108163
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612325014187
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2025.108163?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. Mohd. Azmi Khan & Salma Ahmad & Amgad S.D. Khaled, 2022. "An empirical study of green supply chain management practices and environmental performance of Indian manufacturing organisations," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 42(4), pages 480-499.
    2. Sikorski, Janusz J. & Haughton, Joy & Kraft, Markus, 2017. "Blockchain technology in the chemical industry: Machine-to-machine electricity market," Applied Energy, Elsevier, vol. 195(C), pages 234-246.
    3. Hua, Weiqi & Chen, Ying & Qadrdan, Meysam & Jiang, Jing & Sun, Hongjian & Wu, Jianzhong, 2022. "Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhou, Ying & Gao, Tao & Bu, Wankui & Wang, Qingyuan & Ran, Shengcai, 2025. "Blockchain technology development, green finance, and urban public transportation service level," Finance Research Letters, Elsevier, vol. 86(PF).

    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. Anh Viet Tran & Bui Thanh Khoa, 2025. "Systematic Review of Blockchain Business Applications and the Metaverse," SAGE Open, , vol. 15(4), pages 21582440251, November.
    2. Zhao, Qian & Wang, Lu & Stan, Sebastian-Emanuel & Mirza, Nawazish, 2024. "Can artificial intelligence help accelerate the transition to renewable energy?," Energy Economics, Elsevier, vol. 134(C).
    3. Tandon, Anushree & Kaur, Puneet & Mäntymäki, Matti & Dhir, Amandeep, 2021. "Blockchain applications in management: A bibliometric analysis and literature review," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    4. Byeongtae Ahn, 2022. "Implementation and Early Adoption of an Ethereum-Based Electronic Voting System for the Prevention of Fraudulent Voting," Sustainability, MDPI, vol. 14(5), pages 1-16, March.
    5. Shengmin Tan & Xu Wang & Chuanwen Jiang, 2019. "Privacy-Preserving Energy Scheduling for ESCOs Based on Energy Blockchain Network," Energies, MDPI, vol. 12(8), pages 1-16, April.
    6. Wang, Lu & Gu, Wei & Wu, Zhi & Qiu, Haifeng & Pan, Guangsheng, 2020. "Non-cooperative game-based multilateral contract transactions in power-heating integrated systems," Applied Energy, Elsevier, vol. 268(C).
    7. Samet Gunay & Emrah Ismail Cevik & Dávid Zoltán Szabó, 2025. "Engagement of true intelligence in financial forecasting: interactions of blockchained sectors and artificial intelligence," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-28, December.
    8. Yuki Matsuda & Yuto Yamazaki & Hiromu Oki & Yasuhiro Takeda & Daishi Sagawa & Kenji Tanaka, 2021. "Demonstration of Blockchain Based Peer to Peer Energy Trading System with Real-Life Used PHEV and HEMS Charge Control," Energies, MDPI, vol. 14(22), pages 1-12, November.
    9. Young-Gyun Ahn & Taeil Kim & Bo-Ram Kim & Min-Kyu Lee, 2022. "A Study on the Development Priority of Smart Shipping Items—Focusing on the Expert Survey," Sustainability, MDPI, vol. 14(11), pages 1-21, June.
    10. Oprea, Simona-Vasilica & Bâra, Adela, 2024. "Generative literature analysis on the rise of prosumers and their influence on the sustainable energy transition," Utilities Policy, Elsevier, vol. 90(C).
    11. Chand Bhatt, Priyanka & Kumar, Vimal & Lu, Tzu-Chuen & Daim, Tugrul, 2021. "Technology convergence assessment: Case of blockchain within the IR 4.0 platform," Technology in Society, Elsevier, vol. 67(C).
    12. Joao C. Ferreira, 2025. "Bridging the Gaps: Future Directions for Blockchain and IoT Integration in Smart Grids," Energies, MDPI, vol. 18(4), pages 1-6, February.
    13. Guilherme Luz Tortorella & Flavio S. Fogliatto & Michel J. Anzanello & Alejandro Mac Cawley Vergara & Roberto Vassolo & Jose Arturo Garza-Reyes, 2023. "Modeling the impact of industry 4.0 base technologies on the development of organizational learning capabilities," Operations Management Research, Springer, vol. 16(3), pages 1091-1104, September.
    14. Maciel M. Queiroz & Samuel Fosso Wamba & Charbel Jose Chiappetta Jabbour & Ana Beatriz Lopes de Sousa Jabbour & Marcio Cardoso Machado, 2025. "Adoption of Industry 4.0 technologies by organizations: a maturity levels perspective," Annals of Operations Research, Springer, vol. 348(3), pages 1989-2015, May.
    15. Jian Wang & Qianggang Wang & Niancheng Zhou & Yuan Chi, 2017. "A Novel Electricity Transaction Mode of Microgrids Based on Blockchain and Continuous Double Auction," Energies, MDPI, vol. 10(12), pages 1-22, November.
    16. Anna Adamik & Michał Nowicki & Andrius Puksas, 2022. "Energy Oriented Concepts and Other SMART WORLD Trends as Game Changers of Co-Production—Reality or Future?," Energies, MDPI, vol. 15(11), pages 1-38, June.
    17. Silvia H. Bonilla & Helton R. O. Silva & Marcia Terra da Silva & Rodrigo Franco Gonçalves & José B. Sacomano, 2018. "Industry 4.0 and Sustainability Implications: A Scenario-Based Analysis of the Impacts and Challenges," Sustainability, MDPI, vol. 10(10), pages 1-24, October.
    18. Ma, Chao-Qun & Lei, Yu-Tian & Ren, Yi-Shuai & Chen, Xun-Qi & Wang, Yi-Ran & Narayan, Seema, 2024. "Systematic analysis of the blockchain in the energy sector: Trends, issues, and future directions," Telecommunications Policy, Elsevier, vol. 48(2).
    19. Hong, Juwon & Song, Eunseong & Choi, Jinwoo & Song, Sangkil & Kim, Hakpyeong & Kang, Hyuna & Hong, Taehoon, 2026. "Integrating blockchain with virtual power plants: Two-level future roadmaps for enhanced performance," Technology in Society, Elsevier, vol. 84(C).
    20. Seong-Kyu Kim & Jun-Ho Huh, 2018. "A Study on the Improvement of Smart Grid Security Performance and Blockchain Smart Grid Perspective," Energies, MDPI, vol. 11(8), pages 1-22, July.

    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:finlet:v:85:y:2025:i:pd:s1544612325014187. 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/frl .

    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.