IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i3p1470-d735827.html
   My bibliography  Save this article

Blockchain Adoption in Agricultural Supply Chain for Better Sustainability: A Game Theory Perspective

Author

Listed:
  • Luona Song

    (School of Economics and Management, Beijing Information Science and Technology University, Beijing 100192, China)

  • Yiqing Luo

    (School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China)

  • Zixi Chang

    (FedUni Information Engineering Institute, Hebei University of Science and Technology, Shijiazhuang 050018, China)

  • Chunhua Jin

    (School of Economics and Management, Beijing Information Science and Technology University, Beijing 100192, China)

  • Merveille Nicolas

    (Strategy and Social and Environmental Responsibility Department, University of Quebec in Montreal, Montreal, QC H3C 3P8, Canada)

Abstract

Within the context of the rise of the Internet of Things, blockchain, and other new technologies, telecommunications operators are committed to applying technologies to promote business transformation and upgrading. The government also actively applies technologies to traditional fields to promote social progress. In agriculture, the agricultural supply chain has a low information level and low degree of digitization. The application of blockchain technology in agriculture offers exceptional advantages because of its decentralization, openness, and transparency. Based on the application of blockchain in an agricultural scenario, an evolutionary game model made up of governments, telecom operators, and agricultural enterprises was established to analyze the model’s equilibrium stability and evolutionary stable strategy. Then, numerical simulation was carried out to study the influence of the initial green level, equipment deployment cost, technology operation cost, and other core factors on the tripartite evolution behaviour. The results show that each factor influences the behaviour of a third party in different ways. Finally, according to the simulation results, this paper puts forward practical suggestions, explores the long-term impact of the application cost and sustainable income of blockchain technology on cooperation, and provides new ideas for the governance of China’s traditional fields from the perspective of new technology application.

Suggested Citation

  • Luona Song & Yiqing Luo & Zixi Chang & Chunhua Jin & Merveille Nicolas, 2022. "Blockchain Adoption in Agricultural Supply Chain for Better Sustainability: A Game Theory Perspective," Sustainability, MDPI, vol. 14(3), pages 1-21, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1470-:d:735827
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/3/1470/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/3/1470/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sara Saberi & Mahtab Kouhizadeh & Joseph Sarkis & Lejia Shen, 2019. "Blockchain technology and its relationships to sustainable supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2117-2135, April.
    2. Giulio Caldarelli & Cecilia Rossignoli & Alessandro Zardini, 2020. "Overcoming the Blockchain Oracle Problem in the Traceability of Non-Fungible Products," Sustainability, MDPI, vol. 12(6), pages 1-17, March.
    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. Tan, Yiheng & Huang, Xiying & Li, Wei, 2023. "Does blockchain-based traceability system guarantee information authenticity? An evolutionary game approach," International Journal of Production Economics, Elsevier, vol. 264(C).
    2. Ning, Jiajun & Xiong, Lixin, 2024. "Analysis of the dynamic evolution process of the digital transformation of renewable energy enterprises based on the cooperative and evolutionary game model," Energy, Elsevier, vol. 288(C).
    3. Büşra Ayan & Elif Güner & Semen Son-Turan, 2022. "Blockchain Technology and Sustainability in Supply Chains and a Closer Look at Different Industries: A Mixed Method Approach," Logistics, MDPI, vol. 6(4), pages 1-39, December.
    4. Yan Liu & Chao Shang, 2022. "Application of Blockchain Technology in Agricultural Water Rights Trade Management," Sustainability, MDPI, vol. 14(12), pages 1-10, June.
    5. Xiaolan Wang & Xinli Wang & Jundi Liu & Jing Wang, 2024. "Strategic interactions and market equilibrium in China's agricultural catastrophic insurance," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 70(10), pages 495-512.
    6. Guangxing Wei & Linrong Zhou & Binta Bary, 2022. "Operational Decision and Sustainability of Green Agricultural Supply Chain with Consumer-Oriented Altruism," Sustainability, MDPI, vol. 14(19), pages 1-25, September.

    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. Pattanayak, Sirsha & Ramkumar, M. & Goswami, Mohit & Rana, Nripendra P., 2024. "Blockchain technology and supply chain performance: The role of trust and relational capabilities," International Journal of Production Economics, Elsevier, vol. 271(C).
    2. Wong, Lai-Wan & Tan, Garry Wei-Han & Ooi, Keng-Boon & Chan, Hing Kai, 2024. "Blockchains for SMEs: A Fit-Viability perspective moderated by organizational innovation diffusion for supply chain performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
    3. Abderahman Rejeb & Karim Rejeb & Steve Simske & Horst Treiblmaier, 2021. "Blockchain Technologies in Logistics and Supply Chain Management: A Bibliometric Review," Logistics, MDPI, vol. 5(4), pages 1-28, October.
    4. Ashish Dwivedi & Dindayal Agrawal & Sanjoy Kumar Paul & Saurabh Pratap, 2023. "Modeling the blockchain readiness challenges for product recovery system," Annals of Operations Research, Springer, vol. 327(1), pages 493-537, August.
    5. Kongmanas Yavaprabhas & Mehrdokht Pournader & Stefan Seuring, 2023. "Blockchain as the “trust-building machine” for supply chain management," Annals of Operations Research, Springer, vol. 327(1), pages 49-88, August.
    6. Giulio Caldarelli, 2020. "Exploiting Corporate Governance to Evaluate Blockchain Applications: A Comprehensive Framework," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 166-183.
    7. Vineet Paliwal & Shalini Chandra & Suneel Sharma, 2020. "Blockchain Technology for Sustainable Supply Chain Management: A Systematic Literature Review and a Classification Framework," Sustainability, MDPI, vol. 12(18), pages 1-39, September.
    8. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2021. "Sustainable Supply Chains with Blockchain, IoT and RFID: A Simulation on Order Management," Sustainability, MDPI, vol. 13(11), pages 1-23, June.
    9. Wang, Binni & Wang, Pong & Tu, Yiliu, 2021. "Customer satisfaction service match and service quality-based blockchain cloud manufacturing," International Journal of Production Economics, Elsevier, vol. 240(C).
    10. Yi Wang & Yafei Yang & Zhaoxiang Qin & Yefei Yang & Jun Li, 2023. "A Literature Review on the Application of Digital Technology in Achieving Green Supply Chain Management," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    11. Ulpan Tokkozhina & Ana Lucia Martins & Joao C. Ferreira, 2023. "Multi-tier supply chain behavior with blockchain technology: evidence from a frozen fish supply chain," Operations Management Research, Springer, vol. 16(3), pages 1562-1576, September.
    12. Su, Dan & Zhang, Lijun & Peng, Hua & Saeidi, Parvaneh & Tirkolaee, Erfan Babaee, 2023. "Technical challenges of blockchain technology for sustainable manufacturing paradigm in Industry 4.0 era using a fuzzy decision support system," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    13. Maurizio Massaro & Francesca Dal Mas & Charbel Jose Chiappetta Jabbour & Carlo Bagnoli, 2020. "Crypto‐economy and new sustainable business models: Reflections and projections using a case study analysis," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(5), pages 2150-2160, September.
    14. Yuemei Ding & Dequan Zheng & Xiaoyu Niu, 2023. "Collaborative Green Innovation of Livestock Product Three-Level Supply Chain Traceability System: A Value Co-Creation Perspective," Sustainability, MDPI, vol. 16(1), pages 1-28, December.
    15. Liu Jiaguo & Zhang Huimin & Zhao Huida, 2021. "Blockchain Technology Investment and Sharing Strategy of Port Supply Chain Under Competitive Environment," Journal of Systems Science and Information, De Gruyter, vol. 9(3), pages 280-309, June.
    16. Giuseppe Varavallo & Giuseppe Caragnano & Fabrizio Bertone & Luca Vernetti-Prot & Olivier Terzo, 2022. "Traceability Platform Based on Green Blockchain: An Application Case Study in Dairy Supply Chain," Sustainability, MDPI, vol. 14(6), pages 1-14, March.
    17. Wang, Jiaxin & Zhao, Mu & Huang, Xiang & Song, Zilong & Sun, Di, 2024. "Supply chain diffusion mechanisms for AI applications: A perspective on audit pricing," International Review of Financial Analysis, Elsevier, vol. 93(C).
    18. Büttgen, Marion & al.,, 2021. "Blockchain in Service Management and Service Research - Developing a Research Agenda and Managerial Implications," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 5(2), pages 71-102.
    19. Wang, Chengfu & Chen, Xiangfeng & Xu, Xun & Jin, Wei, 2023. "Financing and operating strategies for blockchain technology-driven accounts receivable chains," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1279-1295.
    20. Mansoureh Beheshti Nejad & Seyed Mahmoud Zanjirchi & Seyed Mojtaba Hosseini Bamakan & Negar Jalilian, 2024. "Blockchain Adoption in Operations Management: A Systematic Literature Review of 14 Years of Research," Annals of Data Science, Springer, vol. 11(4), pages 1361-1389, August.

    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:14:y:2022:i:3:p:1470-:d:735827. 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.