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Pricing Decision of Three-Level Agricultural Supply Chain Based on Blockchain Traceability and Altruistic Preference

Author

Listed:
  • Tao Li

    (Business School, Shandong University of Technology, Zibo 255000, China)

  • Xiaotong Xu

    (Business School, Shandong University of Technology, Zibo 255000, China)

  • Weirong Liu

    (National Demonstration Center for Experimental Modern Circulation Education, Shanghai Business School, Shanghai 201400, China)

  • Chengdong Shi

    (Business School, Shandong University of Technology, Zibo 255000, China)

Abstract

The traceability of blockchain is crucial to the quality and safety of agricultural products, primarily when bacterial contamination occurs in the agricultural supply chain. To gain a deeper understanding of the impacts on the quality and safety of agricultural products, we built a three-level agricultural supply chain model comprising one retailer, one manufacturer, and one supplier. We aimed to explore the impact of blockchain traceability and retailers’ altruistic preference on pricing decisions and channel member profit, and to then examine the motivation of enterprises to participate in blockchain technology. Our study showed that: (1) blockchain technology has the potential to improve the prices and profits of supply chain members without considering the cost of blockchain; and (2) blockchain technology has the potential to improve the retailer’s price when the unit variable cost of blockchain is higher than a certain threshold. It can also reduce the manufacturer’s price and the supplier’s output. However, the excessive cost of blockchain can also aggravate the double marginalization effect of the supply chain. When both the unit variable cost and the fixed input cost of the blockchain are low, each enterprise has the incentive to participate in the blockchain. (3) In the scenario of the altruistically-preferred retailer, when the blockchain variable cost is lower than a certain threshold, the retailer’s altruistic preferences can improve the manufacturer’s and supplier’s profit, but it will reduce the retailer’s profit.

Suggested Citation

  • Tao Li & Xiaotong Xu & Weirong Liu & Chengdong Shi, 2023. "Pricing Decision of Three-Level Agricultural Supply Chain Based on Blockchain Traceability and Altruistic Preference," Sustainability, MDPI, vol. 15(4), pages 1-25, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3304-:d:1064973
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    References listed on IDEAS

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    1. Saed Alizamir & Foad Iravani & Hamed Mamani, 2019. "An Analysis of Price vs. Revenue Protection: Government Subsidies in the Agriculture Industry," Management Science, INFORMS, vol. 65(1), pages 32-49, January.
    2. Wang, Yuyan & Yu, Zhaoqing & Jin, Mingzhou & Mao, Jiafu, 2021. "Decisions and coordination of retailer-led low-carbon supply chain under altruistic preference," European Journal of Operational Research, Elsevier, vol. 293(3), pages 910-925.
    3. Gabriella M. Hastig & ManMohan S. Sodhi, 2020. "Blockchain for Supply Chain Traceability: Business Requirements and Critical Success Factors," Production and Operations Management, Production and Operations Management Society, vol. 29(4), pages 935-954, April.
    4. Gary Charness & Matthew Rabin, 2002. "Understanding Social Preferences with Simple Tests," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(3), pages 817-869.
    5. De Giovanni, Pietro, 2020. "Blockchain and smart contracts in supply chain management: A game theoretic model," International Journal of Production Economics, Elsevier, vol. 228(C).
    6. Khwanchol Kampan & Takuji W. Tsusaka & Anil Kumar Anal, 2022. "Adoption of Blockchain Technology for Enhanced Traceability of Livestock-Based Products," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    7. Christoph H. Loch & Yaozhong Wu, 2008. "Social Preferences and Supply Chain Performance: An Experimental Study," Management Science, INFORMS, vol. 54(11), pages 1835-1849, November.
    8. Xin Lin & Shu-Chen Chang & Tung-Hsiang Chou & Shih-Chih Chen & Athapol Ruangkanjanases, 2021. "Consumers’ Intention to Adopt Blockchain Food Traceability Technology towards Organic Food Products," IJERPH, MDPI, vol. 18(3), pages 1-19, January.
    9. Jiguang Chen & Ying‐Ju Chen, 2021. "The Impact of Contract Farming on Agricultural Product Supply in Developing Economies," Production and Operations Management, Production and Operations Management Society, vol. 30(8), pages 2395-2419, August.
    10. Luqing Rong & Maozeng Xu, 2022. "Impact of Altruistic Preference and Government Subsidy on the Multinational Green Supply Chain under Dynamic Tariff," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 1928-1958, February.
    11. Fan, Ruguo & Lin, Jinchai & Zhu, Kaiwei, 2019. "Study of game models and the complex dynamics of a low-carbon supply chain with an altruistic retailer under consumers’ low-carbon preference," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 528(C).
    12. Prithviraj Lakkakula & David W. Bullock & William W. Wilson, 2022. "Asymmetric information and blockchains in soybean commodity markets," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 273-298, March.
    13. Normansyah Syahruddin & Matteo Kalchschmidt, 2012. "Sustainable supply chain management in the agricultural sector: a literature review," International Journal of Engineering Management and Economics, Inderscience Enterprises Ltd, vol. 3(3), pages 237-258.
    14. Andoni, Merlinda & Robu, Valentin & Flynn, David & Abram, Simone & Geach, Dale & Jenkins, David & McCallum, Peter & Peacock, Andrew, 2019. "Blockchain technology in the energy sector: A systematic review of challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 143-174.
    15. Genhasi Ge & Daoping Wang & Mesumbe Bianca Epede, 2022. "Pricing Policies of Green Dual-Channel Supply Chain with Fairness Concerns and Altruistic Preferences Based on Consumers’ Environmental Awareness and Channel Preference," IJERPH, MDPI, vol. 19(20), pages 1-28, October.
    16. Chen, Jing & Dong, Ming & Rong, Ying & Yang, Liang, 2018. "Dynamic pricing for deteriorating products with menu cost," Omega, Elsevier, vol. 75(C), pages 13-26.
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