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Tracing Information for Agricultural Product and Identifying Key Regulatory Decisions towards Eco-Economics Sustainability

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  • Xinyu Ma
  • Qing Zhang
  • Liu Zhi

Abstract

Information traceability of agricultural products is of vital importance in the supply chain in the ongoing wave of big data relying on a group of advanced technologies, such as blockchain. This paper investigates how to effectively supervise and manage the agricultural supply chain with regard to information traceability. Starting from establishing a system framework for tracing and querying information by applying BigchainDB, this paper combines Decision Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP) to identify and assess the key regulatory decisions for the government for both economic and ecological purposes. The final results obtained by DEMATEL and ANP are consistent. The vital role of the planting link in eco-economics sustainability is affirmed. Through analyzing the demands of supply chain practitioners, as well as both economic and ecologic views of key points, the qualification information is attached significance. And the preservation and storage processes also deserve attention.

Suggested Citation

  • Xinyu Ma & Qing Zhang & Liu Zhi, 2022. "Tracing Information for Agricultural Product and Identifying Key Regulatory Decisions towards Eco-Economics Sustainability," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-17, April.
    • Handle: RePEc:hin:jnlmpe:8142802
    DOI: 10.1155/2022/8142802
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