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Green ambitions: A comprehensive model for enhanced traceability in agricultural product supply chain to ensure quality and safety

Research output: Contribution to journal › Article › peer-review

35 Citations (Scopus)

Abstract

The quality and safety traceability in the supply chain of agricultural products can tackle low safety and poor transparency and improve consumer buying experiences. Despite consumer green ambitions, agricultural product quality and safety traceability are still lacking. The commercial development concept of the entire agricultural product industrial chain under “Internet + agriculture” is combined with consumers' green expectations. Using Python programming, the text data from web pages are analyzed to obtain and construct the Latent Dirichlet Allocation (LDA) model. The paper identifies the factors influencing the quality and safety traceability of the agricultural product industrial chain under consumers’ green demands, improving the existing traceability model. Finally, the study suggests feasible recommendations, including simplifying product packaging, increasing the number of local dealers and sales in the local market, and timely updating authentic and reliable information in the traceability system.

Original languageEnglish
Article number138397
JournalJournal of Cleaner Production
Volume420
DOIs
Publication statusPublished - 25 Sept 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Agricultural products
  • Green demands
  • Industrial chain
  • LDA model
  • Traceability

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