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Analyzing Food Loss in the Fresh Longan Supply Chain: Evidence from Field Survey Measurements

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  • Roengchai Tansuchat

    (Center of Excellence in Econometrics, Faculty of Economics, Chiang Mai University, Chiang Mai 50200, Thailand)

  • Tanachai Pankasemsuk

    (Academic Services and Research, Payap University, Chiang Mai 50000, Thailand)

  • Chanita Panmanee

    (Faculty of Economics, Maejo University, Chiang Mai 50290, Thailand)

  • Tanapol Rattanasamakarn

    (Faculty of Economics, Chiang Mai University, Chiang Mai 50200, Thailand)

  • Konnika Palason

    (Faculty of Economics, Chiang Mai University, Chiang Mai 50200, Thailand)

Abstract

Aligned with Sustainable Development Goal 12 and Sub-Indicator 12.3.1.a, this study rigorously examines food loss dynamics in the longan value chain—encompassing the stages from production to wholesale. Longan, a key commodity in Thailand’s national food loss index calculation, undergoes a comprehensive evaluation following FAO guidelines. This study aims to quantify quantity loss in fresh longan fruit, which pinpoints critical loss stages for targeted policy recommendations. Additionally, it seeks to establish a robust methodology for data collection and calculation, providing a model for evaluating food losses in tropical fruits. Results disclose varying loss percentages across supply chains: quantitative loss 14.07% and qualitative loss 11.02% for domestic consumption, quantitative loss 13.50% and qualitative loss 14.82% for export-bound fresh longans on-season, and quantitative loss 9.85% and qualitative loss 6.52% for export-bound fresh longans off-season. Critical loss stages are identified—particularly over-ripe longan harvesting due to labor shortages and price volatility. Further factors contributing to food losses encompass insufficient pre-harvest handling practices, which result in subsequent post-harvest losses, deficiencies in SO 2 fumigation and storage processes, as well as transportation-related issues. This study’s contribution lies in its comprehensive guidance, emphasizing field survey measurements and aligning with the FAO guidelines, making it a vital tool for quantifying and addressing food loss, especially in the tropical fruit sector.

Suggested Citation

  • Roengchai Tansuchat & Tanachai Pankasemsuk & Chanita Panmanee & Tanapol Rattanasamakarn & Konnika Palason, 2023. "Analyzing Food Loss in the Fresh Longan Supply Chain: Evidence from Field Survey Measurements," Agriculture, MDPI, vol. 13(10), pages 1-31, October.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:10:p:1951-:d:1254598
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    References listed on IDEAS

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    1. Rosalinda Nicastro & Petronia Carillo, 2021. "Food Loss and Waste Prevention Strategies from Farm to Fork," Sustainability, MDPI, vol. 13(10), pages 1-23, May.
    2. Fabi, Carola & Cachia, Franck & Conforti, Piero & English, Alicia & Rosero Moncayo, José, 2021. "Improving data on food losses and waste: From theory to practice," Food Policy, Elsevier, vol. 98(C).
    3. Sabine Ludwig-Ohm & Walter Dirksmeyer & Kathrin Klockgether, 2019. "Approaches to Reduce Food Losses in German Fruit and Vegetable Production," Sustainability, MDPI, vol. 11(23), pages 1-21, November.
    4. Garrone, Paola & Melacini, Marco & Perego, Alessandro, 2014. "Opening the black box of food waste reduction," Food Policy, Elsevier, vol. 46(C), pages 129-139.
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