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

Author:

Tansuchat Roengchai1,Pankasemsuk Tanachai2,Panmanee Chanita3,Rattanasamakarn Tanapol4,Palason Konnika4

Affiliation:

1. Center of Excellence in Econometrics, Faculty of Economics, Chiang Mai University, Chiang Mai 50200, Thailand

2. Academic Services and Research, Payap University, Chiang Mai 50000, Thailand

3. Faculty of Economics, Maejo University, Chiang Mai 50290, Thailand

4. 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 SO2 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.

Funder

Kasetsart University

Agricultural Research Development Agency

Publisher

MDPI AG

Subject

Plant Science,Agronomy and Crop Science,Food Science

Reference78 articles.

1. FAO (2009). Global Agriculture towards 2050, FAO. Available online: https://www.fao.org/fileadmin/templates/wsfs/docs/Issues_papers/HLEF2050_Global_Agriculture.pdf.

2. A meta-analysis of projected global food demand and population at risk of hunger for the period 2010–2050;Morley;Nat. Food,2021

3. FAO (2001). Global Food Losses and Food Waste—Extent, Causes, and Prevention, FAO. Available online: https://www.fao.org/3/i2697e/i2697e.pdf.

4. FAO (2014). Food Wastage Footprint: Full Cost-Accounting, Final Report, FAO. Available online: https://www.fao.org/3/i3991e/i3991e.pdf.

5. Refrigeration and cold chain serving the global food industry and creating a better future: Two key IIR challenges for improved health and environment;Coulomb;Trends Food Sci. Technol.,2008

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3