Food Science and Technology

Assessment and scenario hypothesis of food waste in China based on material flow analysis

S. Jiang, H. Chen, et al.

Discover how Shiyan Jiang, Hong Chen, Suhan Yang, Yujie Wang, and Ming Xu reveal the staggering food waste in China between 2010-2019, with wheat leading the charge at 38% waste. This research not only highlights the crucial stages of food loss but also offers a path to reducing soybean imports by 7% through effective waste management strategies.

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Abstract

This study uses material flow analysis (MFA) to assess food waste in China from 2010-2019 across five stages (production, post-harvest handling, processing, distribution, consumption) for seven food categories. Wheat had the highest waste (38% of total), while milk had the least (4%). Scenario hypotheses showed a 5% waste reduction in each stage could reduce soybean imports by 7%. The findings provide data for food waste intervention and food security strategies.

Publisher

npj Urban Sustainability

Published On

Jan 05, 2023

Authors

Shiyan Jiang, Hong Chen, Suhan Yang, Yujie Wang, Ming Xu

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