A Narrative Review Aligning Food Security with Food Loss and Waste Reduction

Year 2024, Issue: SUIC, 1 - 14, 31.12.2024

Esila Bayar , Zeynep Begüm Kalyoncu Atasoy

https://doi.org/10.18185/erzifbed.1534572

Abstract

This study explores the critical intersection between food security, sustainable development, and food loss and waste (FLW). Anchored in Sustainable Development Goals (SDG) 2 and 12, the research emphasizes the importance of aligning efforts to end hunger with strategies to reduce FLW. Food security requires consistent access to nutritious food, yet food insecurity persists, affecting millions worldwide, with significant consequences for health, economic stability, and environmental sustainability. The current review examines various policy approaches across different regions, highlighting how differing strategies impact the effectiveness of FLW reduction and food security enhancement. For instance, while some countries focus on legislative measures to prevent food loss, others prioritize innovative practices such as repurposing near-expiry food or investing in sustainable food systems. The study also highlights innovative practices, such as municipal restaurants in Türkiye, which provide affordable and nutritious meals while minimizing waste, and cooperative initiatives empowering women. Additionally, the role of artificial intelligence and circular economy models in reducing FLW is explored, emphasizing the need for systemic and structural reforms. Global initiatives like the Food & Agriculture Organization’s “Save Food” campaign, along with policy-driven approaches such as food banks and food waste awareness campaigns, underscore the importance of a collaborative effort between governments, private sectors, and NGOs to tackle both the symptoms and root causes of food insecurity.

Keywords

Food loss and waste, food insecurity, nutrition policy, sustainable development

Ethical Statement

There are no ethical issues regarding the publication of this study.

Thanks

The language editing and data visualization of the article was assisted by the ChatGPT 4.o and DALL-E language model (limited version) developed by OpenAI.

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