Monitoring Food Waste Levels in Gulf Cooperation Council (GCC) Countries: A Country Comparison

Introduction: Food waste has become a global concern due to its negative impacts on the environment, economy and society. Objective: To address this issue, the United Nations Sustainable Development Agenda aims to reduce food waste by 50% by the year 2030. However, monitoring progress towards this goal in GCC countries has been challenging due to the lack of accurate data on food waste. Methods: The research used a comparative study methodology that focuses on a regional level analysis utilizing a data set of Food Waste Index (FWI). Results: By using cross-country comparative analysis as a methodology, this research article offers a solution to this problem by presenting a model for comparative statistical analysis that can reduce uncertainty in food waste data. Conclusion: The article highlights the importance of integrating the Food Waste Index databases with the Global Food Security Index databases to bridge the data gap and effectively monitor efforts to reduce food waste.

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Journal
Current Nutrition & Food Science
Published
2025-05-08
DOI
https://doi.org/10.2174/0115734013361293250204052909
Primary Topic
Food Waste Reduction and Sustainability
Type
article
Field-Weighted Citation Impact
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article

Monitoring Food Waste Levels in Gulf Cooperation Council (GCC) Countries: A Country Comparison

Vathana Bathmanathan, Said Juma Alsheyadi
Current Nutrition & Food Science
Food Waste Reduction and Sustainability
article

Monitoring Food Waste Levels in Gulf Cooperation Council (GCC) Countries: A Country Comparison

Vathana Bathmanathan, Said Juma Alsheyadi
article en

Abstract

Introduction: Food waste has become a global concern due to its negative impacts on the environment, economy and society. Objective: To address this issue, the United Nations Sustainable Development Agenda aims to reduce food waste by 50% by the year 2030. However, monitoring progress towards this goal in GCC countries has been challenging due to the lack of accurate data on food waste. Methods: The research used a comparative study methodology that focuses on a regional level analysis utilizing a data set of Food Waste Index (FWI). Results: By using cross-country comparative analysis as a methodology, this research article offers a solution to this problem by presenting a model for comparative statistical analysis that can reduce uncertainty in food waste data. Conclusion: The article highlights the importance of integrating the Food Waste Index databases with the Global Food Security Index databases to bridge the data gap and effectively monitor efforts to reduce food waste.

Current Nutrition & Food ScienceVol. 21(7)
Universiti Tenaga Nasional (MY)
Openalex Percentile: Top 89%
Food Waste Reduction and Sustainability
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