Sorting Analysis of Household Food Waste—Development of a Methodology Compatible with the Aims of SDG12.3

Author:

Okayama Tomoko,Watanabe Kohei,Yamakawa Hajime

Abstract

Target 12.3 of the United Nations Sustainable Development Goals (SDGs) calls for halving per capita global food waste at the retail and consumer levels, by 2030. The Food Waste Index is suggested as a methodology for grasping the situation. This paper focuses on the consumer level (household food waste). We argue that in order for generating useful information for devising and implementing effective measures for reducing food waste, it should be measured at Level 3 of the Food Waste Index, based on sorting analysis of generated waste, and making a distinction between avoidable and non-avoidable food waste. Furthermore, a breakdown by subcategories that reflect the flow of food in the household could help identify target behaviours. We have developed a categorisation scheme that is internationally agreeable and adoptable, and (1) generates useful information for policy-making and for tackling with reduction of food waste, (2) makes clear the concept of avoidable food waste, and (3) is practical and does not overcomplicate the work of grasping the situation of food wastage. Results of workshops regarding this scheme suggest that the scheme satisfies the criteria. This scheme has been applied to a few sorting analyses of household food waste in Japan, and their results are compared.

Funder

Environmental Restoration and Conservation Agency

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development

Reference18 articles.

1. Global Food Losses and Food Waste–Extent, Causes and Prevention,2011

2. Food Wastage Footprint. Impacts on Natural Resources,2013

3. Food Waste Index Report 2021,2021

4. FUSIONS Definitional Framework for Food Waste Full Report,2014

5. Discussion on the methodology for determining food waste in household waste composition studies

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