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Quantification of food waste per product group along the food supply chain in the European Union: a mass flow analysis
In 2015, the United Nations defined the Sustainable Development Goals (SDG), which include a target (12.3) on food waste. The target requires “by 2030, to halve per capita global food waste at the retail and consumer levels and to reduce food losses along production and supply chains, including post...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6703187/ https://www.ncbi.nlm.nih.gov/pubmed/31582876 http://dx.doi.org/10.1016/j.resconrec.2019.06.011 |
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author | Caldeira, Carla De Laurentiis, Valeria Corrado, Sara van Holsteijn, Freija Sala, Serenella |
author_facet | Caldeira, Carla De Laurentiis, Valeria Corrado, Sara van Holsteijn, Freija Sala, Serenella |
author_sort | Caldeira, Carla |
collection | PubMed |
description | In 2015, the United Nations defined the Sustainable Development Goals (SDG), which include a target (12.3) on food waste. The target requires “by 2030, to halve per capita global food waste at the retail and consumer levels and to reduce food losses along production and supply chains, including post-harvest losses”. The target has increased awareness about the food waste problem and boosted research in food waste quantification. Nevertheless, there is a lack of studies that adopt a systematic approach to account for food waste providing disaggregated values per food supply chain stage and per food groups. Such an approach could support policy makers in prioritizing interventions for food waste reduction. To fill this gap, this paper presents a high-level top-down approach to food waste accounting in the European Union. The study aims to support the understanding of the mass flows associated with food production, consumption, and waste, addressing different food groups along the food supply chain. The method for accountin is the mass flow analysis. According to the results, cereals, fruit, and vegetables as the food groups are responsible for the highest amount of food waste, and the consumption stage to be responsible for the largest share of food waste for most food groups. This work highlights the need for further primary research on food waste generation in the EU. Ultimately, this would allow to robustly estimate the food waste generated at EU level, and establishing a more accurate baseline to track the progress towards SDG target 12.3. |
format | Online Article Text |
id | pubmed-6703187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier B.V |
record_format | MEDLINE/PubMed |
spelling | pubmed-67031872019-10-01 Quantification of food waste per product group along the food supply chain in the European Union: a mass flow analysis Caldeira, Carla De Laurentiis, Valeria Corrado, Sara van Holsteijn, Freija Sala, Serenella Resour Conserv Recycl Article In 2015, the United Nations defined the Sustainable Development Goals (SDG), which include a target (12.3) on food waste. The target requires “by 2030, to halve per capita global food waste at the retail and consumer levels and to reduce food losses along production and supply chains, including post-harvest losses”. The target has increased awareness about the food waste problem and boosted research in food waste quantification. Nevertheless, there is a lack of studies that adopt a systematic approach to account for food waste providing disaggregated values per food supply chain stage and per food groups. Such an approach could support policy makers in prioritizing interventions for food waste reduction. To fill this gap, this paper presents a high-level top-down approach to food waste accounting in the European Union. The study aims to support the understanding of the mass flows associated with food production, consumption, and waste, addressing different food groups along the food supply chain. The method for accountin is the mass flow analysis. According to the results, cereals, fruit, and vegetables as the food groups are responsible for the highest amount of food waste, and the consumption stage to be responsible for the largest share of food waste for most food groups. This work highlights the need for further primary research on food waste generation in the EU. Ultimately, this would allow to robustly estimate the food waste generated at EU level, and establishing a more accurate baseline to track the progress towards SDG target 12.3. Elsevier B.V 2019-10 /pmc/articles/PMC6703187/ /pubmed/31582876 http://dx.doi.org/10.1016/j.resconrec.2019.06.011 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Caldeira, Carla De Laurentiis, Valeria Corrado, Sara van Holsteijn, Freija Sala, Serenella Quantification of food waste per product group along the food supply chain in the European Union: a mass flow analysis |
title | Quantification of food waste per product group along the food supply chain in the European Union: a mass flow analysis |
title_full | Quantification of food waste per product group along the food supply chain in the European Union: a mass flow analysis |
title_fullStr | Quantification of food waste per product group along the food supply chain in the European Union: a mass flow analysis |
title_full_unstemmed | Quantification of food waste per product group along the food supply chain in the European Union: a mass flow analysis |
title_short | Quantification of food waste per product group along the food supply chain in the European Union: a mass flow analysis |
title_sort | quantification of food waste per product group along the food supply chain in the european union: a mass flow analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6703187/ https://www.ncbi.nlm.nih.gov/pubmed/31582876 http://dx.doi.org/10.1016/j.resconrec.2019.06.011 |
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