Method to estimate global food waste using an energy gap approach and affluence elasticity

The approach, along with an internationally comparable consumer food-waste-dataset based on food availability, energy gap and consumer affluence, were published. The authors explain the easiness to use the dataset for constructing a measurable Food Waste Index to assess the current situation regardi...

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Autor principal: CGIAR Research Program on Agriculture for Nutrition and Health
Formato: Informe técnico
Lenguaje:Inglés
Publicado: 2020
Materias:
Acceso en línea:https://hdl.handle.net/10568/122466
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author CGIAR Research Program on Agriculture for Nutrition and Health
author_browse CGIAR Research Program on Agriculture for Nutrition and Health
author_facet CGIAR Research Program on Agriculture for Nutrition and Health
author_sort CGIAR Research Program on Agriculture for Nutrition and Health
collection Repository of Agricultural Research Outputs (CGSpace)
description The approach, along with an internationally comparable consumer food-waste-dataset based on food availability, energy gap and consumer affluence, were published. The authors explain the easiness to use the dataset for constructing a measurable Food Waste Index to assess the current situation regarding progress towards Sustainable Development Goal targets (SDG_12).
format Informe técnico
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spelling CGSpace1224662023-03-14T11:43:37Z Method to estimate global food waste using an energy gap approach and affluence elasticity CGIAR Research Program on Agriculture for Nutrition and Health development rural development sustainable development energy systems agrifood systems food availability food elasticity The approach, along with an internationally comparable consumer food-waste-dataset based on food availability, energy gap and consumer affluence, were published. The authors explain the easiness to use the dataset for constructing a measurable Food Waste Index to assess the current situation regarding progress towards Sustainable Development Goal targets (SDG_12). 2020-12-31 2022-10-06T13:58:57Z 2022-10-06T13:58:57Z Report https://hdl.handle.net/10568/122466 en Open Access application/pdf CGIAR Research Program on Agriculture for Nutrition and Health. 2020. Method to estimate global food waste using an energy gap approach and affluence elasticity. Reported in Agriculture for Nutrition and Health Annual Report 2020. Innovations.
spellingShingle development
rural development
sustainable development
energy
systems
agrifood systems
food availability
food
elasticity
CGIAR Research Program on Agriculture for Nutrition and Health
Method to estimate global food waste using an energy gap approach and affluence elasticity
title Method to estimate global food waste using an energy gap approach and affluence elasticity
title_full Method to estimate global food waste using an energy gap approach and affluence elasticity
title_fullStr Method to estimate global food waste using an energy gap approach and affluence elasticity
title_full_unstemmed Method to estimate global food waste using an energy gap approach and affluence elasticity
title_short Method to estimate global food waste using an energy gap approach and affluence elasticity
title_sort method to estimate global food waste using an energy gap approach and affluence elasticity
topic development
rural development
sustainable development
energy
systems
agrifood systems
food availability
food
elasticity
url https://hdl.handle.net/10568/122466
work_keys_str_mv AT cgiarresearchprogramonagriculturefornutritionandhealth methodtoestimateglobalfoodwasteusinganenergygapapproachandaffluenceelasticity