Food Loss and Waste country profile for China - Estimates of Food Loss and Waste, associated GHG emissions and nutritional losses

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cg.contributor.affiliationWageningen University & Researchen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeLow-Emission Food Systems
cg.coverage.countryChina
cg.coverage.iso3166-alpha2CN
cg.coverage.regionEastern Asia
cg.creator.identifierHeike Axmann: 0000-0003-0188-7400
cg.creator.identifierXuezhen Guo: 0000-0001-7377-0151
cg.creator.identifierJan Broeze: 0000-0001-5786-6575
cg.creator.identifierMarcela Víquez Zamora: 0000-0002-9265-6706
cg.howPublishedGrey Literatureen
cg.reviewStatusInternal Reviewen
cg.subject.actionAreaSystems Transformation
cg.subject.impactAreaClimate adaptation and mitigation
dc.contributor.authorAxmann, Heikeen
dc.contributor.authorGuo, X.en
dc.contributor.authorKok, M.en
dc.contributor.authorBroeze, J.en
dc.contributor.authorVíquez Zamora, M.en
dc.contributor.authorSoethoudt, J.M.en
dc.date.accessioned2023-01-16T09:56:19Zen
dc.date.available2023-01-16T09:56:19Zen
dc.identifier.urihttps://hdl.handle.net/10568/127170
dc.titleFood Loss and Waste country profile for China - Estimates of Food Loss and Waste, associated GHG emissions and nutritional lossesen
dcterms.abstractThe UN and the Champions 12.3 Coalition launched the ‘Target-Measure-Act approach’ calling on all governments and companies to set FLW reduction targets, measure FLW, identify hotspots, and to take action to reduce FLW accordingly (Lipinski, 2020). Lack of data makes it particularly difficult for low- and middle-income countries (LMIC) to specify the hotspot food products and chain stages, to define smart targets and to identify adequate interventions. In order to contribute to this essential information we developed and used a mass flow model based on secondary data (see next section for details). This approach allows to present an indicative country profile showing per food product category and chain stage not only the amount of FLW but also the GHGEs related to producing the FLW and induced nutrient losses. This integrated approach towards FLW reduction can support policy makers and other food system actors taking informed decisions contributing to several sustainability objectives in parallel.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationAxmann, H; Guo, X.; Kok, M.; Broeze, J.; Víquez-Zamora, M.; and Soethoudt, JM. 2022. Food Loss and Waste country profile for China - Estimates of Food Loss and Waste, associated GHG emissions and nutritional losses. CGIAR; and Wageningen Food and Biobased Researchen
dcterms.issued2022-12-31
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherCGIAR System Organizationen
dcterms.publisherWageningen University & Researchen
dcterms.subjectfood lossesen
dcterms.subjectfood wastesen
dcterms.subjectgreenhouse gas emissionsen
dcterms.subjectnutritionen
dcterms.subjectmodellingen
dcterms.typeBrief

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