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  Environmental Implications and socioeconomic Characterisation of Indian Diets

Athare, T., Pradhan, P., Kropp, J. P. (2020): Environmental Implications and socioeconomic Characterisation of Indian Diets. - Science of the Total Environment, 737, 139881.
https://doi.org/10.1016/j.scitotenv.2020.139881

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_24143 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_24143_4
Genre: Journal Article

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 Creators:
Athare, Tushar1, Author              
Pradhan, Prajal1, Author              
Kropp, Jürgen P.1, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

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 Abstract: India is facing a double burden of malnourishment with co-existences of under- and over-nourishment. Various socioeconomic factors play an essential role in determining dietary choices. Agriculture is one of the major emitters of greenhouse gases (GHGs) in India, contributing 18% of total emissions. It also consumes freshwater and uses land significantly. We identify eleven Indian diets by applying k-means cluster analysis on latest data from the Indian household consumer expenditure survey. The diets vary in calorie intake [2289–3218 kcal/Consumer Unit (CU)/day] and dietary composition. Estimated embodied GHG emissions in the diets range from 1.36 to 3.62 kg CO2eq./CU/day, land footprint from 4 to 5.45 m2/CU/day, whereas water footprint varies from 2.13 to 2.97 m3/CU/day. Indian diets deviate from a healthy reference diet either with too much or too little consumption of certain food groups. Overall, cereals, sugar, and dairy products intake are higher. In contrast, the consumption of fruits and vegetables, pulses, and nuts is lower than recommended. Our study contributes to deriving required polices for the sustainable transformation of food systems in India to eliminate malnourishment and to reduce the environmental implications of the food systems.

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 Dates: 2020-03-062020-05-312020
 Publication Status: Finally published
 Pages: -
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 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.scitotenv.2020.139881
PIKDOMAIN: RD2 - Climate Resilience
MDB-ID: 2960
Research topic keyword: Food & Agriculture
Research topic keyword: 1.5/2°C limit
Research topic keyword: Mitigation
Research topic keyword: Cities
Research topic keyword: Gender Aspects
Model / method: Machine Learning
Regional keyword: Asia
Organisational keyword: RD2 - Climate Resilience
 Degree: -

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Title: Science of the Total Environment
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 737 Sequence Number: 139881 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals444