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An extended integrative model of behavioural prediction for examining households’ food waste behaviour in Addis Ababa, Ethiopia
Swedish University of Agricultural Sciences; Arish University.ORCID-id: 0000-0002-6764-1887
2022 (Engelska)Ingår i: Resources, Conservation and Recycling, ISSN 0921-3449, E-ISSN 1879-0658, Vol. 179, artikel-id 106073Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

In developing countries, urbanization and demographic changes are increasing food waste generation at household levels. However, it remains unclear how behavioural and personal characteristics influence the behaviours of urban consumers in developing countries regarding food waste. In this study, we extended the integrative model of behavioural prediction to examine the determinants of food waste behaviour amongst a sample of 698 urban dwellers in Addis Ababa, Ethiopia. The empirical results revealed that attitudes and perceived behavioural control were the most important predictors of intention toward food waste reduction. With regard to food waste behaviours, the results showed that the more an individual feels obliged to discard less food, the higher the odds that the quantity of food that gets wasted by the household would be reduced. Likewise, knowledge about the negative impacts of wasting food and an ability to interpret information on labels of food products were associated with decreased quantities of household food waste. In addition, lower psychological distance to food waste was generally associated with lower quantities of wasted food. Finally, sociodemographic characteristics and food-shopping routines were found to be significant predictors of food waste behaviours. Overall, these findings constitute an entry point for more research and policy measures in order to understand determinants of household food waste behaviours in developing countries and to design effective interventions to reinforce their behaviours towards more sustainable food consumption patterns.

Ort, förlag, år, upplaga, sidor
Elsevier, 2022. Vol. 179, artikel-id 106073
Nyckelord [en]
Food waste, Consumer behaviour, Integrative model of behavioural prediction, Structural equation modelling, Binary logistic model
Nationell ämneskategori
Jordbruksvetenskap Nationalekonomi
Forskningsämne
Nationalekonomi; Kostvetenskap
Identifikatorer
URN: urn:nbn:se:uu:diva-466503DOI: 10.1016/j.resconrec.2021.106073OAI: oai:DiVA.org:uu-466503DiVA, id: diva2:1633016
Tillgänglig från: 2022-01-28 Skapad: 2022-01-28 Senast uppdaterad: 2022-01-31Bibliografiskt granskad

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