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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 (English)In: Resources, Conservation and Recycling, ISSN 0921-3449, E-ISSN 1879-0658, Vol. 179, article id 106073Article in journal (Refereed) 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.

Place, publisher, year, edition, pages
Elsevier, 2022. Vol. 179, article id 106073
Keywords [en]
Food waste, Consumer behaviour, Integrative model of behavioural prediction, Structural equation modelling, Binary logistic model
National Category
Agricultural Science Economics
Research subject
Economics; Food, Nutrition and Dietetics
Identifiers
URN: urn:nbn:se:uu:diva-466503DOI: 10.1016/j.resconrec.2021.106073OAI: oai:DiVA.org:uu-466503DiVA, id: diva2:1633016
Available from: 2022-01-28 Created: 2022-01-28 Last updated: 2022-01-31Bibliographically approved

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Abu Hatab, Assem
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf