Skip to main content
SLU:s publikationsdatabas (SLUpub)

Forskningsartikel2022Vetenskapligt granskadÖppen tillgång

An extended integrative model of behavioural prediction for examining households’ food waste behaviour in Addis Ababa, Ethiopia

Abouhatab, Assem; Tafesse Tirkaso, Wondmagegn; Tadesse, Elazar; Lagerkvist, Carl-Johan

Sammanfattning

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.

Nyckelord

Food waste; Consumer behaviour; Integrative model of behavioural prediction; Structural equation modelling; Binary logistic model

Publicerad i

Resources, Conservation and Recycling
2022, Volym: 179, artikelnummer: 106073

      SLU författare

      • Associerade SLU-program

        Food Waste

        Globala målen

        SDG11 Göra städer och bosättningar inkluderande, säkra, motståndskraftiga och hållbara
        SDG17 Stärka genomförandemedlen och återvitalisera det globala partnerskapet för hållbar utveckling
        SDG12 Säkerställa hållbara konsumtions- och produktionsmönster

        UKÄ forskningsämne

        Nationalekonomi
        Övrig annan samhällsvetenskap

        Publikationens identifierare

        DOI: https://doi.org/10.1016/j.resconrec.2021.106073

        Permanent länk till denna sida (URI)

        https://res.slu.se/id/publ/114748