Date-label use and the waste of dairy products by consumers. (20th February 2020)

• Record Type: Journal Article
• Authors: Thompson, Bethan; Toma, Luiza; Barnes, Andrew P.; Revoredo-Giha, Cesar
• Is Part Of: Journal of cleaner production. Volume 247(2020)
• Publication Date: 2020-02-20
• Subjects: Consumer behaviour -- Food waste -- Date labels -- TPB -- Habit -- Attitudes; Factory and trade waste -- Management -- Periodicals; Manufactures -- Environmental aspects -- Periodicals; Déchets industriels -- Gestion -- Périodiques; Usines -- Aspect de l'environnement -- Périodiques; 628.5
• DOI: 10.1016/j.jclepro.2019.119174
• Languages: English
• ISSNs: 0959-6526

Abstract

Abstract: This study contributes to the household food waste literature by helping us to understand the personal and social factors that influence our use of expiry-date labels on dairy products. It uses an extended theory of planned behaviour (TPB) model with the additional variables of habit and food waste attitudes as well as two upstream expiry-date behaviours, checking date labels in shops and checking date labels in the fridge. Data was collected from consumers in a two-stage survey. Results indicate that both intentions and habit had a relatively strong influence on behaviour, as did the upstream expiry-date behaviours of checking date labels in shops and checking date labels in the fridge. Attitudes, food waste attitudes, and social norms were all found to be associated with intentions whereas perceived behavioural control (PBC) was not found to be associated with either intentions of behaviour. These findings have implications for our understanding of behaviours associated with food waste and therefore for food waste reduction policy and communication efforts. Highlights: TPB model has some explanatory power for decision-making linked to date-labels. Disposing of products because the expiry date has passed has a habitual element. Food waste attitudes affected only intentions but not behaviour. Date checking in shops is associated with throwing away fewer expired products. More complex, multi-level models are required to understand household food waste.