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The purpose of this paper is to understand determinants of food waste through analysing patterns of practices including shopping, planning, consumption of leftovers and attitudes around best-before dates.Design/methodology/approachA survey and waste composition analysis of 142 households was conducted in the City of Toronto. Bivariate analyses and confirmatory factor analysis (CFA) using a structural equation model were used to identify relationships between per capita food waste, household socio-demographic characteristics and household food practices.FindingsConstructs related to planning practices and best-before date practices were identified through the CFA. Household size and the best-before construct were negatively correlated with per capita food waste. The planning construct had no correlation, which may be attributed to the influence of the retail environment in encouraging unplanned purchases. The best-before construct was significantly correlated with the presence of children in the home, an indicator of the compromises that parents make in domestic provisioning to ensure healthy foods for their children, such as more caution in handling items after their best-before dates.Originality/valueThis is the first study of its kind that uses directly measured per capita food waste from a waste composition study in a structural equation model with a construct related to best-before dates to determine drivers of food waste. It is also the first to find that children in the home can have an indirect influence on food waste through the household's best-before practices.
British Food Journal – Emerald Publishing
Published: Apr 27, 2021
Keywords: Consumer behaviour; Factor analysis; Multivariate analysis; Surveys; Waste; Food
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