This report presents the results of the simulations from an integrated model of consumer food waste. This is the first step in developing a model that can assess the impact of policy interventions on reducing food waste among consumers. Final aim is to create a predictive and dynamic policy support tool for a road map for the 50% reduction of European food waste by 2030. This model combines an Agent Based Model and a Bayesian Network.
Food Waste is problem related to all the actors of the Food Value Chain: producers, retailers and consumers. In this context, retail sector plays an important role in tackling the food waste problem. Food waste at the retail level can be reduced through the adoption of food waste reducing innovations. The authors investigate the most relevant factors that promote the adoption of those innovations among retailers.
The model architecture described in this deliverable provides the framework through which data and simulations from the data on food waste at a consumer level and at a retail level can be integrated into simulation models. This report highlights the technical approaches followed to achieve model integration.
This brochure describes the interim results of the REFRESH (Resource Efficient Food and dRink for the Entire Supply cHain) project through May 2018. REFRESH’s research into the behaviours, economics, and relationships that lead to food waste will inform future recommendations for efficient and versatile solutions to food waste at all levels of production.
This peer-reviewed paper finds that consumer food waste is influenced by country, age, student status, and belief that the family wastes too much, and suggests how policy interventions can be designed to target these drivers.
This report provides the methodological background needed to identify and measure the most important socio-economic conditions and potential policy interventions driving businesses’ and consumers’ choices in the generation of food waste, using a behavioural economics approach.
Innovation is fundamental for preventing or reducing business food waste. REFRESH identifies the drivers of technological (process or product) and organizational innovation and their impact on waste. Economic gains (competitiveness and productivity) and territorial specificities are the main drivers of adoption..
Firms’ adoption of innovations for addressing food waste is a complex phenomenon, as it may be driven also by non-economic factors. REFRESH has identified the behavioural typologies that influence adoption
Quantifying and understanding inconsistency in the generation of consumer food waste is particularly important, to target intervention strategies where they are most efficient. This report analyses two of the largest available datasets to define consumer behavioural typologies and develop a systems map to illustrate potential links between consumer behaviour and the creation/reduction of food waste.