This research analyses the impact that the level of understanding of date marking (among other influences) has on the food waste behaviour of consumers in the European Union focusing on a comparison between European Union countries. The data were extracted from the Dataset Flash Eurobarometer 425: Food waste and date marking (European Commission in Flash eurobarometer 425: food waste and date marking, European Commission, Brussels, 2015) and structural equation models to estimate the strength of these influences on behaviour. The results show that socio-demographics (age; education; occupation); behavioural control (perceptions regarding the need for better and clearer information about 'best before' and 'use by' date labelling on food products; frequency of checking date labels when shopping and preparing meals); and understanding of 'best before' and 'use by' labels have significant effects on behaviours related to lower food waste (use of senses instead of labels to decide whether to eat or throw away food e.g., nonperishable foods from own kitchen cupboard with no 'best before' date indicated on the label which were not bought recently; or food products which must be used within a certain number of days after opening and are past that; and the need for 'best before' dates on non-perishable foods, such as rice, pasta, coffee or tea). The stated understanding of date labelling is a key influence in all models and explains a consistent fifth (ceteris paribus) of the variance in behaviour.

No abstract

No abstract

Summary Understanding and measuring the sustainability of farms is key to evaluating progress towards policy goals for a more sustainable agriculture. In the LIFT project, a farm typology was developed to classify farms according to their ecological performance, based on farm‐level variables from the Farm Accountancy Data Network (FADN). Selected variables are used to assess three key ecological dimensions of farming: total input intensity; degree of circularity (reliance on own‐produced versus external inputs); and avoidance of the use of specific inputs of concern for the environment and consumers. The combination of these aspects is considered as a measure of the farm proximity to a full agroecological approach. The typology allows comparison of farms across farm types, countries and years. We briefly present the method and discuss two key aspects: 1) how the proposed farm typology can inform policymaking in the context of a new EU policy framework; 2) how it can inform the foreseen transformation of the FADN into a Farm Sustainability Data Network (FSDN). We suggest that the use of a typology approach under the new FSDN provides useful information on the impacts of the implementation of agroecological practices with an acceptable additional effort in terms of data collection.