Publication | Open Access
Towards a Baseline for Food-Waste Quantification in the Hospitality Sector—Quantities and Data Processing Criteria
81
Citations
24
References
2019
Year
Agricultural EconomicsFood WasteFoodservice SystemFood-waste Quantification DataFood SystemsFood ControlPublic HealthFood ConsumptionFood-waste QuantificationFood PolicyHospitality IndustryHealth SciencesData Processing CriteriaHospitality Sector—quantitiesFood Quality AssuranceFood QualityMarketingFood SafetyFood RegulationsSolid Quantification DataFood Loss PreventionRecyclingFood IndustryLoss StudiesFood ServiceFood Waste ManagementHospitality Management
Food‑waste quantification data are urgently needed to support the 2030 goal of halving waste. The study aims to establish quality food‑waste baselines across hospitality sectors and to recommend statistical measures for tracking changes. The authors collected and standardized food‑waste data from 1,189 kitchens across four countries, covering 58,812 days and 23 million portions. They found that about 20 % of food served was wasted, with per‑portion waste ranging from 50 g in canteens to 192 g in restaurants.
There is an urgent need for primary data collection on food waste to obtain solid quantification data that can be used as an indicator in the goal of halving food waste by 2030. This study examined how quality baselines for food waste can be achieved within the different segments of the hospitality sector, encompassing establishments such as canteens, elderly care units, hospitals, hotels, preschools, primary schools, restaurants, and upper secondary schools. The empirical material comprised food-waste quantification data measured in 1189 kitchens in Sweden, Norway, Finland, and Germany for 58,812 quantification days and 23 million portions. All the data were converted to a common format for analysis. According to the findings, around 20% of food served became waste. Waste per portion varied widely between establishments, ranging from 50.1 ± 9.4 g/portion for canteens to 192 ± 30 g/portion for restaurants. To identify the measurement precision needed for tracking changes over time, we suggest statistical measures that could be used in future studies or in different food-waste tracking initiatives.
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