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- W2544272553 abstract "It has been estimated that one third of edible food destined for human consumption is lost or wasted along the food supply chain globally. Much of the waste comes from Global North, where consumers are considered as the bigger contributors.Different studies tried to analyze and estimate the Household Food Waste (HFW), especially in UK and Northern Europe. The result is that accurate studies at national level exist only in UK, Finland and Norway while no such studies are available in Italy, except for survey- based researches. Though, there is a widespread awareness that such methods might be not able to estimate Food Waste. Results emerging from literature clearly suggest that survey estimate inferior amounts of Food Waste as a result, if compared to waste sorting and weighting analysis or to diary studies.The hypothesis that household food waste is under-estimated when gathered through questionnaires has been enquired into. First, a literature review of behavioral economics and heuristics has been proposed; then, a literature review of the sector listing the existing methodologies to gather national data on Household Food Waste has been illustrated. Finally, a pilot experiment to test a mixed methodology is proposed. While literature suggests that four specific cognitive biases might be able to affect the reliability of answers in questionnaires, results of the present experiment clearly indicate that there is a relevant difference between how much the individual thinks to waste and he/she actually does.The result is a mixed methodology based on questionnaire, diary and waste sorting, able to overcome the cons of each single method." @default.
- W2544272553 created "2016-11-04" @default.
- W2544272553 creator A5012033596 @default.
- W2544272553 date "2016-06-14" @default.
- W2544272553 modified "2023-09-28" @default.
- W2544272553 title "Assessing Household Food Waste in Italy: A Methodology for Detecting Drivers and Quantities" @default.
- W2544272553 doi "https://doi.org/10.6092/unibo/amsdottorato/7567" @default.
- W2544272553 hasPublicationYear "2016" @default.
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