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Households’ Food Waste Behavior at Local Scale: A Cluster Analysis after the COVID-19 Lockdown

Authors: Vera Amicarelli; Caterina Tricase; Alessia Spada; Christian Bux;

Households’ Food Waste Behavior at Local Scale: A Cluster Analysis after the COVID-19 Lockdown

Abstract

The reduction of food waste, especially in households where more than half of its global quantity is generated, has become an increasing economic, social and environmental concern, and represents one of the 17 Sustainable Development Goals within the Agenda 2030 for Sustainable Development. In this context, the COVID-19 lockdown has significantly changed life, work and food consumption habits all over the world, highlighting food waste as a multi-sectorial issue. This paper explores current attitudes, perception and behavioral patterns related to food waste reduction at domestic consumption at the local scale (Apulia region, Italy), with the aim of identifying different types of “food wasters”. Through an online questionnaire and the application of a k-means clustering model, the authors focus on four emerging constructs in terms of food consumption and food waste habits after the COVID-19 lockdown at household level. Among three theoretical clusters, results have highlighted: (i) the paradox of the “green wasters”, which declared a high level of awareness of the food waste issue but also generates huge amounts of thrown away food; (ii) the “positive unawareness” of the “red wasters”, which have a slight notion of environment and sustainability but waste low quantities of food; (iii) the consistency of the “blue wasters”, which know of the food waste issue and convert theory into practice.

Country
Italy
Keywords

330, 590, 577, COVID-19 pandemic, TJ807-830, consumer behavior, Covid-19 pandemic, TD194-195, Renewable energy sources, cluster analysi, GE1-350, 360, Environmental effects of industries and plants, Covid‐19 pandemic, food security, Environmental sciences, food waste, cluster analysis

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    49
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
49
Top 1%
Top 10%
Top 1%
gold