What shapes food waste behaviors? New insights from a comprehensive action determination model

Copyright © 2024 Elsevier Ltd. All rights reserved.

Bibliographische Detailangaben
Veröffentlicht in:Waste management (New York, N.Y.). - 1999. - 181(2024) vom: 30. Mai, Seite 188-198
1. Verfasser: Cheng, Xiu (VerfasserIn)
Weitere Verfasser: Zhang, Jie, Li, Wenbo
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:Waste management (New York, N.Y.)
Schlagworte:Journal Article Comprehensive action determination model Food waste Incentive measures Network embeddedness Structural equation modeling Food Loss and Waste
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520 |a The sharp increase in food waste poses a serious threat to food security and environmental sustainability. However, most existing studies have investigated the determinants of food waste behaviors in a separate behavioral process without considering the potential impacts of different factors in an integrated process. To narrow this gap, a comprehensive action determination model (CADM), which integrates network embeddedness and incentive measures, was constructed to explore the impact of various determinants in different processes on food waste behaviors, using data collected from 913 residents in eastern China via an online survey. The empirical results showed that environmental concern was the largest positive factor in predicting personal norms (β = 0.80, p < 0.001), followed by network embeddedness. With the habitual process considered, residents with ingrained waste habits were more likely to waste food (β = 0.38, p < 0.001). Moreover, the normative process alleviates behavioral decisions via intentions to reduce food waste. This study confirmed the differences in the situational process and suggested that menu tips increase food waste behaviors, while incentive measures reinforce the influence of intentions on behavior. We therefore address the insufficient ingredients on the effects of different processes on behavior and provide a new perspective for formulating behavioral intervention policies 
650 4 |a Journal Article 
650 4 |a Comprehensive action determination model 
650 4 |a Food waste 
650 4 |a Incentive measures 
650 4 |a Network embeddedness 
650 4 |a Structural equation modeling 
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700 1 |a Zhang, Jie  |e verfasserin  |4 aut 
700 1 |a Li, Wenbo  |e verfasserin  |4 aut 
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