Understanding driving forces of food waste separation intention to enhance regional and local solid waste planning: application of PLS-SEM and multi-group analysis

This study extended the theory of planned behaviour (TPB) and applied it to analyse influencing factors of food waste separation intention (FSI) among households in central Vietnam. Partial least squares structural equation modelling (PLS-SEM) was employed to analyse the data. The heterogeneity of factors contributing to FSI in cities of three levels was examined using multi-group analysis (MGA). The results indicate that attitudes, subjective norms (SN), perceived behavioural control (PBC), awareness of benefit (AB), information publicity (IP), facility availability (FA), and trust significantly affected FSI of households. MGA results indicated the heterogeneity of impacts of PBC and attitude on FSI of households among three municipal levels. The results will serve as basic data for waste officers, solid-waste management project leaders, non-governmental organisations (NGOs), and other related stakeholders to lay the foundation of food waste management planning in terms of regional scale and local scale. This study will also aid the creation of a circular economy by providing a scientific base for enhancing food waste separation at source in central Vietnam.

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Publication Details

Journal
Environmental Science and Pollution Research
Published
2024-08-05
DOI
https://doi.org/10.1007/s11356-024-34485-2
Citations
6
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
1.76

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article

Understanding driving forces of food waste separation intention to enhance regional and local solid waste planning: application of PLS-SEM and multi-group analysis

Habuer, Cuong Le Dinh, Song Toan Pham Phu, Takeshi Fujiwara
6 citations
Environmental Science and Pollution Research
Municipal Solid Waste Management
1.76
article

Understanding driving forces of food waste separation intention to enhance regional and local solid waste planning: application of PLS-SEM and multi-group analysis

Habuer, Cuong Le Dinh, Song Toan Pham Phu, Takeshi Fujiwara
article en
6 citations

Abstract

This study extended the theory of planned behaviour (TPB) and applied it to analyse influencing factors of food waste separation intention (FSI) among households in central Vietnam. Partial least squares structural equation modelling (PLS-SEM) was employed to analyse the data. The heterogeneity of factors contributing to FSI in cities of three levels was examined using multi-group analysis (MGA). The results indicate that attitudes, subjective norms (SN), perceived behavioural control (PBC), awareness of benefit (AB), information publicity (IP), facility availability (FA), and trust significantly affected FSI of households. MGA results indicated the heterogeneity of impacts of PBC and attitude on FSI of households among three municipal levels. The results will serve as basic data for waste officers, solid-waste management project leaders, non-governmental organisations (NGOs), and other related stakeholders to lay the foundation of food waste management planning in terms of regional scale and local scale. This study will also aid the creation of a circular economy by providing a scientific base for enhancing food waste separation at source in central Vietnam.

Environmental Science and Pollution ResearchVol. 31(38)
Okayama University of Science (JP), Okayama University (JP), University of Da Nang (VN)
Đại học Đà Nẵng, Ministry of Education, Culture, Sports, Science and Technology, Okayama University, Đại học Huế
Responsible consumption and production
Openalex Percentile: Top 17%
Municipal Solid Waste Management
1.76
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Understanding driving forces of food waste separation intention to enhance regional and local solid waste planning: application of PLS-SEM and multi-group analysis — Habuer, Cuong Le Dinh, et al. · Environmental Science and Pollution Research (2024) | TGRS Research Map | TGRS