A SURVEY TO IDENTIFY MOTIVATORS AND BARRIERS OF INTENTION TO REDUCE FOOD WASTE AMONG MALAYSIAN HOUSEHOLDS

Food waste is a serious global issue that contributes to the loss of nature and exacerbates environmental degradation. In Malaysia, the effects of food waste have garnered increased attention due to their impacts on the environment and food security. This study adopted a research framework based on the extended theory of planned behaviour to examine factors affecting the intention to reduce food waste and subsequent food waste behaviour among Malaysian households. A total of 397 samples were gathered through a questionnaire survey, and partial least square structural equation modelling was employed for data analysis. The study found that social norms, attitude, and negative emotions significantly and positively influence people’s intention to reduce food waste. Furthermore, cost savings and a healthy diet also positively influence the intention to reduce food waste. Health risk concerns, however, have a negative impact on households’ desire to cut food waste. The findings of this study can provide Malaysian policymakers with a foundation for future decisions aimed at reducing food waste, in line with three United Nations Sustainable Development Goals: Goal 2 (zero hunger), Goal 12 (sustainable consumption and production), and Goal 13 (climate action).

Authors

Publication Details

Journal
Journal of Sustainability Science and Management
Published
2024-09-30
DOI
https://doi.org/10.46754/jssm.2024.09.007
Citations
1
Primary Topic
Food Waste Reduction and Sustainability
Type
article
Field-Weighted Citation Impact
0.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A SURVEY TO IDENTIFY MOTIVATORS AND BARRIERS OF INTENTION TO REDUCE FOOD WASTE AMONG MALAYSIAN HOUSEHOLDS

Ah Suat Lee, Noor Amalina Mat Yusof, Yen-Hong Ng, Suet‐Ling Ching et al.
1 citations
Journal of Sustainability Science and Management
Food Waste Reduction and Sustainability
0.35
article

A SURVEY TO IDENTIFY MOTIVATORS AND BARRIERS OF INTENTION TO REDUCE FOOD WASTE AMONG MALAYSIAN HOUSEHOLDS

Ah Suat Lee, Noor Amalina Mat Yusof, Yen-Hong Ng, Suet‐Ling Ching, Lin‐Sea Lau, SAW-CHIN KHOR, EDMUND LAWRENCE KIMARO
article en
1 citations

Abstract

Food waste is a serious global issue that contributes to the loss of nature and exacerbates environmental degradation. In Malaysia, the effects of food waste have garnered increased attention due to their impacts on the environment and food security. This study adopted a research framework based on the extended theory of planned behaviour to examine factors affecting the intention to reduce food waste and subsequent food waste behaviour among Malaysian households. A total of 397 samples were gathered through a questionnaire survey, and partial least square structural equation modelling was employed for data analysis. The study found that social norms, attitude, and negative emotions significantly and positively influence people’s intention to reduce food waste. Furthermore, cost savings and a healthy diet also positively influence the intention to reduce food waste. Health risk concerns, however, have a negative impact on households’ desire to cut food waste. The findings of this study can provide Malaysian policymakers with a foundation for future decisions aimed at reducing food waste, in line with three United Nations Sustainable Development Goals: Goal 2 (zero hunger), Goal 12 (sustainable consumption and production), and Goal 13 (climate action).

Journal of Sustainability Science and ManagementVol. 19(9)
Universiti Tunku Abdul Rahman
Zero hunger
Openalex Percentile: Top 34%
Food Waste Reduction and Sustainability
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.