Decoding food waste behaviours among Chinese consumers: Machine learning insights into the intention-behaviour gap.
- DOI
- 10.1177/0734242x251408289
- Published
- 2026 Jul
- Container
- Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1177/0734242x251408289,
title = {Decoding food waste behaviours among Chinese consumers: Machine learning insights into the intention-behaviour gap.},
author = {Wang Y},
year = {2026},
journal = {Waste management \& research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA},
doi = {10.1177/0734242x251408289},
url = {https://doi.org/10.1177/0734242x251408289}
}RIS
TY - JOUR TI - Decoding food waste behaviours among Chinese consumers: Machine learning insights into the intention-behaviour gap. AU - Wang Y PY - 2026 JO - Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA DO - 10.1177/0734242x251408289 UR - https://doi.org/10.1177/0734242x251408289 ER -
APA
Y, W. (2026). Decoding food waste behaviours among Chinese consumers: Machine learning insights into the intention-behaviour gap.. Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA. https://doi.org/10.1177/0734242x251408289
Source records
- pubmed · retrieved 2026-09-27T13:11:19.034Z