Decoding plastic recycling in Vietnam : Packaging design, consumer recognition and model-based exploration

This study investigates plastic food packaging (PFP) recycling symbols in Vietnam through field surveys, questionnaires and statistical and machine-learning models. Results show that 68.2% of shoppers correctly identified the recycling symbol, whereas 87.2% confused waste disposal symbols with recyc...

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Veröffentlicht in:Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA. - 1991. - (2025) vom: 09. Sept., Seite 734242X251366841
1. Verfasser: Lam, Vinh Son (VerfasserIn)
Weitere Verfasser: Nguyen, T Hong Tinh, Tran, Bao Chau, Nguyen, Quoc Chanh, Nguyen, L Tuong Vi, Cap, H Minh Nguyen, Nguyen, Xuan Cuong
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2025
Zugriff auf das übergeordnete Werk:Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Schlagworte:Journal Article Food packaging machine learning plastic waste recyclability recycling symbol
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520 |a This study investigates plastic food packaging (PFP) recycling symbols in Vietnam through field surveys, questionnaires and statistical and machine-learning models. Results show that 68.2% of shoppers correctly identified the recycling symbol, whereas 87.2% confused waste disposal symbols with recyclability. Age correlated positively with accuracy (p < 0.01), but gender had no effect. Waste separators performed worse, likely due to misconceptions (p > 0.05). XGBoost model achieved the best prediction accuracy (MacroF1 = 77.6%, kappa = 0.33), followed by Random Forest (MacroF1 = 76.0%, kappa = 0.29). Shopping frequency, perceived importance of recycling and willingness to support recyclable products were stronger predictors than demographics. Analysis of PFP revealed that 66.7% was recyclable and 33.3% non-recyclable, with polyethylene terephthalate (46.5%) and polypropylene (40.1%) being the dominant recyclable types. Findings highlight the need for standardized labelling, mono-material designs and predictive modelling to enhance consumer awareness and improve recycling efficiency 
650 4 |a Journal Article 
650 4 |a Food packaging 
650 4 |a machine learning 
650 4 |a plastic waste 
650 4 |a recyclability 
650 4 |a recycling symbol 
700 1 |a Nguyen, T Hong Tinh  |e verfasserin  |4 aut 
700 1 |a Tran, Bao Chau  |e verfasserin  |4 aut 
700 1 |a Nguyen, Quoc Chanh  |e verfasserin  |4 aut 
700 1 |a Nguyen, L Tuong Vi  |e verfasserin  |4 aut 
700 1 |a Cap, H Minh Nguyen  |e verfasserin  |4 aut 
700 1 |a Nguyen, Xuan Cuong  |e verfasserin  |4 aut 
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