Deakin University
Browse

Predictors of waste sorting and recycling behavioural intention among youths: Evidence from Shenzhen, China and Turku, Finland

Version 2 2024-06-05, 03:05
Version 1 2022-10-31, 02:30
journal contribution
posted on 2024-06-05, 03:05 authored by M Huang, Kris LawKris Law, S Geng, B Niu, P Kettunen
Waste sorting and recycling (WSAR) is a crucial issue for sustainable waste management. Growing up with new values, the younger generation has the responsibility to lead the society towards a sustainable future. The successful implementation of WSAR requires an in-depth understanding of the attitudes and obstacles of the youth participation. This study seeks to explore and compare the influencing factors of youth engagement in WSAR in Shenzhen, China and Turku, Finland by drawing on the theory of planned behaviour. Quantitative data was collected from 170 youth citizens in Shenzhen and 179 in Turku. Structural equation modelling results suggest that there is a clear consistency between the youth’s intention and behaviour in both cities. Two reverse pyramids were constructed to prioritize the influencing factors based on their importance in the structural models. Subjective norms, knowledge and perceived behavioural control are key influencing factors in Shenzhen group while in Turku’ s setting, compatibility acts as a top determinant whereas, subjective norms have the least influencing power. Results from Turku also reveal that lower compatibility does not necessarily hinder youth participation in WSAR practice. Several suggestions and implications on boosting youth participation in WSAR are drawn, based on these findings.

History

Journal

Waste Management and Research

Volume

40

Pagination

721-735

Location

London, Eng.

ISSN

0734-242X

eISSN

1096-3669

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Issue

6

Publisher

SAGE Publications

Usage metrics

    Research Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC