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From supporting to practising leave no trace

An explanation from the theory of reasoned action and the social exchange theory

Bibliographic Data

ID21699183
AuthorsSai Leung Ng (0000-0001-9367-8539, Chinese Culture University, corresponding author), Sai-Leung Ng (Chinese Culture University)
Year2024
Volume27
Issue14
Pages2308-2324
Publication date2024-07-17
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueCurrent Issues in Tourism (JOURNAL)
Journal identifiersISSN: 1368-3500 • E-ISSN: 1747-7603
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/13683500.2023.2228971
OpenAlexW4382987015
LanguageEN
Citations received4
References cited79

This study proposes an integrated model that incorporates the theory of reasoned action (TRA) and the social exchange theory (SET) to investigate the Leave No Trace (LNT) behaviour of hikers in Hong Kong. Structural equation modelling (SEM) was performed to analyse the data of a voluntary survey (n = 374) conducted from December 2019 to June 2020. The results indicate that attitude and subjective norm significantly control intention, which eventually affect LNT participation, as suggested by the TRA. Perceived benefit positively influences attitude, which affects support for LNT intervention, leading to LNT intention, participation, and intensity, as predicted by the SET. LNT participation is significantly correlated with LNT intensity. This study contributes to the knowledge body by offering a new perspective on LNT behaviour of visitors to protected areas. This study also provides a reference for Hong Kong and other cities around the world in managing the sustainability of protected areas

Economics · Management · Political science · Social exchange theory · Statistics · Structural equation modeling · Theory of planned behavior · Theory of reasoned action · Computer Science · Diverse Aspects of Tourism Research · Economic and Environmental Valuation · Environmental Education and Sustainability · Mathematics · Psychology · Social Psychology

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Unique citing works4
Citations per year4
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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