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A multidimensional perspective on the relationship between tourism and green growth

Bibliographic Data

ID7324239
AuthorsJiekuan Zhang (0000-0002-0598-0584, Guilin Tourism University, corresponding author)
Year2023
Volume32
Issue12
Pages2423-2441
Publication date2023-10-30
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Sustainable Tourism (JOURNAL)
Journal identifiersISSN: 0966-9582 • E-ISSN: 1747-7646
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/09669582.2023.2276039
OpenAlexW4388020803
LanguageEN
Citations received8
References cited52

This paper examines the various channels through which the tourism ecosystem can affect green development, utilizing a configurational approach to identify underlying mechanisms. Fuzzy-set qualitative comparative analysis and necessary condition analysis are employed. The findings reveal that tourism does not act as either a necessary component or bottleneck to green development. Four models of tourism-driven high green development are identified including migration-based, growth-based, government-led tourism-driven, and government-led non-tourism-driven. Additionally, the causal relationship between tourism and green development is apparent primarily in less economically-developed regions. The study affirms the asymmetric causal impact of tourism on green development and presents a systematic and in-depth understanding of the asymmetric multivariate pathways that tourism can use to promote green development. These findings represent a significant contribution to the current literature and offer new perspectives for the field of sustainable tourism research

Business · China · Ecotourism · Government (linguistics · Green growth · Political science · Qualitative comparative analysis · Regional science · Sociology · Sustainable development · Sustainable tourism · Tourism · Tourism geography · Computer Science · Energy, Environment, Economic Growth · Forest Management and Policy · Qualitative Comparative Analysis Research · Marketing

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Unique citing works8
Citations per year4
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 8

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