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Cited by 258

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

The Low-Carbon Imperative: Destination Management under Urgent Climate Change

Open access
Gössling, Stefan, Higham, James·2021·Journal of Travel Research

Abstract

To stay within the safe boundaries of global warming, the world now has 30 years to decarbonize its economy. This represents a very significant challenge for tourism as a growth system. Much attention has been paid to different tourism subsectors such as aviation, accommodation, and activities to reduce emissions, mostly on the basis of (future) technology. However, the Paris Agreement demands immediate action and significant year-on-year progress on a zero-carbon trajectory. This article discusses destination management under the new low-carbon imperative. It analyses challenges, including economic viability and resilience, that have also gained importance in light of the COVID-19 pandemic, and explores opportunities for better profitability on the basis of a leakage/spending value dichotomy proposition. The final section highlights the foremost role that destination managers must play in building prosperous and resilient low-carbon tourism destination systems and discusses the key insights for destination managers.

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Metadata

Authors
Gössling, S., & Higham, J.
Venue
Journal of Travel Research
Published
2020-07-10
Volume
60
Issue
6
Pages
1167-1179
ISSN
  • 0047-2875 (ISSN-L)
  • 1552-6763
OpenAlex
W3041036898
Cited by
258
References
56
FWCI
30.08
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The Low-Carbon Imperative: Destination Management under Urgent Climate Change. https://app.cochat.ai/papers/10.1177/0047287520933679
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Gössling, S., & Higham, J. (2021). The Low-Carbon Imperative: Destination Management under Urgent Climate Change. Journal of Travel Research. https://doi.org/10.1177/0047287520933679

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.