7,093
Views
191
CrossRef citations to date
0
Altmetric
Articles

Achieving voluntary reductions in the carbon footprint of tourism and climate change

, , &
Pages 297-317 | Received 06 Feb 2009, Accepted 06 Oct 2009, Published online: 27 Jan 2010
 

Abstract

This study examines attitudes to tourism and climate change among residents of Hong Kong and evaluates their willingness to voluntarily modify travel behaviours to reduce environmental impacts. Previous studies on environmental behavioural change identified a significant gap between awareness and action, with some studies even suggesting that the most aware individuals are unlikely to change their behaviours. Similar findings were noted in this study. Cluster analysis identified four cohorts of tourists, ranging from the regular international tourist to the least travel active. The regular international tourist group was most aware of global warming and climate change, but least willing to alter its travel behaviour. By contrast, less travel active tourists seem most willing to travel less. The paper concludes that government intervention may be required to create meaningful behavioural change in travel patterns.

Notes

** Significant at p < .01.

* Significant at p < .05.

**Significant at p < .01.

* Significant at p < .05.

**Significant at P < .01.

* Significant at p < .05.

**Significant at p < .01.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 289.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.