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Analysis of wildlife tourism experiences with endangered species: An exploratory study of encounters with giant pandas in Chengdu, China

Analysis of wildlife tourism experiences with endangered species: An exploratory study of encounters with giant pandas in Chengdu, China

Cong, Li, Wu, Bihu, Morrison, Alastair M., Shu, Hua and Wang, Mu (2013) Analysis of wildlife tourism experiences with endangered species: An exploratory study of encounters with giant pandas in Chengdu, China. Tourism Management, 40. pp. 300-310. ISSN 0261-5177 (doi:https://doi.org/10.1016/j.tourman.2013.07.005)

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Abstract

This research examined wildlife tourism experiences in a unique site and species combination: giant pandas at the Chengdu Research Base of Giant Panda Breeding (CRBGPB) in Sichuan, China. Content analysis was undertaken on tourist reviews of CRBGPB on TripAdvisor.com in early 2012. The thematic analysis qualitative method was adopted in examining respondents' written reviews of experiences interacting with giant pandas. ROST CM6 and NVivo 8 were used for the content analysis and qualitative coding.

A variety of tourist experiences, motivations, and preferences were revealed. Although respondents' experiences were varied, satisfaction increased with closer encounters and interactions with the giant pandas. The thematic analysis identified three features of the wildlife tourism experiences at CRBGPB: tourists, giant pandas, and settings. Implications and management recommendations were identified for sites offering wildlife tourism experiences.

Item Type: Article
Uncontrolled Keywords: China; Content analysis; Giant panda; Social media; Tourist experiences; Thematic analysis; Visitor–wildlife interaction; Wildlife tourism
Subjects: G Geography. Anthropology. Recreation > GV Recreation Leisure
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Department of Marketing, Events & Tourism
Last Modified: 05 Dec 2019 16:26
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/26277

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