660
Views
23
CrossRef citations to date
0
Altmetric
Article

Toward a model of destination resident–environment relationship: the case of Gulangyu, China

, & ORCID Icon
Pages 469-483 | Received 28 Sep 2018, Accepted 03 Jan 2019, Published online: 17 Feb 2019
 

ABSTRACT

This study tested an integrative model to better understand residents’ environmentally responsible behaviour (RERB) and willingness to sacrifice for the environment (WTS) using a sample of 430 residents on Gulangyu Island in China. Results show that destination environmental quality and eco-friendly reputation directly affected resident environmental identification and environmental commitment. Destination eco-friendly reputation directly influenced RERB and WTS. Both resident environmental identification and commitment directly affected RERB and WTS. Furthermore, environmental identification and environmental commitment fully mediate the effects of environmental quality on RERB and WTS, and partially mediate the effects of destination eco-friendly reputation on RERB and WTS.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This study was supported by the National Natural Science Foundation of China (No. 71774176; 71573279), Natural Science Foundation of Distinguished Young Scholars of Hunan Province (No. 2017JJ1032); State Key Program of National Natural Science Foundation of China (No. 71431006).

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 309.00 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.