320
Views
0
CrossRef citations to date
0
Altmetric
Articles

Coupling coordination and obstacle factors between tourism and the ecological environment in Chongqing, China: a multi-model comparison

ORCID Icon, ORCID Icon, , , , & show all
Pages 811-828 | Published online: 20 May 2021
 

ABSTRACT

This paper constructed the tourism and eco-environment index system, calculated the coupling and coordination relationship between them in Chongqing, from 2000 to 2017, by comparing 9 combination models; and identified the main obstacles through the obstacle model. The results showed that: (1) The comprehensive weighting method (CWM) has the highest accuracy, the coupling coordination mode (CCDM) is more adaptable; the CWM-CCDM is the most suitable. (2) The coupling degree changed from antagonism to run-in phase. (3) The coupling coordination degree improved annually, is in moderate coordination stage currently. (4) The tourism had greater obstacles; the main obstacles vary with time.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research was funded by the Science and Technology Research Program of Chongqing Municipal Education Commission [Grant No. KJQN201901129]; Humanities and Social Sciences Research Program of Chongqing Municipal Education Commission [Grant No. 19SKGH132]; Chongqing Social Science Planning Project [2019YBGL075]; and Scientific Research Foundation of Chongqing University of Technology; Guizhou Science and Technology Plan Project [QKHZC20204Y008]; Chinese Ministry of Education Humanities and Social Sciences Project [20YJAZH093].

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 153.00 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.