Citation
Abstract
Achieving sustainable tourism is the pivotal motto of countries that have tourist revenue as an integral part of their economy. Analysis based on the spatial distribution of tourist elements is a primary factor in accomplishing the sustainable development of tourism. This work focuses on investigating the spatial structure of tourist elements of Shanxi province into five zones, which are divided geographically. A holistic evaluation system is devised that explores the relationship between regional ecological environment and tourism elements of each spatial zone through the coupling coordinated model. This framework for the model is rooted on nine first class indexes with 31 base class indices which capture the characteristics of tourism elements as well as ecological traits. The study is based on data collected for a comprehensive period of about 20 years, primarily sourced from the China Statistical Yearbook (2001–2020), China Tourism Statistical Yearbook (2001–2020), and Shanxi Statistical Yearbook (2001–2020). The results indicate that the country is slowly and marginally heading towards achieving good coupling coordination degree despite the impact of industrial activity and rapid tourism development.
Download File
Official URL or Download Paper: https://journal.gnest.org/publication/gnest_07587
|
Additional Metadata
| Item Type: | Article |
|---|---|
| Subject: | Environmental Science (all) |
| Divisions: | Faculty of Forestry and Environment School of Business and Economics |
| DOI Number: | https://doi.org/10.30955/gnj.07587 |
| Publisher: | Global NEST |
| Keywords: | Coupling coordination degree; Ecological environment; Entropy; Environmental pressure; Spatial structures; Tourism elements |
| Sustainable Development Goals (SDGs): | SDG 8: Decent Work and Economic Growth, SDG 11: Sustainable Cities and Communities, SDG 15: Life on Land |
| Depositing User: | Ms. Siti Radziah Mohamed@mahmod |
| Date Deposited: | 24 Jun 2026 01:44 |
| Last Modified: | 24 Jun 2026 01:44 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.30955/gnj.07587 |
| URI: | http://psasir.upm.edu.my/id/eprint/126414 |
| Statistic Details: | View Download Statistic |
Actions (login required)
![]() |
View Item |
