Measurement and Prediction of Regional Tourism Sustainability: An Analysis of the Yangtze River Economic Zone, China
Canmian Liu,
Ruyun Zhang,
Min Wang and
Jing Xu
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Canmian Liu: Business School, Sichuan University, Chengdu 610065, China
Ruyun Zhang: Business School, Sichuan University, Chengdu 610065, China
Min Wang: Business School, Sichuan University, Chengdu 610065, China
Jing Xu: Business School, Sichuan University, Chengdu 610065, China
Sustainability, 2018, vol. 10, issue 5, 1-20
Abstract:
In view of sustainable development of tourism, this paper firstly constructs a more comprehensive and scientific index system from the economical/societal/resource-related/environmental aspects of tourism and evaluates the sustainable and comprehensive development level of tourism in 11 provinces and cities of the Yangtze River economic zone by using the weighted TOPSIS (The Technique for Order Preference by Similarity to an Ideal Solution ) method; secondly, it analyzes the coupling coordination evolution relationship between tourism and the economy/society/resources/environment in different provinces and cities of the Yangtze river economic zone based on the coupling coordination model from the spatio-temporal dimension; and finally, it predicts the coupling coordination degree of the provinces and cities in the region in the next few years by the grey model (1,1) and puts forward some countermeasures and suggestions. According to the study, this method provides an effective reference to the study on the sustainable development of tourism and is very significant for learning the sustainable development of regional tourism and establishing specific and scientific countermeasures for improvement.
Keywords: regional tourism sustainable development; weighted TOPSIS; coupling coordination model; grey model (1,1); the Yangtze river economic zone (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (15)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:5:p:1321-:d:143044
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