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| STUDY ON THE RESILIENCE ASSESSMENT OF THE TOURISM INDUSTRY AND THE DRIVER NON-STABILITY OF THE PSR MODEL: A CASE OF THE YELLOW RIVER BASIN |
| WANG Zhao-feng, ZHANG Xian-tian |
| College of Tourism, Hunan Normal University, Changsha 410081, China |
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Abstract Scientifically evaluating the resilience of the tourism industry and exploring its influencing factors is an important link in promoting the high-quality development of tourism in the Yellow River Basin. This paper builds a tourism industry resilience index system based on the PSR model, and kernel density estimation, spatial Markov chain, GWTR and other methods are used to characterize the evolution trend, and analyze the driving factors of tourism industry resilience in 80 prefecture level cities from 2005 to 2020 in the Yellow River basin. Findings indicate that: 1) The resilience level of the tourism industry in the basin shows a slow upward trend, and the polarization phenomenon in the whole Yellow River basin and the middle reaches of the Yellow River has slowed down at the end of the study period, but the overall coordination of the resilience of the tourism industry in the Yellow River basin needs to be strengthened, and the key points to alleviate the resilience differentiation phenomenon in the basin are located in the upstream and upstream areas. 2) High level cities with resilience have evolved from regional "agglomeration" to "contiguous" distribution, while low level cities have developed from "multi center" to "single center". Resilience exhibits a phenomenon of "club convergence" in spatial evolution between high and low aggregation, and there is a certain degree of "Matthew" effect in the continuous transfer process. 3) The degree of influence of each driving factor is in order of urban digital infrastructure>government behavior>Chen urbanization>tourism industry agglomeration>environmental regulation; Locally, the wave direction and action intensity of each driving factor vary at different time and space.
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Received: 17 June 2022
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Corresponding Authors:
10.13959/j.issn.1003-2398.2023.05.011
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