基于PSR模型的旅游产业韧性评估及驱动因子非平稳性研究——以黄河流域为例

王兆峰, 张先甜

人文地理 ›› 2023, Vol. 38 ›› Issue (5) : 88-97.

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人文地理 ›› 2023, Vol. 38 ›› Issue (5) : 88-97. DOI: 10.13959/j.issn.1003-2398.2023.05.011
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基于PSR模型的旅游产业韧性评估及驱动因子非平稳性研究——以黄河流域为例

  • 王兆峰, 张先甜
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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
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摘要

本文基于PSR模型构建旅游产业韧性指标体系,运用核密度、马尔科夫链、GWTR等方法分析黄河流域80个地级市2005—2020年旅游产业韧性演变趋势与驱动因子非平稳性。结果表明:①流域内韧性呈上升趋势,缓解韧性分化现象的着力点在上、下游地区。②韧性在空间演变上呈高高聚集与低低聚集的“俱乐部趋同”现象,并在连续转移过程中存在“马太效应”。③各驱动因子影响程度依次为数字化>政府行为>城镇化>产业集聚>环境规制;局部内,各因子在不同时空上的波动方向与作用强度不尽相同。

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.

关键词

旅游韧性 / 时空演化 / 马尔科夫链 / GTWR / 黄河流域

Key words

tourism resilience / evolution of space and time / Markov chain / GTWR / the Yellow River Basin

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王兆峰, 张先甜. 基于PSR模型的旅游产业韧性评估及驱动因子非平稳性研究——以黄河流域为例[J]. 人文地理. 2023, 38(5): 88-97 https://doi.org/10.13959/j.issn.1003-2398.2023.05.011
WANG Zhao-feng, ZHANG Xian-tian. 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[J]. HUMAN GEOGRAPHY. 2023, 38(5): 88-97 https://doi.org/10.13959/j.issn.1003-2398.2023.05.011
中图分类号: F592.7   

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国家自然科学基金项目(41771162)

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