Dynamic Evolution of Resilience in China's Tourism Industry and Analysis of Obstacle Factors
Speeding up the development of a modern industrial system is essential for achieving high-quality growth in China's tourism industry,and resilience theory offers a novel approach for its research.This study,grounded in resilience theory,constructs a tourism industry resilience evaluation index system across five dimensions of the"internal-external"subsystem.Utilizing entropy weight-TOPSIS,Kernel density analysis,the Dagum Gini coefficient,and the Obstacle Model,it comprehensively assesses the resilience level,regional disparities,and impediments to the tourism industry across 30 provinces in China from 2004 to 2022.The findings reveal:Over the study period,China's tourism resilience has progressively improved,with external subsystems outpacing internal ones.At the regional level,this growth follows an east>central>west>northeast pattern,with the northeast outpacing the west,central,and east.Regional disparities in tourism resilience have narrowed over the study period,with gradual declines in the eastern and central regions and fluctuating declines in the northeast and west.The key to these regional disparities lies in the differences between the eastern,central,western,and northeastern regions.The top five impediments to China's tourism resilience over the study period include population density,tourist-to-tertiary sector employment ratio,urban residents'disposable income,tourism economic density,and labor productivity in the tourism sector.The combined impact of these top three obstacles surpasses 50%.
tourism industrytourism industry resilienceresilience theoryobstacle factor
万方数据
维普
