摘要
Abstract
Tourism carries the people's yearning for better life,and the development of county-level tourism has gradually become an important starting point and effective path to promote urban-rural integration,help construction of beautiful China and promote common prosperity.Utilizing the nearest neighbor index,kernel density estimation,gravity model,bivariate spatial autocorrelation,and binary logistic regression,an analysis was conducted on the spatial and temporal distribution of China's top 100 counties in tourism,as well as the correlation factors influencing their advancement and retreat patterns.The data utilized in this research encompassed the panel data of China's top 100 tourism counties spanning from 2019 to 2023.It reveals that:(1)The spatial distribution of the top 100 tourism counties appears"more in the east and fewer in the west,"gradually forming a dual-core agglomeration pattern centered around the"one main(Yangtze River Delta)and one secondary(Sichuan-Guizhou)"regions.(2)Various correlation factors,including natural environmental conditions,socio-economic factors,and policy planning,jointly impact the distribution of the top 100 tourism counties.(3)In terms of formation mechanism,tourism resources,geographical agglomeration,economic scale and industrial structure have a significant impact on the pattern of advance and retreat of the top 100 tourism counties.关键词
旅游百强县/县域旅游/逻辑回归/双变量空间自相关/影响因素/空间分布Key words
top 100 tourism counties/county tourism/logistic regression/bivariate spatial autocorrelation/influencing factors/spatial distribution分类
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