Spatial-temporal differences and influencing factors of grassland tourism network attention in China
[Objective]The evolution of network information technology has made online attention a key driver in the development of grassland tourism in China.This study aims to explore,the spatial and temporal distribution characteristics and influencing factors of grassland tourism in China and the factors influencing network attention,pro-viding a scientific basis for resource allocation and product promotion strategies.[Method]Using data from the Baidu index platform,the temporal and spatial variations in national grassland tourism network attention were analyzed through seasonal intensity index,geographic concentration index and Herfindahl coefficient.[Result](1)In terms of interannual distribution characteristics,grassland tourism network attention exhibited a"growth-decline-recovery"trend over the years,with significant fluctuations before and after the COVID-19 pandemic.Monthly distribution showed a unimodal seasonal pattern with pronounced seasonal differences.(2)At the inter-provincial level,the spa-tial distribution concentration of grassland tourism network attention was dispersed,while at the regional level,the level of network attention followed an eastern>central>western regions pattern.(3)The temporal variations were primarily influenced by the diversification of emerging tourism types,normalization of epidemic prevention and con-trol,and climate comfort.Spatial differences showed a positive correlation between network attention and,disposable income of permanent residents and internet penetration rates across provinces and cities.There was a moderate corre-lation with GDP,but no significant correlation with total tourism income.[Conclusion]To enhance grassland tourism in China,this study recommends improvements in development planning,publicity and marketing,and product supply aligning with trends in network attention.These insights can serve as a reference for decision-making in grassland tourism resource allocation and promotion strategies.
grassland tourismnetwork attentiontemporal and spatial differencesinfluencing factors
NETL
NSTL
万方数据
