Spatial-temporal pattern and influencing factors of tourism industry agglomeration in counties along the Great Wall Dataset.xlsx

The paper focuses on a study of 59 counties along the Great Wall in Hebei Province, China. It combines the characteristics of these counties along the Great Wall and takes into consideration the radiation effects of the points, lines, and surfaces of the Great Wall's tourism resources. The location quotient is used to measure the level of tourism industry agglomeration from 2012 to 2020. The study employs GIS spatial analysis and spatial autocorrelation methods to comprehensively and systematically analyze the characteristics and spatiotemporal evolution of regional tourism agglomeration. Additionally, a spatiotemporal geographically weighted regression model is utilized to analyze the influencing factors of tourism industry agglomeration in different counties. The study reveals a more comprehensive phenomenon, enriching the related research results regarding tourism industry agglomeration. This is of great significance in promoting the formation and sustainable development of county-level tourism industry agglomeration along the Great Wall.