This paper takes Yunnan Province as the research object, and uses the coupling coordination degree model, natural discontinuity classification method, kernel density estimation, and Dagum Gini coefficient method to explore the spatial-temporal pattern and differences of coupling coordination characteristics between inbound tourism and regional economy. On this basis, the Stochastic Forest regression model is used to identify the dominant factors affecting the coordinated development level of inbound tourism, regional economy and the coupling of inbound tourism and regional economy in Yunnan Province. The coupling coordinated development level between inbound tourism and regional economy of cities in Yunnan Province continues to improve as a whole, leaping to a higher level of coordinated development, but the spatial imbalance of regional development is prominent. Financial support for tourism, optimization of industrial structure, level of transportation, richness of tourism resources, richness of tourism facilities, atmosphere of business activities, and level of scientific and technological research and development are the leading factors affecting the coupling and coordinated development of inbound tourism and regional economy in Yunnan Province.

以云南省为研究对象, 使用耦合协调度模型、自然间断点分级法、核密度估计和Dagum基尼系数法, 探究入境旅游与区域经济的耦合协调特征的时空格局与差异。在此基础上, 使用随机森林回归模型, 分别识别影响云南省入境旅游、区域经济以及入境旅游与区域经济耦合协调发展水平的主导因素。研究结果表明, 云南省各城市入境旅游与区域经济耦合协调发展水平整体上不断提升, 向更高水平的协调发展状态跃进, 但区域发展空间不均衡性突出; 旅游财政支持力度、产业结构优化、交通运输水平、旅游资源丰富度、旅游设施丰富度、商业活动氛围和科技研发水平是影响云南省入境旅游与区域经济耦合协调发展的主导因素。