Abstract:In the context of the "dual carbon" target, how to achieve green development in the tourism industry has become a public concern. The article constructs an indicator system for the green development level of tourism industry in Hebei Province, and studies the spatiotemporal evolution characteristics of the green development level of tourism industry in Hebei Province from 2012 to 2022 through entropy weight TOPSIS method, kernel density estimation method, and Markov chain method. The Tobit model is used to analyze the influencing factors of green development of tourism industry in Hebei Province. The results indicate that the overall level of green development in the tourism industry in Hebei Province is showing an increasing trend, and there are differences in the level of green development in the tourism industry among different regions within the province, with significant spatial dependence characteristics. Per capita income, urbanization level, digital economy development level, and technological innovation level all have a significant positive impact on the green development level of tourism industry in Hebei Province.