The rapid development of intelligent technology has brought new possibilities for decision support in ecotourism management. This study combines various technologies, such as computer and data mining, to build an intelligent decision-making system for ecotourism resource management, which can achieve the functions of evaluating, analysing and predicting ecotourism resources in order to carry out environmental evaluation and environmental monitoring. The XGBoost algorithm was used to construct an ecotourism environmental evaluation model and evaluate its performance. Subsequently, relevant variables were selected to construct an impact model of the ecotourism resource management intelligent decision-making system with the environment and economy, and empirical analysis was carried out in combination with structural equation modelling. The results show that the ecotourism resource management intelligent decision-making system has a significant positive promotion effect on both the environment and the economy (p < 0.001). On the one hand, ecotourism management can promote natural resource conservation, enhance environmental monitoring, and promote green technology innovation. On the other hand, it also contributes significantly to job creation, the development of traditional cultural industries, the development of training institutions, and infrastructure development.