Research on the Coordinated Measurement and Spatiotemporal Evolution of Digital Economy Empowering Ecotourism

While China’s digital economy has grown rapidly, ecotourism development remains comparatively slow, necessitating strategies for their coordinated advancement. This study employs a coupling coordination model to analyze their spatiotemporal dynamics using panel data from 30 provinces (2011–2022). Standard deviational ellipse analysis, kernel density estimation, and the Dagum Gini coefficient are applied to assess regional disparities and trends.Findings indicate a steady improvement in digital economy–ecotourism coordination, with stronger integration in the east and south and weaker links in the west and north. Regional disparities remain the primary challenge, reflected in the fluctuating Gini coefficient. The kernel density analysis reveals a polarization trend at national and regional levels, with the rightward shift of the distribution indicating growing differentiation. However, the standard deviational ellipse suggests declining spatial inequalities, with increased regional clustering and a narrowing development gap.To address these imbalances, the study highlights the need for targeted digital transformation strategies in ecotourism. Key recommendations include strengthening digital infrastructure, fostering interregional collaboration, and leveraging emerging technologies such as AI, big data, and IoT to enhance ecotourism services. Promoting industrial convergence and policy support is crucial for achieving balanced regional development and sustainable ecotourism growth.