Abstract: Research from the perspective of economic society, resource environment and ecology, by improving the set pair analysis (SPA) method in system engineering, and combining the indicator system, the overall level of eco-innovation of coastal tourism and its sub-index in all coastal provinces are comprehensively measured.Based on the evaluation results, the geo-weighted regression model (GWR) is used to analyze the influencing factors of the ecological innovation level of the coastal tourism and its spatial differentiation patterns.As the results show, the overall level of eco-innovation of coastal tourism in coastal regions is relatively low and the spatial distribution shows significant disparity; in terms of its influencing factors, the investment of industrial pollution control, the income of marine scientific research, the proportion of total tourism revenue in the tertiary industry, the total number of tourism enterprises are all positively associated with the level of eco-innovationof coastal tourism, while the total tourism revenue and the total number of tourists are negatively correlated with the level of eco-innovation of coastal tourism; considering its spatial distribution, the influence of the total tourism revenue, the proportion of tourism revenue in the tertiary industry, the marine research funding income and the total number of tourists on the level of ecological innovation increased from south to north.And the influence of the investment in industrial pollution control and the total number of tourism enterprises generally spread to north and south with the eastern part as the core.