The aim is to analyze the spatial gap and dynamic transfer characteristics of the opening and innovation level ofnational high-tech zones, which has important theoretical and practical significance for improving the opening and innovationlevel of national high-tech zones and promoting regional coordinated development. From the perspective of eight regions,principal component analysis method, Dagum Gini coefficient and its decomposition method, traditional and spatial Markov chainestimation method are used to empirically study the spatio-temporal differentiation and dynamic transfer characteristics of theopen innovation level of 147 national high-tech zones from 2015 to 2020. The findings are as follows: (1) the opening andinnovation level of world-class high-tech parks is better than that of innovative science and technology parks, and innovativescience and technology parks are better than innovative characteristic parks. The level of open innovation is highly correlatedwith the administrative level and population size of the city where the park is located. (2) The overall intra-regional gap in theopening and innovation level of national high-tech zones in the eight regions shows a widening trend. The intra-regional gap inthe opening and innovation level of national high-tech zones in the southern coastal, northern coastal and eastern coastalcountries is the largest, while the intra-regional gap in the Great Northwest national high-tech zones is the smallest. (3) Theinter-regional gap in the opening and innovation level of national high-tech zones in the eight regions showed a widening trend,and the growth rate of the inter-regional gap showed obvious regional heterogeneity, and the inter-regional gap gradually becamethe main source of regional gap. (4) Without considering the spatial correlation effect, its spatial transfer characteristics show thetrend of "asymmetric upward", "club convergence" and "stage difference". In different geographical environments, the transfercharacteristics show significant spatial dependence.