Abstract:    The rapid evolution of profound changes unseen in a century and the construction of a resilient innovation ecosystem have become the only way to build an innovative country. Based on the four dimensions of buffering, diversity, liquidity and evolution, this paper constructed an indicator system for innovation ecosystem resilience. It innovatively employed a combined evaluation method of vertical and horizontal grading method and entropy weight method for a dynamic measurement and analysis. Additionally, the Dagum Gini coefficients were used to reveal regional differences and sources of innovation ecosystem resilience. Furthermore, the spatial Durbin model was adopted to explore the key factors affecting the resilience of innovation ecosystem and their spatial spillover effects from both internal and external environmental levels. The results showed that: (1) the resilience of the innovation ecosystem continues to improve, showing a situation of "strong in the east and weak in the central and western regions"; From the perspective of subdimension, buffering, mobility and evolution are on the rise, and diversity is relatively stable. (2) The resilience of innovation ecosystem in the eastern region is relatively different, and the difference between the central and western regions is the least. The overall difference of innovation ecosystem resilience shows an increasing trend, and the main sources are interregional difference, intra-regional difference and super-variable density. (3) Intelligence level, industrial diversification and intellectual property protection all significantly improve the resilience of local innovation ecosystem. Government support and urbanization all have negative spatial spillover effects, and foreign investment has no significant impact on the resilience of innovation ecosystem. The research conclusion of this paper will provide a useful reference for enhancing the resilience of the innovation ecosystem and achieving high-level technological self-reliance and strength.

Key words: innovation ecosystem resilience, regional difference, influencing factor, Dagum Gini coefficient, spatial Durbin model