Abstract:The commercialization of marine scientific and technological achievements is affected by multiple factors. However, existing research has rarely explored this issue from the perspective of the innovation ecosystem, particularly in terms of how the synergistic interaction among various innovation elements affects the commercialization efficiency of the commercialization of marine scientific and technological achievements. Based on the theoretical framework of innovation ecosystem, this paper analyzed 11 provinces in China’s eastern coastal region as case samples. It employs the BCC model data envelopment analysis to measure the commercialization efficiency of marine scientific and technological achievements, and utilizes a configuration approach combined with fuzzy-set qualitative comparative analysis method, to identify pathways for improving efficiency within the innovation ecosystem perspective. Key findings include the following: first, no single necessary condition. Factors such as innovation subjects, resources, environment, platforms, and networks alone do not constitute the necessary conditions achieving high commercialization efficiency. Second, four configuration paths are identified for high-efficiency commercialization. Notably, two of these pathways demonstrate an alternative relationship between innovation resources and the innovation environment. Third, asymmetry is shown between high- and low-efficiency. Three non-high-efficiency paths, which show asymmetric relationship compared to the high-efficiency pathways. Fourth, innovation resources and the innovation environment consistently emerged as core conditions—individually or jointly—in both high-efficiency and non-high-efficiency configurations. This highlights their pivotal role in supporting commercialization processes. The study concludes that improving the commercialization efficiency of marine scientific and technological achievements requires leveraging the interplay of innovation elements within the ecosystem. Efforts should focus on optimizing the flow and matching of innovation resources while fostering the endogenous driving capacity of the ecosystem.