Abstract: Policy coordination is a crucial foundation for ensuring and promoting the healthy and sustainable development of industries.This paper takes 868 hydrogen energy-related policies in China as the research object,designing a policy coordination measurement framework that includes two dimensions-time and space-and three elements:policy actors,instruments,and themes.Using deep learning and grey relational analysis,the study quantifies the coordination of China’s hydrogen energy policies.The findings indicate that,in the time dimension,the network of cooperation among policy actors in China’s hydrogen energy sector is expanding,and the degree of coordination continues to improve.However,the coordination of policy instruments has slightly decreased,with a preference for pilot demonstrations and regulatory standards over tools like government procurement and tax incentives.The coordination of policy themes is at an upper-middle level and continues to improve,though policy support for hydrogen production,storage,transportation,and refueling still needs enhancement.In the spatial dimension,the coordination of actors at the central government level is significantly higher than in other hydrogen energy industrial clusters,while the coordination of themes is at a lower-middle level,notably below that of other clusters.The use of policy instruments by the central government and hydrogen energy industrial clusters is similar,with little difference in instrument coordination.Moving forward,efforts should focus on establishing cross-regional policy coordination frameworks and communication platforms,optimizing the combination of policy instruments,and promoting the development of upstream and midstream segments of the hydrogen energy industry for coordinated optimization.

Key words: Hydrogen, Policy Synergy Measurement, Deep Learning, Policy Instruments, Policy Themes