The data-sharing problem in the digital transformation of ecological environmental protection is a result of complex interactions and continuous strategic interactions among governments. While existing research has focused on the application and impact of digital technologies in ecological environmental protection, there remains a paucity of micro-level investigations into data sharing among different local governments regarding ecological environment protection. Notably, the issue of data barriers between local governments is particularly prominent. This paper analyzes the data-sharing problem in the digital transformation of ecological environmental protection through an evolutionary game model involving central and local governments, providing new perspectives and methods for understanding and improving data sharing and governance of ecological environmental protection, thereby promoting the digital transformation of the ecological environmental governance system and governance capacity. It finds that six stable equilibrium strategies can form based on local government participation levels, with the superior government's active promotion and regulation being crucial for achieving stable, multi-party participation. Key factors include the superior government's administrative costs and incentives, and local governments' benefits, costs, and risk considerations. The study highlights the importance of benefit-sharing rules and provides optimization strategies for enhancing intergovernmental data sharing.
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