Abstract:

Aiming to facilitate the development of a unified， professional， and orderly data factor trading market， this paper conducts a quantitative analysis of 148 data factor trading policies issued by the State Council and various ministries and commissions， and from a developmental perspective， examines these policies through the dimensions of “type， subject， regeneration， tool， and theme.” The study summarizes the evolutionary logic of data factor trading policies， analyzes the practical challenges facing market construction， and proposes pathways for optimizing data factor trading policies. The research shows that China's data factor trading policies have problems such as lagging legal design， misalignment of responsible entities， prominent replicative regeneration， imbalanced instrument selection， and overly macro-uniform thematic focus. To address these challenges， the following optimization strategies are proposed： strengthening transactional laws to provide programmatic guidance for data factor trading； engaging diverse policy actors as an engine to supply comprehensive momentum for collaborative development； refining policy regeneration as a breakthrough to chart a flagship direction for data factor trading； balancing policy instruments as a safeguard to offer foundational guidance for data factor trading； and diversifying policy themes as a cornerstone to establish institutional foundations for data factor trading.

Key words: data factor, data factor trading policy, policy regeneration, policy theme, policy tool