华北水利水电大学学报（社会科学版）

加快数据要素向新质生产力转化是推进高质量发展的战略性议题。当前数据要素流通交易与价值化探索方兴未艾，但仍存在数据交易平台定位和运营机制不清晰、数据交易成本高、安全性和可信度难以保证，以及交易主体缺乏激励、场内交易不活跃等瓶颈问题。文章建构了“有用研究、有效市场、有为政府”三维整合视角，在批判性梳理数据流通交易研究的基础上，基于场景驱动创新理论提出了场景驱动数据要素流通交易与价值化理论模式，从有效市场角度解析了数据要素流通交易与价值化的动力机制和实践路径，从有为政府角度探究了数据流通交易市场监管机制和制度体系的建设路径。本研究为推动数据要素全国统一大市场建设，保障数据融通交易安全可信，释放数据要素乘数效应赋能新质生产力提供参考。

Accelerating the transformation of data elements into new quality productive forces is a strategic agenda for advancing high-quality development. While exploration into data circulation, transaction and value realization is gaining momentum, key challenges remain, including unclear positioning and operational mechanisms of data trading platforms, high transaction costs, concerns over security and trustworthiness, lack of incentives for participants, and inactive on-platform trading. This paper constructs a theoretical framework from a three-dimensional perspective, namely, integrating “useful research”, “effective market” and “promising government”. Drawing on context-driven innovation theory, it proposes a conceptual model for context-driven data circulation, transaction, and value realization. On the one hand, the paper analyzes the driving mechanisms and practical pathways for data circulation and value creation from the perspective of effective market dynamics; on the other hand, it explores market regulatory mechanism and institutional construction paths from the perspective of a proactive government. This study provides the reference for supporting the construction of a unified national data market, ensuring secure and trustworthy data transaction, and unlocking the multiplier effects of data elements to empower new quality productive forces.