数字时代如何提升政府数据开放绩效，充分发挥数据要素价值，成为学界和业界高度关注的重要议题。文章引入动态能力理论构建政府数据开放“能力-绩效”分析框架，基于21个省份的面板数据，运用模糊集定性比较分析（fsQCA）与回归分析，探究了不同维度动态能力及其相互作用对政府数据开放绩效的影响。研究发现：制度设计能力、技术同化能力与数据提供能力等能力对政府数据开放绩效具有显著正向影响；上述能力无法独立构成政府数据开放高绩效的必要条件，而是通过相互作用对政府数据开放绩效发挥联动影响，形成三条影响政府数据开放绩效的路径，分别是机会感知型、综合驱动型、快速响应型。

How to achieve high-quality government data openness and fully leverage the value of data elements have emerged as a critical concern for both academia and industry in digital age. Based on panel data from 21 provinces, this study introduces the dynamic capability theory to establish a “capability-performance” analytical framework. By employing a mixed-method approach that integrates fuzzy-set qualitative comparative analysis (fsQCA) and regression analysis, this study explored the separate impact of each capability and their interactive relationships on government data openness performance. The results shows: capabilities including institutional design, technology assimilation and data provisioning have a significant positive impact on government data openness performance; these capabilities cannot independently constitute the necessary conditions for the high-performance of government data openness; these capabilities form three conditional configurations leading to the high-performance of government data openness : the “opportunity perception” type, the“comprehensive driving” type and the “rapid response” type.