湖南财政经济学院学报

政策赋能是数实融合提质、新质生产力培育的重要制度支撑。以湖南省面板数据为样本，采用PVAR-fs QCA双模型，探究政策赋能数实融合的动态效应与组态路径。研究表明，政策与数实融合存在双向正向互动关系，依托政策、技术、要素、产业等多维协同驱动发展。高水平数实融合依赖多要素联动组态，可归纳为政策牵引、技术驱动、要素协同、生态支撑四类等效路径。当前区域融合仍存在政策落地不均衡、要素匹配不足、技术赋能滞后等突出问题。研究成果揭示了政策赋能数实融合的内在机理，为区域精准施策、推进数实深度融合提供了实证支撑。

Policy empowerment constitutes a critical institutional support for the in-depth advancement of digital-real economy integration and the cultivation of new-quality productive forces. Using China' s provincial panel data as research samples,this paper constructs a dual model of PVAR-fs QCA to systematically analyze the internal logic,dynamic interaction effects and multiple configuration paths of policy empowerment for digital-real economy integration. The findings indicate that policy empowerment and digital-real economy integration exert a significant two-way positive impact on each other,with policy guidance,technological innovation,factor allocation and industrial transformation forming a synergistic driving force. A single condition can hardly independently trigger high-level integration,and the multi-factor linkage configuration constitutes the core path to achieve efficient empowerment,which mainly includes four equivalent paths: policyled,technology-driven,factor-coordinated and ecology-supported. At present,there still exist practical obstacles such as unbalanced policy implementation,obvious regional differentiation,insufficient factor matching and lagging technological empowerment. This study reveals the internal mechanism and multiple realization paths of policy empowerment for digital-real economy integration,providing empirical references and decision-making basis for various regions to improve the policy system,implement targeted policies and promote the deep integration of digital and real economies.