区块链-AIGC融合的智能数据产权管理对财务绩效的影响——基于A股上市公司

The Impact of Intelligent Data Property Rights Management Integrated with Blockchain and AIGC on Financial Performance—Evidence from A-Share Listed Companies

摘要: 数据要素市场化配置背景下，确权难、交易成本高、维权滞后等问题制约企业价值创造。区块链与AIGC融合构建的智能数据产权管理系统，为破解数据产权管理困境、提升运营效率与财务绩效提供了全新技术路径。为探讨智能数据产权管理对企业财务绩效的影响及内在机制，本研究选取2022~2024年中国A股182家制造业与互联网上市公司数据，采用熵权-TOPSIS方法测度系统效率，实证检验智能数据产权管理效率对企业财务绩效的作用效果与传导路径。研究结果表明：区块链-AIGC融合的智能数据产权管理效率显著提升企业财务绩效；机制检验发现，智能数据产权管理通过提升数据确权、流通与维权效率，进而改善企业财务绩效；异质性分析显示，该提升效应在大型企业中更为显著，对中小企业则更能促进创新绩效。本研究从技术融合视角拓展了数据产权管理与企业绩效的相关研究，从政府、企业层面为推动数据要素市场化配置与智能数据系统建设提供了经验启示。

Abstract: Against the backdrop of the market-oriented allocation of data factors, difficulties in rights confirmation, high transaction costs, and delayed rights protection restrict corporate value creation. The intelligent data property rights management system built through the integration of blockchain and AIGC provides a new technological path to resolve the dilemmas in data property rights management and improve operational efficiency as well as financial performance. To explore the impact and internal mechanism of intelligent data property rights management on corporate financial performance, this paper selects data from 182 manufacturing and Internet listed companies in China's A-share market from 2022 to 2024, measures system efficiency using the entropy weight-TOPSIS method, and empirically tests the effect and transmission path of intelligent data property rights management efficiency on corporate financial performance. The results show that the efficiency of intelligent data property rights management integrated with blockchain and AIGC significantly improves corporate financial performance. Mechanism tests reveal that intelligent data property rights management enhances financial performance by improving the efficiency of data rights confirmation, circulation and rights protection. Heterogeneity analysis indicates that this promotion effect is more significant in large enterprises, while it can better boost innovation performance in small and medium-sized enterprises. From the perspective of technological integration, this paper expands the research on data property rights management and corporate performance, and provides empirical implications for promoting the market-oriented allocation of data factors and the construction of intelligent data systems at the government and enterprise levels.