The Effect of Data Asset Disclosure on the Innovation Input Level of Listed Companies based on DID Model

Abstract

Against the backdrop of the vigorous development of the digital economy, the implementation of the Interim Provisions on the Accounting Treatment of Enterprise Data Resources on January 1, 2024, holds milestone significance. This paper focuses on data asset disclosure in financial statements, selects the annual report data of listed companies in 2023 and 2024 as samples, and uses the difference-in-differences (DID) method to conduct a study on the impact of data asset disclosure in financial statements on the innovation input level of listed companies. The results show that data asset disclosure can significantly improve enterprises' R&D input level, and the robustness test further enhances the reliability of the study. This research outcome not only provides practical guidance for enterprises to use data asset disclosure to enhance their innovation capabilities, but also offers theoretical experience for in-depth understanding of how data factors drive high-quality economic development at the micro level. Meanwhile, it provides empirical references for relevant authorities to optimize the system of data asset disclosure and fully release the value of data factors.