论文题目：Can public data openness enhance corporate trade credit in China?

刊物名称：Applied Economics

发表时间：2025-06

刊物期号：2025,1（6）

论文摘要：

This study leverages a quasi-natural experiment involving the phased implementation of public data openness platforms in China from 2002 to 2022. Using panel data of listed firms and a staggered difference-in-differences model, we analyse the impact of public data openness on corporate trade credit. The findings indicate that public data openness significantly enhances trade credit through mechanisms such as promoting market competition, improving firms’ access to government data, facilitating the accumulation of data assets, and enhancing managerial efficiency. Heterogeneity analysis reveals variation in policy effects across regions, ownership-control structure, regional economic vitality, and financial infrastructure. Specifically, the policy proves more effective in economically underdeveloped regions, areas with high economic dynamism, cities with well-developed financial infrastructure, and firms with separated ownership and management. Further analysis of economic consequences demonstrates that public data openness reduces firms’ financing constraints, enhances their ability to access long-term credit, and lowers financing costs after improving trade credit. This study systematically validates the impact of public data openness on trade credit, expands the research frontier on data factors and corporate behaviour, and provides valuable insights for formulating global public data openness policies.

关键字：Public data openness; trade  credit

博士生简介：

2021级博士生，研究方向数据要素。