Abstract
Using difference-in-differences (DID) methodology on data from Chinese A-share companies spanning 2010 to 2022, the study leverages the China's Supply Chain Innovation and Application Pilot Program as a quasi-natural experiment to examine how supply chain digital transformation (SCDT) affects corporate financial stability, particularly expected default frequency (EDF). The results show that SCDT significantly reduces EDF by enhancing operational efficiency, improving resource coordination, and mitigating financial risks. The study identifies mechanisms driving this effect—including improved transparency in information sharing, reinforced internal governance, and reduced dependency on external financing—validated by robustness checks, such as propensity score matching and instrumental variable analysis. The impact of SCDT varies across firms, with larger companies and those in regions that have less exposure to markets, experiencing greater financial benefits of SCDT due to firm-specific characteristics and local conditions.
| Original language | English |
|---|---|
| Article number | 104603 |
| Number of pages | 12 |
| Journal | International Review of Financial Analysis |
| Volume | 107 |
| Early online date | 11 Sept 2025 |
| DOIs | |
| Publication status | Published - Nov 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
User-Defined Keywords
- Expected default frequency
- Financing constraints
- Information transparency
- Internal control
- Supply chain digital transformation
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