Skip to main navigation Skip to search Skip to main content

Does digitalizing supply chains enhance corporate financial stability?

  • Ying Yu
  • , Haoyang Wu
  • , Yijiang Tan*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

6 Citations (Scopus)

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 languageEnglish
Article number104603
Number of pages12
JournalInternational Review of Financial Analysis
Volume107
Early online date11 Sept 2025
DOIs
Publication statusPublished - Nov 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

User-Defined Keywords

  • Expected default frequency
  • Financing constraints
  • Information transparency
  • Internal control
  • Supply chain digital transformation

Fingerprint

Dive into the research topics of 'Does digitalizing supply chains enhance corporate financial stability?'. Together they form a unique fingerprint.

Cite this