Digital Transformation, Supplier Concentration, and Trade Credit Financing
- DOI
- 10.2991/978-94-6239-699-9_54How to use a DOI?
- Keywords
- Digital Transformation; Commercial Credit Financing; Supplier Concentration
- Abstract
With the widespread application of technologies such as big data and artificial intelligence, coupled with increasing policy support, digital transformation has permeated the entire business operation process, emerging as a pivotal force in reshaping the commercial credit ecosystem. This study therefore employs empirical research to explore the relationship between digital transformation and corporate commercial credit financing. The findings indicate that digital transformation does indeed facilitate commercial credit financing, and that reducing supplier concentration is a critical pathway through which digital transformation drives such financing. Heterogeneity analysis reveals that this promotional effect is more pronounced in central and western regions, state-owned enterprises, and high-tech firms. This study offers new insights into corporate financing logic in the digital era and provides valuable implications for governments to optimize digital support policies and for enterprises to advance digital transformation with precision.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ruyi Jiang AU - Shiying Xu PY - 2026 DA - 2026/06/02 TI - Digital Transformation, Supplier Concentration, and Trade Credit Financing BT - Proceedings of the 2026 4th International Conference on Digital Economy and Management Science (CDEMS 2026) PB - Atlantis Press SP - 501 EP - 507 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-699-9_54 DO - 10.2991/978-94-6239-699-9_54 ID - Jiang2026 ER -