Probe - Accounting, Auditing and Taxation

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Article Processing Charges (APCs)

US$800

Publication Frequency

Quarterly

ISSN

2661-393X(Online)

PDF

Published

2025-04-11

Issue

Vol 7 No 1 (2025): Published

Section

Articles

How to Cite

Li, L. (2025). Analysis of “Data pledge” financing mode in the era of big data. Probe - Accounting, Auditing and Taxation, 7(1). https://doi.org/10.59429/paat.v7i1.9439
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Analysis of “Data pledge” financing mode in the era of big data

Ling Li

School of Finance, Harbin University of Commerce


DOI: https://doi.org/10.59429/paat.v7i1.9439


Keywords: Big data, data pledge, credit rating


Abstract

Financing difficulties have long been a major challenge for small and medium-sized enterprises in our country. The main reasons include the lack of smooth direct financing channels, complex and difficult bank loans, limited internal financing funds, and immature other indirect financing channels. In the era of big data, new financing models have emerged: “data pledge” financing has creatively opened up a new path for SMEs to obtain funding. This model relies on transaction behavior data from enterprises, leveraging cloud computing and big data technologies to establish a scientific, rigorous, and reasonable credit system and data model. It conducts credit rating analysis on enterprises, effectively addressing the issue of financing difficulties faced by SMEs.


References

[1] Chen Jianhua. Exploring the reasons of financing difficulties of small and medium-sized enterprises in China [j]. Contemporary Economy, 2011, (8): 58-59.

[2] Tang Shida, Li Zhihua, Li Xiaohong. The trend of supply chain finance: “1 N, N 1” and “data pledge” [J]. China Finance, 2015 (10).

[3] Victor Mayer-Schenberg. The era of big data [M]. Zhejiang: Zhejiang People’s Publishing House, 2013.



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