Scientific Quantitative Analysis of Digital Financial Risk Research

DOI

10.2991/978-94-6239-774-3_10How to use a DOI?

Keywords

Digital Finance; Risk Transmission; Financial Risk; Heterogeneous Characteristics; Visualisation Analysis

Abstract

In the context of global financial digital transformation and evolving cross-border financial risk patterns, research on the digital financial risk transmission mechanism and systematic governance framework has become a key focus. Using bibliometric analysis and systematic evaluation, this paper selects Representative frontier literature from Web of Science Core Collection (1984-2026) and conducts visual and quantitative analysis with VOSviewer and Bibliometrix. This study focuses on the core research question of how digital financial risks are generated, transmitted, and governed across micro, meso, and macro levels. The results show that digital financial risk presents a multi-level transmission pattern based on the “Micro-Meso-Macro” framework, with significant heterogeneous impacts on non-state-owned enterprises, SMEs, and underdeveloped regions. These risks are closely related to zombie enterprises, increased financial information asymmetry, and regulatory-industrial innovation mismatch. Meanwhile, digital finance’s endogenous technological empowerment and external institutional coordination can effectively curb such cross-level risk transmission. The findings provide theoretical support for cross-border financial supervision and practical references for digital financial governance.

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.

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TY  - CONF
AU  - Jiayi Li
AU  - Siting Chen
AU  - Chung-Lien Pan
PY  - 2026
DA  - 2026/09/11
TI  - Scientific Quantitative Analysis of Digital Financial Risk Research
BT  - Proceedings of the 2026 5th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2026
PB  - Atlantis Press
SP  - 102
EP  - 109
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-774-3_10
DO  - 10.2991/978-94-6239-774-3_10
ID  - Li2026
ER  -