Empirical Research on Innovation of Internet Financial Regulatory System Based on Big Data Technology
- DOI
- 10.2991/978-94-6463-030-5_6How to use a DOI?
- Keywords
- Big Data Technology; Internet Finance; Panel Data Regression Model; Big Data Innovation Supervision; Big Data Intelligent Supervision
- Abstract
Big data technology has great application value in Internet finance, which can well solve the problem of supervision failure caused by the rapid development of Internet finance in China. Based on the panel data of 31 provinces and cities in China from 2013 to 2019, this paper constructed a panel regression model. After analyzing the impact of financial regulation on the development of Internet finance, it further discussed the framework and loopholes of the existing financial regulation system, finally puts forward some innovative ideas combined with the application mode of big data technology, such as building big data supervision mode with interconnection and information sharing, establishing multi-level intelligent supervision system of big data and comprehensive and safe credit investigation system of big data and so on, so as to promote the coordinated development of Internet finance and supervision system in China.
- Copyright
- © 2023 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 - Yingyun Zhang AU - Cheng Huang PY - 2022 DA - 2022/12/20 TI - Empirical Research on Innovation of Internet Financial Regulatory System Based on Big Data Technology BT - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022) PB - Atlantis Press SP - 42 EP - 51 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-030-5_6 DO - 10.2991/978-94-6463-030-5_6 ID - Zhang2022 ER -