E3S Web Conf.
Volume 235, 20212020 International Conference on New Energy Technology and Industrial Development (NETID 2020)
|Number of page(s)
|Analysis on the Development of Intelligent Supply Chain and Internet Digital Industrialization
|03 February 2021
Central bank’s supervision on commercial banks’ credit business an exploratory post-epidemic-based research
Guangzhou College of Technology and Business, Foshan, Chinese
The epidemic of COVID-19 broke out, domestic economy suffered a heavy setback, the Central Bank of China launched a series of policies against this backdrop, aiming to stimulate the economy. However, some investors speculate from the loose loans in real estate, which makes the funds policy originally used for stimulating the real economy to be artificially drained into the real estate market, further resulting in the imbalance of social supply. To solve this problem, from the perspective of the central bank and with the use of literature research and other methods, this paper makes research on analyzes the central bank’s credit supervision on commercial banks. Study shows that information collection and monetary policy are the problems with central bank. Through big data technology and monetary policy into the new reference index two angles to try to solve the problem. It aims to effectively strengthen the efficiency and level of central bank’s supervision. Meanwhile it can provide corresponding theories and references for subsequent research. The limitation of this study is that there is no specific application supporting the analysis. Otherwise the paper would be more applicable in practice. Therefore, this problem needs to be further studied and solved.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.