E3S Web Conf.
Volume 214, 20202020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
|Number of page(s)||4|
|Section||Digital Development and Environmental Management of Energy Supply Chain|
|Published online||07 December 2020|
The Statistical Analysis of the Transaction Volume of Peer-to-Peer Lending in China
College of Literature Law & Economics Wuhan University of Science & Technology Wuhan, China
* Corresponding author’s e-mail: firstname.lastname@example.org
Since 2013, China’s P2P lending industry has developed rapidly, but many related problems have been exposed. Following the regulation of the P2P lending industry, the transaction volume of the P2P lending declines significantly. In order to study the development trend of China’s P2P lending industry, based on the monthly data of China’s P2P lending transaction volume from January 2014 to December 2019, the regression method was used to make seasonal adjustment. Then the Newey-west estimation method was used to make regression to establish the P2P lending transaction volume model in China. After analysis, it is concluded that the structure of China’s P2P lending industry changed in 2017, and the volume of P2P lending industry will continue to decline in the future. Therefore, China’s P2P lending industry not only needs to strengthen the supervision system of Internet credit, but also needs to promote Internet credit innovation and develop Internet credit technology and business model.
© The Authors, published by EDP Sciences, 2020
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.
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