abstract: Under the background of the "new normal" of China's economy and the contraction of traditional financial sector, the development of Internet finance provides new financing channels for SMEs and individual financial needs. But with rapid development of the Internet finance, the overall risk also appears gradually as well as the platform differentiation appears more evidently. China's Internet financial industry enters the stage of standardization development. In order to effectively prevent and resolve Internet financial risks and create a good internet financial environment, we need to identify the risk factors of Internet financial industry. Through reference carding of the existing literature, this paper proposes a research hypothesis that the industrial economic background is negatively related to the operating risk of the Internet financial platform. After descriptive statistical analysis of the current situation of the Internet financial industry in China, this paper collects 600 P2P net-lending platforms data manually, and uses Probit model to test the research hypothesis. Ceteris paribus, the result show that compared with the platform without industrial economic background, the risk probability of the industrial economic background platform will be reduced by 6.5 percentage points， and there is no regional difference in this result. This paper explains the result from two layers which are the relieving information asymmetry and the platform’s reputation mechanism. The study also finds that in addition to the industrial economic background, the P2P platform's registered capital, operation time, whether the platform funds have the corresponding third-party guarantee and the information disclosure of platform executives will significantly reduce business risk probability of the platforms. The above research conclusions also passed the robust test. Finally, this paper makes a case analysis of the two Internet Financial platforms in Suning Finance and Tuniu Finance, which have different industrial economic background and mode of operation. It also summarizes the risk control system. / Dissertation/Thesis / Doctoral Dissertation Business Administration 2018
| Identifer | oai:union.ndltd.org:asu.edu/item:49201 |
| Date | January 2018 |
| Contributors | Sheng, Yuxin (Author), Gu, Bin (Advisor), Zhang, Anmin (Advisor), Jiang, Zhan (Committee member), Arizona State University (Publisher) |
| Source Sets | Arizona State University |
| Language | Chinese |
| Detected Language | English |
| Type | Doctoral Dissertation |
| Format | 134 pages |
| Rights | http://rightsstatements.org/vocab/InC/1.0/, All Rights Reserved |
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