英文摘要 |
This research collected data from three domestic P2P lending websites. The sample period was from 2016 to 2017, and the total sample size was 291. This paper used the Ordered Probit model and subdivided it into four groups (i.e., credit amount, gender, age, and income) for empirically cross-analysis comparison. The empirical results found that the long period of the loan, the property owner, high education, long years of working experience, and the holder of credit cards may help to upgrade credit rating. The factors such as high interest rate, female, and elders may downgrade credit rating. P2P Lending makes small loans, and borrowers with insufficient credit have more opportunities to obtain the funds. It also enhances economic growth, promotes the payment flow, and contributes to the development of inclusive finance. |