2020
DOI: 10.1016/j.jbankfin.2019.105633
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Gender gap in peer-to-peer lending: Evidence from China

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Cited by 83 publications
(52 citation statements)
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“…In addition, the finding of this study that gender differences do not affect borrowers' repayment performance outcomes contradicts the results of D. Chen et al (2017) and X. Chen et al (2019), who found that female borrowers outperform male borrowers in terms of loan repayment. Considering that gender discrimination has been confirmed in a number of previous studies of traditional loan markets and P2P lending markets, it is believed that individual lenders in the Korean P2P lending market are making good decisions about a borrower's gender, despite the fact that they are unskilled ordinary individuals who do not have much credit assessment experience.…”
Section: Discussioncontrasting
confidence: 99%
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“…In addition, the finding of this study that gender differences do not affect borrowers' repayment performance outcomes contradicts the results of D. Chen et al (2017) and X. Chen et al (2019), who found that female borrowers outperform male borrowers in terms of loan repayment. Considering that gender discrimination has been confirmed in a number of previous studies of traditional loan markets and P2P lending markets, it is believed that individual lenders in the Korean P2P lending market are making good decisions about a borrower's gender, despite the fact that they are unskilled ordinary individuals who do not have much credit assessment experience.…”
Section: Discussioncontrasting
confidence: 99%
“…In other words, no gender discrimination has been found in the three Korean P2P lending markets, and such indiscrimination by individual lenders is rational. The results of this study are similar to those of Barasinska and Schafer (2014), who analyzed Prosper data, but they differ from the findings of other studies that identified gender discrimination in individual lenders' funding decisions (D. Chen et al, 2017;X. Chen et al, 2019;Kuwabara & Thebaud, 2017;Pope & Sydnor, 2011).…”
Section: Discussioncontrasting
confidence: 54%
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“…In P2P loans, while factors similar to those affecting repayment of conventional loans, such as demographic, financial, and credit information (Chen et al ., 2017; Chen et al ., 2020; Ding et al ., 2019; Hu et al ., 2019; Pope and Sydnor, 2011; Tao et al ., 2017; Wang et al ., 2019) are important, factors not considered in assessing a borrower's creditworthiness in making conventional loans, such as perceived appearance (Duarte et al ., 2012), social network (Freedman and Jin, 2017), geographic location (Jiang et al ., 2019), language (Jiang et al ., 2019), and friendships (Lin et al ., 2013), are found to have a significant impact on repayment performance.…”
Section: Literature Reviewmentioning
confidence: 99%