2021
DOI: 10.1017/s0022109021000259
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Social Capital, Trusting, and Trustworthiness: Evidence from Peer-to-Peer Lending

Abstract: How does social capital affect trust? Evidence from a Chinese peer-to-peer lending platform shows that regional social capital affects the trustee’s trustworthiness and the trustor’s trust propensity. Ceteris paribus, borrowers from regions with higher social capital receive larger bids from individual lenders and have higher funding success, larger loan sizes, and lower default rates, especially for low-quality borrowers. Lenders from regions with higher social capital take higher risks and have higher defaul… Show more

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Cited by 59 publications
(19 citation statements)
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“…A growing body of literature has investigated the predictable factors of creditworthiness and financing costs in the peer-to-peer lending market. For instance, race (Pope & Sydnor, 2011), gender (Chen et al, 2017;Chen et al, 2020;Li et al, 2020), education (Chen et al, 2018a;Xu et al, 2020), formal credit records (Li et al, 2021), credit grade (Emekter et al, 2015), appearance (Duarte et al, 2012), social capital (Freedman & Jin, 2017;Hasan et al, 2020Hasan et al, , 2021Jiang et al, 2020;Lin et al, 2013), university reputation (Li & Hu, 2019), and loan description (Chen et al, 2018b;Dorfleitner et al, 2016;Herzenstein et al, 2011) can predict borrowers' repayment behavior or interest rates.…”
Section: Online Lending Studiesmentioning
confidence: 99%
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“…A growing body of literature has investigated the predictable factors of creditworthiness and financing costs in the peer-to-peer lending market. For instance, race (Pope & Sydnor, 2011), gender (Chen et al, 2017;Chen et al, 2020;Li et al, 2020), education (Chen et al, 2018a;Xu et al, 2020), formal credit records (Li et al, 2021), credit grade (Emekter et al, 2015), appearance (Duarte et al, 2012), social capital (Freedman & Jin, 2017;Hasan et al, 2020Hasan et al, , 2021Jiang et al, 2020;Lin et al, 2013), university reputation (Li & Hu, 2019), and loan description (Chen et al, 2018b;Dorfleitner et al, 2016;Herzenstein et al, 2011) can predict borrowers' repayment behavior or interest rates.…”
Section: Online Lending Studiesmentioning
confidence: 99%
“…Additionally, migrants are more monetarily motivated and are more likely to have sufficient savings (Barham & Boucher, 1998;Knight et al, 2011) than are nonmigrants. Moreover, borrowers from regions with higher social capital have lower default rates (Hasan et al, 2020(Hasan et al, , 2021. The trust index from a national survey of Chinese enterprises in 2000 (Zhang & Ke, 2003) is a component of social capital (Hasan et al, 2020(Hasan et al, , 2021.…”
Section: Online Lending Studiesmentioning
confidence: 99%
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