EconPapers    
Economics at your fingertips  
 

Microlending on mobile social credit platforms: an exploratory study using Philippine loan contracts

Jian Mou (), James Westland, Tuan Q. Phan () and Tianhui Tan ()
Additional contact information
Jian Mou: School of Business, Pusan National University
Tuan Q. Phan: National University of Singapore
Tianhui Tan: National University of Singapore

Electronic Commerce Research, 2020, vol. 20, issue 1, No 8, 173-196

Abstract: Abstract Microlending has grown rapidly and now benefits around 250 million people globally, half who would otherwise not have access to credit. Use of social credit systems for microlending risk assessment is most pronounced in Asia, as most Western countries tightly regulate personal information available to lenders. In most of the developing world, geography, social structure, disease, climate and culture have a much stronger influence on credit risk and borrowing than do governmental and corporate systems. In this study, we obtained 784 loan contracts with 3577,912 personal communications and locations. Exploratory analysis found loan default depends on social network structure; graph analysis indicated that those who were likely to default tended to communicate with other likely defaulters. Detailed tests were equivocal, suggesting that social network communication structure provided little additional information to predict default, and may even add noise to the data. Our tests strongly supported the importance of location and proximity to particular sorts of landmarks on the potential for default. Proximity to some landmarks, e.g. city hall, moving companies and train stations, were associated with lower loan default. Others, such as parks, stadiums and bus stations, were correlated with a higher loan default. We restructured our tests based on risk-return versus loan default effect with little change in results.

Keywords: Social credit systems; Social networks; Privacy; Credit scoring; Microlending; Peer-to-peer lending; Credit risk (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s10660-019-09391-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:elcore:v:20:y:2020:i:1:d:10.1007_s10660-019-09391-2

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10660

DOI: 10.1007/s10660-019-09391-2

Access Statistics for this article

Electronic Commerce Research is currently edited by James Westland

More articles in Electronic Commerce Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:elcore:v:20:y:2020:i:1:d:10.1007_s10660-019-09391-2