The role of online peer-to-peer lending in crisis response: Evidence from kiva

Lusi Yang, Zhiyi Wang, Yi Ding, Jungpil Hahn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Online peer-to-peer (P2P) lending, a new form of microfinance, has been touted as to its prominent potential for reducing world poverty. Although a growing body of IS research has been devoted to examining online P2P lending, how such platforms actually make a difference in curbing poverty has yet to be fully explored. The Ebola outbreak of 2014 provides us a unique empirical opportunity to explore such broader impacts of online P2P lending. Leveraging this event as a natural experiment, we investigate how the demand and supply sides of P2P lending platforms react to an unpredictable crisis. Employing a difference-in-difference identification strategy with data from Kiva.org, we conduct country- and loan-level estimations. Preliminary results show upward trends on both demand and supply sides of P2P lending; borrowers request more financial capital and lenders are more active in their lending behaviors in the post-crisis period. We extend online P2P lending literature by investigating the influences of "off-platform" shocks on within-platform behaviors.

Original languageEnglish (US)
Title of host publication2016 International Conference on Information Systems, ICIS 2016
PublisherAssociation for Information Systems
ISBN (Electronic)9780996683135
StatePublished - 2016
Externally publishedYes
Event2016 International Conference on Information Systems, ICIS 2016 - Dublin, Ireland
Duration: Dec 11 2016Dec 14 2016

Publication series

Name2016 International Conference on Information Systems, ICIS 2016

Other

Other2016 International Conference on Information Systems, ICIS 2016
Country/TerritoryIreland
CityDublin
Period12/11/1612/14/16

Keywords

  • Crisis response
  • Difference-in-difference
  • Online microfinance
  • Online peer-to-peer lending
  • Prosocial behavior

ASJC Scopus subject areas

  • Information Systems

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