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Promises and pitfalls of digital credit: Empirical evidence from Kenya

Digital credit is a recent innovation that raises hopes of improving credit access in developing countries. However, up until now, empirical research on the extent to which digital credit actually reaches people who are otherwise excluded from conventional credit markets and whether increased credit...

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Detalles Bibliográficos
Autores principales: Johnen, Constantin, Parlasca, Martin, Mußhoff, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8301605/
https://www.ncbi.nlm.nih.gov/pubmed/34297776
http://dx.doi.org/10.1371/journal.pone.0255215
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author Johnen, Constantin
Parlasca, Martin
Mußhoff, Oliver
author_facet Johnen, Constantin
Parlasca, Martin
Mußhoff, Oliver
author_sort Johnen, Constantin
collection PubMed
description Digital credit is a recent innovation that raises hopes of improving credit access in developing countries. However, up until now, empirical research on the extent to which digital credit actually reaches people who are otherwise excluded from conventional credit markets and whether increased credit access is sustainable or threatened by high default and blacklisting rates is very scarce. Using representative data from Kenya, this article shows that digital credit increases borrowing opportunities, including for people less likely to otherwise have credit access in the conventional credit markets. However, we find that digital credit borrowing is also responsible for 90% of all blacklistings, which is partially driven by higher default rates in the digital credit market but also by a higher probability that digital credit defaults lead to blacklisting of the borrower, compared to defaults in other credit markets.
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spelling pubmed-83016052021-07-31 Promises and pitfalls of digital credit: Empirical evidence from Kenya Johnen, Constantin Parlasca, Martin Mußhoff, Oliver PLoS One Research Article Digital credit is a recent innovation that raises hopes of improving credit access in developing countries. However, up until now, empirical research on the extent to which digital credit actually reaches people who are otherwise excluded from conventional credit markets and whether increased credit access is sustainable or threatened by high default and blacklisting rates is very scarce. Using representative data from Kenya, this article shows that digital credit increases borrowing opportunities, including for people less likely to otherwise have credit access in the conventional credit markets. However, we find that digital credit borrowing is also responsible for 90% of all blacklistings, which is partially driven by higher default rates in the digital credit market but also by a higher probability that digital credit defaults lead to blacklisting of the borrower, compared to defaults in other credit markets. Public Library of Science 2021-07-23 /pmc/articles/PMC8301605/ /pubmed/34297776 http://dx.doi.org/10.1371/journal.pone.0255215 Text en © 2021 Johnen et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Johnen, Constantin
Parlasca, Martin
Mußhoff, Oliver
Promises and pitfalls of digital credit: Empirical evidence from Kenya
title Promises and pitfalls of digital credit: Empirical evidence from Kenya
title_full Promises and pitfalls of digital credit: Empirical evidence from Kenya
title_fullStr Promises and pitfalls of digital credit: Empirical evidence from Kenya
title_full_unstemmed Promises and pitfalls of digital credit: Empirical evidence from Kenya
title_short Promises and pitfalls of digital credit: Empirical evidence from Kenya
title_sort promises and pitfalls of digital credit: empirical evidence from kenya
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8301605/
https://www.ncbi.nlm.nih.gov/pubmed/34297776
http://dx.doi.org/10.1371/journal.pone.0255215
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