Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 254

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Can Mobile Money Help Firms Mitigate the Problem of Access to Finance in Eastern sub-Saharan Africa?

Gosavi, Aparna·2018·Journal of African Business

Abstract

Mobile money is a mobile-phone-based financial tool that can transfer money safely and quickly across a wide geographical area. Mobile money has transformed the way businesses in Eastern sub-Saharan Africa operate. Nowadays, banks team up with mobile-money-service providers and pay interest on deposits and grant loans based on financial transactions in mobile-money accounts. In this paper, these recent developments are investigated in order to determine whether the adoption of mobile money by firms can actually help them mitigate the vexing problem of access to finance. To answer this question, the World Bank’s Enterprise Surveys Program data set for the year 2013 is used, thus making the study applicable to the present time. The results obtained, after controlling for a large number of firm-level characteristics and using a newly introduced measure to identify access-to-finance status of the firms, indicate that firms which use mobile money are more likely to obtain loans or lines of credit. Further analysis shows that the firms that use mobile money are more productive than other firms in the region.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/15228916.2017.1396791

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Cited by

See all 254

Metadata

Authors
Gosavi, A.
Venue
Journal of African Business
Published
2017-11-08
Volume
19
Issue
3
Pages
343-360
ISSN
  • 1522-8916 (ISSN-L)
  • 1522-9076
OpenAlex
W2767756048
Cited by
254
References
3
FWCI
41.02
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Can Mobile Money Help Firms Mitigate the Problem of Access to Finance in Eastern sub-Saharan Africa? https://app.cochat.ai/papers/10.1080/15228916.2017.1396791
The paper
Gosavi, A. (2018). Can Mobile Money Help Firms Mitigate the Problem of Access to Finance in Eastern sub-Saharan Africa? Journal of African Business. https://doi.org/10.1080/15228916.2017.1396791

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.