Evidence map›Paper›PMID 42384712›Full record

ArticlePloS one2026

Determinants of mobile money loan disbursements: Evidence from Uganda's post pandemic digital credit boom.

Lorna Katusiime, Frank W Agbola

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Lorna KatusiimeMonetary Policy Department, Bank of Uganda, Kampala, Uganda.ORCID https://orcid.org/0000-0002-8840-5269
Frank W AgbolaNewcastle Business School, The University of Newcastle, Callaghan, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the aftermath of the COVID-19 pandemic, Uganda witnessed a rapid rise in mobile money usage and digital credit adoption, underscoring the sector's role in post crisis recovery and financial resilience. Against this backdrop, this paper examines the determinants of mobile money loan disbursements in Uganda a global pioneer in mobile financial innovation, using monthly data from July 2021 to December 2024 and applying the Autoregressive Distributed Lag (ARDL) cointegration framework to capture both long-run relationships and short-run dynamics. Results show a long-run relationship linking average loan disbursements with outstanding loan values and lagged inflation. In the short term, past loan disbursements have a significant impact on current loan values. Behavioural proxies are informative, airtime purchases and timely mobile loan repayments are associated with higher disbursement volumes, consistent with lenders interpreting them as signals of reliability and liquidity. By contrast, higher transaction volumes and fees depress disbursements, underscoring the adverse impact of elevated user costs on credit access. These findings highlight actionable levers for expanding responsible digital credit and deepening inclusion.

Indexed as

Cell PhoneCOVID-19PandemicsHumansSARS-CoV-2Uganda

Identifiers

PMID42384712
PMCPMC13322560

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.