Exploring long-term impact of digital financial inclusion on humanitarian crises in Africa: evidence from dynamic common correlated estimation technique

Purpose This study aims to examine the long-term impact of digital financial inclusion (DFII) on humanitarian crises (HC) in Africa. Specifically, it seeks to explore how DFII, as both a technological and financial innovation, can be used to strengthen long-term crisis management, empower beneficiaries and support sustainable humanitarian efforts across African countries. Additionally, the research investigates how DFII can help reduce mortality rates, improve access to clean water and decrease refugee populations. Design/methodology/approach This study explores long-term DFII influence on HC in Africa nations from 2004 to 2023, using dynamic common correlated estimation (DCCE) method, and Dumitrescu and Hurlin (2012) Granger causality test. Findings The DCCE results portray a long-term diminishing influence of DFII on HC. Specifically, greater DFII reduces HC including mortality rates and refugee populations, while improving clean water access, over the long-term. Additionally, less insecurity (IS) reduces HC over the long-term. Other significant drivers of HC are political instability (PS) and domestic credit to private sector (DCPS). The causality test’s results portray a bi-directional causality between DFII and HC, with one-way causality from IS, PS, PR and DCPS to HC. Research limitations/implications The research unravels the significant role of DFII in alleviating humanitarian crises in African nations over the long-term. Additionally, it portrays that improvements in DFII helps in reducing mortality rates and refugee populations, including increasing access to clean water. Practical implications To manage and alleviate HC, Africa’s policymakers are advised to adopt strategies that promote DFII, invest in digital infrastructure and integrate these systems into disaster management frameworks to enhance the effectiveness of humanitarian responses. Originality/value This study presents a novel multi-country analysis of DFII and HC relationship across ten under-researched African nations. It provides empirical evidence on DFII role in crisis management, as well as actionable insights for policymakers and humanitarian actors seeking cost-effective, transparent and workable aid delivery solutions.

Authors

Institutions

Publication Details

Journal
Journal of Humanitarian Logistics and Supply Chain Management
Published
2026-02-05
DOI
https://doi.org/10.1108/jhlscm-05-2025-0085
Primary Topic
Economic Growth and Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring long-term impact of digital financial inclusion on humanitarian crises in Africa: evidence from dynamic common correlated estimation technique

Musa Abdullahi Sakanko, Nurudeen Abu
Journal of Humanitarian Logistics and Supply Chain Management
Economic Growth and Development
article

Exploring long-term impact of digital financial inclusion on humanitarian crises in Africa: evidence from dynamic common correlated estimation technique

Musa Abdullahi Sakanko, Nurudeen Abu
article en

Abstract

Purpose This study aims to examine the long-term impact of digital financial inclusion (DFII) on humanitarian crises (HC) in Africa. Specifically, it seeks to explore how DFII, as both a technological and financial innovation, can be used to strengthen long-term crisis management, empower beneficiaries and support sustainable humanitarian efforts across African countries. Additionally, the research investigates how DFII can help reduce mortality rates, improve access to clean water and decrease refugee populations. Design/methodology/approach This study explores long-term DFII influence on HC in Africa nations from 2004 to 2023, using dynamic common correlated estimation (DCCE) method, and Dumitrescu and Hurlin (2012) Granger causality test. Findings The DCCE results portray a long-term diminishing influence of DFII on HC. Specifically, greater DFII reduces HC including mortality rates and refugee populations, while improving clean water access, over the long-term. Additionally, less insecurity (IS) reduces HC over the long-term. Other significant drivers of HC are political instability (PS) and domestic credit to private sector (DCPS). The causality test’s results portray a bi-directional causality between DFII and HC, with one-way causality from IS, PS, PR and DCPS to HC. Research limitations/implications The research unravels the significant role of DFII in alleviating humanitarian crises in African nations over the long-term. Additionally, it portrays that improvements in DFII helps in reducing mortality rates and refugee populations, including increasing access to clean water. Practical implications To manage and alleviate HC, Africa’s policymakers are advised to adopt strategies that promote DFII, invest in digital infrastructure and integrate these systems into disaster management frameworks to enhance the effectiveness of humanitarian responses. Originality/value This study presents a novel multi-country analysis of DFII and HC relationship across ten under-researched African nations. It provides empirical evidence on DFII role in crisis management, as well as actionable insights for policymakers and humanitarian actors seeking cost-effective, transparent and workable aid delivery solutions.

Journal of Humanitarian Logistics and Supply Chain Management
Kaneka (United States) (US), Sultan Zainal Abidin University (MY), Federal University of Technology Minna (NG)
Reduced inequalities
Openalex Percentile: Top 77%
Economic Growth and Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.