Effect of information and communication technologies on agricultural credit in sub-Saharan Africa

Yapo Fulgence Assi et al.

African Journal of Economic and Management Studies2026https://doi.org/10.1108/ajems-06-2025-0503article
AJG 1ABDC C
Weight
0.50

What the paper says

Purpose This article aims to analyze the effect of Information and Communication Technologies (ICTs) on agricultural credit in sub-Saharan Africa between 2015 and 2023, in a context of recurring lack of agricultural financing. Design/methodology/approach Based on the Vector Error Correction model applied to a panel of 30 countries, the study highlights short- and long-term relationships between ICTs, the institutional framework and agricultural credit. Findings The results indicate that mobile money and mobile phones have a positive and significant long-term effect by promoting access to the financial sector and information in rural areas. The effect of the Internet was slower, signifying its low connectivity to agricultural services. Political stability as well as the quality of regulation negatively affect agricultural credit in the short and long terms. Low institutional predictability can cause dysfunction in rural financial markets. The article recommends strengthening digital financial inclusion and improving the governance of agricultural financial systems. Originality/value The study complements the extant literature by assessing the effect of information technology on agricultural credit in sub-Saharan Africa.

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https://doi.org/https://doi.org/10.1108/ajems-06-2025-0503

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@article{yapo2026,
  title        = {{Effect of information and communication technologies on agricultural credit in sub-Saharan Africa}},
  author       = {Yapo Fulgence Assi et al.},
  journal      = {African Journal of Economic and Management Studies},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1108/ajems-06-2025-0503},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.