COVID-19 pandemic, household welfare and diversification strategies of smallholder farmers in Uganda

Agricultural activities in many sub-Saharan African (SSA) countries are subject to various risk factors that the COVID-19 compounds. Earlier studies on the effect of COVID-19 on smallholders neglect the issue of comparison with non-farm households. The study uses micro-level household datasets to explore the impact of the COVID-19 pandemic on household welfare, with a focus on farm households relative to their non-farm counterparts. We employed a binary probit model and Propensity Score Matching (PSM) approach and demonstrated that farm households witnessed important income reductions during the COVID-19 pandemic in Uganda. The study contributes to the design of evidence-based approaches to reducing farmers’ vulnerabilities to agricultural risks and pandemic-related shocks.

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Publication Details

Journal
Discover Sustainability
Published
2024-09-27
DOI
https://doi.org/10.1007/s43621-024-00507-9
Citations
1
Primary Topic
Agricultural Innovations and Practices
Type
article
Field-Weighted Citation Impact
1.34

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article

COVID-19 pandemic, household welfare and diversification strategies of smallholder farmers in Uganda

Alhassan Abdul‐Wakeel Karakara, Evans S. C. Osabuohien, Abdul Malik Iddrisu
1 citations
Discover Sustainability
Agricultural Innovations and Practices
1.34
article

COVID-19 pandemic, household welfare and diversification strategies of smallholder farmers in Uganda

Alhassan Abdul‐Wakeel Karakara, Evans S. C. Osabuohien, Abdul Malik Iddrisu
article en
1 citations

Abstract

Agricultural activities in many sub-Saharan African (SSA) countries are subject to various risk factors that the COVID-19 compounds. Earlier studies on the effect of COVID-19 on smallholders neglect the issue of comparison with non-farm households. The study uses micro-level household datasets to explore the impact of the COVID-19 pandemic on household welfare, with a focus on farm households relative to their non-farm counterparts. We employed a binary probit model and Propensity Score Matching (PSM) approach and demonstrated that farm households witnessed important income reductions during the COVID-19 pandemic in Uganda. The study contributes to the design of evidence-based approaches to reducing farmers’ vulnerabilities to agricultural risks and pandemic-related shocks.

Discover SustainabilityVol. 5(1)
University of Cape Coast (GH), Institute for Fiscal Studies (GB), Covenant University (NG), Development Research and Projects Centre (NG)
United Nations University World Institute for Development Economics Research
Zero hunger
Openalex Percentile: Top 14%
Agricultural Innovations and Practices
1.34
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