Vulnerability of Nigerian maize traders to a confluence of climate, violence, disease and cost shocks

Purpose We study five exogenous shocks: climate, violence, price hikes, spoilage and the COVID-19 lockdown. We analyze the association between these shocks and trader characteristics, reflecting trader vulnerability. Design/methodology/approach Using primary survey data on 1,100 Nigerian maize trad...

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Bibliographic Details
Main Authors: Vargas, Carolina M., Liverpool-Tasie, Lenis Saweda O., Reardon, Thomas
Format: Journal Article
Language:Inglés
Published: Emerald Publishing Limited 2025
Subjects:
Online Access:https://hdl.handle.net/10568/141616
Description
Summary:Purpose We study five exogenous shocks: climate, violence, price hikes, spoilage and the COVID-19 lockdown. We analyze the association between these shocks and trader characteristics, reflecting trader vulnerability. Design/methodology/approach Using primary survey data on 1,100 Nigerian maize traders for 2021 (controlling for shocks in 2017), we use probit models to estimate the probabilities of experiencing climate, violence, disease and cost shocks associated with trader characteristics (gender, size and region) and to estimate the probability of vulnerability (experiencing severe impacts). Findings Traders are prone to experiencing more than one shock, which increases the intensity of the shocks. Price shocks are often accompanied by violence, climate and COVID-19 shocks. The poorer northern region is disproportionately affected by shocks. Northern traders experience more price shocks while Southern traders are more affected by violence shocks given their dependence on long supply chains from the north for their maize. Female traders are more likely to experience violent events than men who tend to be more exposed to climate shocks. Research limitations/implications The data only permit analysis of the general degree of impact of a shock rather than quantifying lost income. Originality/value This paper is the first to analyze the incidence of multiple shocks on grain traders and the unequal distribution of negative impacts. It is the first such in Africa based on a large sample of grain traders from a primary survey.