journal article

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

by Carolina M. Vargas,
Lenis Saweda O. Liverpool-Tasie and
Thomas Reardon
Open Access | CC-BY-4.0
Citation
Vargas, Carolina M.; Liverpool-Tasie, Lenis Saweda O.; and Reardon, Thomas. 2024. Vulnerability of Nigerian maize traders to a confluence of climate, violence, disease and cost shocks. Journal of Agribusiness in Developing and Emerging Economies. Article in press. First published online April 22, 2024. https://doi.org/10.1108/JADEE-08-2023-0214

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.