尼日利亚玉米贸易商易受气候、暴力、疾病和成本冲击影响的脆弱性

Carolina M. Vargas, L. Liverpool‐Tasie, Thomas Reardon
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引用次数: 0

摘要

目的我们研究了五种外来冲击:气候、暴力、价格上涨、变质和 COVID-19 封锁。我们分析了这些冲击与贸易商特征之间的关联,反映了贸易商的脆弱性。设计/方法/途径利用 2021 年 1100 名尼日利亚玉米贸易商的原始调查数据(控制了 2017 年的冲击),我们使用概率模型估算了与贸易商特征(性别、规模和地区)相关的经历气候、暴力、疾病和成本冲击的概率,并估算了脆弱性(经历严重冲击)的概率。研究结果贸易商容易经历不止一次冲击,这增加了冲击的强度。价格冲击往往伴随着暴力、气候和 COVID-19 冲击。北部贫困地区受冲击的影响尤为严重。北部贸易商受到的价格冲击更大,而南部贸易商则更多地受到暴力冲击的影响,因为他们的玉米依赖于来自北部的漫长供应链。女性贸易商比男性贸易商更容易受到暴力事件的影响,而男性贸易商往往更容易受到气候冲击的影响。研究局限性/意义本文首次分析了多种冲击对粮食贸易商的影响以及负面影响的不平等分布。这也是非洲第一份基于初级调查的大样本谷物贸易商的报告。
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Vulnerability of Nigerian maize traders to a confluence of climate, violence, disease and cost shocks
PurposeWe 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/approachUsing 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).FindingsTraders 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/implicationsThe data only permit analysis of the general degree of impact of a shock rather than quantifying lost income.Originality/valueThis 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.
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