Empirical investigation of the agriculture–malnutrition nexus in Africa: Spatial clustering and spillover effects

Abstract Many studies have been conducted to examine the direct effect of agriculture on the prevalence of malnutrition; however, there is little solid evidence on spatial spillover effects and much less on the heterogeneous effects stemming from spatial differences in nutritional conditions. We make up this gap by using a dynamic spatial Durbin model to characterize the impact of agricultural productivity on malnutrition in Africa. Our results show that countries in Eastern Africa are more likely to suffer from severe malnutrition than other regions. We find evidence for convergence in agricultural productivity across countries with moderate and high prevalence of malnutrition as disparities in their agricultural productivity narrow down over the sample period. It appears that the negative effect of agriculture on malnutrition is more evident in countries where the prevalence of malnutrition is lower. This implies that agricultural development does not play a substantial role in reducing malnutrition in the worst affected areas. We also report that poor agricultural development can deteriorate the nutritional status among neighboring countries in the short term, consistent with the spatial‐locking effect of agriculture.