Adaptation, spatial effects, and targeting: Evidence from Africa and Asia

Abstract

The ability of farmers to adapt to changing rural environments in developing countries is an important determinant of welfare. But the adaptive capacity of farmers may be constrained because economic resources, information, and institutions are often weak or missing. Farmers living close to one another face similar environmental and economic conditions, but may have different levels of adaptive capacity. These spatially connected farmers (or neighbors) can potentially ease economic constraints and facilitate adaptation by acting as conduits of information and resources. This paper estimates spatial effects on adaptation: how neighbors’ adaptations influence farmers’ adaptation decisions. Our data contains information from more than two thousand households located across 12 countries in Africa and Asia. We find that neighbors significantly influence adaptation decisions, and that spatial interactions amplify the marginal effects of adaptive capacity elements by 50 percent. We also propose a targeting approach that decomposes the total spatial effect into effects coming from different subsets of households that are selected according to their spatial centrality. We find that targeting the two households with highest eigenvector centrality in each village is enough to generate a statistically significant spatial multiplier effect.