Climate Immobility Traps
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Washington, DC: World Bank
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The complex relationship between
climate shocks, migration, and adaptation hampers a rigorous
understanding of the heterogeneous mobility outcomes of farm
households exposed to climate risk. To unpack this
heterogeneity, the analysis combines longitudinal
multi-topic household survey data from Nigeria with a causal
machine learning approach, tailored to a conceptual
framework bridging economic migration theory and the poverty
traps literature. The results show that pre-shock asset
levels, in situ adaptive capacity, and cumulative shock
exposure drive not just the magnitude but also the sign of
the impact of agriculture-relevant weather anomalies on the
mobility outcomes of farming households. While local
adaptation acts as a substitute for migration, the roles
played by wealth constraints and repeated shock exposure
suggest the presence of climate-induced immobility traps.
Palabras clave
CLIMATE MIGRATION, IMMOBILITY TRAPS, ADAPTATION, CAUSAL FORESTS, HOUSEHOLD DATA
