Using high-frequency demographic surveillance data, a discrete time event history approach, and a range of sociodemographic and contextual controls, the study measures the extent to which temperature, precipitation, and flooding can predict temporary migration.
Citation:
Call, M. A., C. Gray, M. Yunus and M. Emch. 2017. Disruption, not displacement: Environmental variability and temporary migration in Bangladesh. Global Environmental Change 46(Supplement C): 157-165.
Publication type:
Articles
Journal Article
Publication year:
2017
Biome/Habitat:
Population:
Scale:
Nat. Res. and Env. Stressors:
Methodology:
Major Region:
Country:
Language: