Abstract:
Subsistence farmers in Sahelian Africa are highly exposed to the environmental challenges
associated with climate change. Temporary or Permanent emigration can offer to an individual or
household the opportunity to cop against these special effects. One of the most important
challenges to quantifying the impact of climate change on emigration in Mali is the lack of accurate
temporal and spatial data. Emigration data must be adequately detailed to take in both long
distances and short distances. The objective of this research was to identify the socioeconomic
characteristics of migrants based on the push factors. For instance, to identify the characteristics of
people who migrant due to bad weather or environmental challenges. From the result, the factors
that significantly influenced migration were sex, age, and age squared, household size, labour
constraint, and location. Multinomial logistic regression was used to analyze the subject.
