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Li, Qirui ; Samimi, Cyrus:
Assessing Human Mobility and Its Climatic and Socioeconomic Factors for Sustainable Development in Sub-Saharan Africa.
In: Sustainability.
Bd. 15
(2023)
Heft 15
.
- 11661.
ISSN 2071-1050
DOI: https://doi.org/10.3390/su151511661
Angaben zu Projekten
| Projekttitel: |
Offizieller Projekttitel Projekt-ID Exzellenzcluster Africa Multiple, EXC 2052/1 - 390713894 491183248 |
|---|---|
| Projektfinanzierung: |
Deutsche Forschungsgemeinschaft |
Abstract
Promoting human mobility and reducing inequality among countries are the Sustainable Development Goals’ (SDGs) targets. However, measuring human mobility, assessing its heterogeneity and changes, and exploring associated mechanisms and context effects are still key challenges, especially for developing countries. This study attempts to review the concept of human mobility with complex thinking, assess human mobility across forty countries in Sub-Saharan Africa (SSA), and examine the effect of climatic and socioeconomic factors. Based on the coined definition of human mobility, international migration and cross-border trips are taken to assess human mobility in terms of permanent migration and temporary moves. The forty SSA countries are hence classified into four mobility groups. Regression models are performed to identify key determinants and estimate their effects on mobility. The results reveal that seven of these forty countries had a high mobility, whereas most experienced a decline in permanent migration. Lesotho, Cabo Verde, and Namibia presented high temporary moves, while Eritrea, Rwanda, Equatorial Guinea, and Liberia had a high permanent migration. Climatic and socioeconomic conditions demonstrated significant effects on mobility but were different for temporary moves and permanent migration. Wet extremes reduced mobility, whereas extreme temperature variations had positive effects. Dry extremes promoted permanent migration but inhibited temporary moves. Economic wealth and political instability promoted permanent migration, while the young population counteracted temporary moves. Food insecurity and migrant networks stimulated human mobility. The analysis emphasises the interest in analysing human mobility for risk reduction and sustainability management at the multi-county level.