This thesis aims to uncover key factors shaping patterns of forced human mobility within and across borders. A panel dataset was constructed covering 161 countries during 2009 - 2021. The dataset includes country-level statistics on internally displaced persons and cross-border refugees, as well as indicators capturing economic, sociopolitical, and climate/environmental conditions in each country. Leveraging this multidimensional dataset, a gravity-type migration model was estimated to infer how different factors may operate in tandem in driving internal displacements and refugee migration. For internal displacements, conflict, age-dependency ratio, arid environment, and economic conditions play key roles. For cross-border refugee migration, political instability is a primary driver, followed by climate vulnerability, lower urbanization, and socioeconomic factors. The findings imply the mechanisms underlying human mobility can be complex, differing depending on whether the movement is within or across borders. Such difference underscores the need for comprehensive modeling approaches that can recognize refugee migration as a multi-stage process from initial displacement to onward migration and identify distinctive drivers at each stage of mobility.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mau-69381 |
| Date | January 2024 |
| Creators | Han, Jiyoung |
| Publisher | Malmö universitet, Institutionen för globala politiska studier (GPS) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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