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Climate-related natural disasters and forced migration: a spatial regression analysis

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  • Caterina Conigliani
  • Valeria Costantini
  • Giulia Finardi

Abstract

We investigate the role of spatial effects in the analysis of the relationship between climate-related disasters and forced migration. As a case study we select South and Southeast Asia due to the area’s large exposure to these hazards. The spatial regressions show that short- to medium-distance forced migrations are considerably affected by climate-related disasters, independently of the economic expectation associated with the destination. Moreover, we find that this relationship is disaster-type specific. Finally, we detect a competition among migrants, as the decision to move as an adaptation strategy is found to be dependent on the migratory behaviour of neighbouring countries.

Suggested Citation

  • Caterina Conigliani & Valeria Costantini & Giulia Finardi, 2022. "Climate-related natural disasters and forced migration: a spatial regression analysis," Spatial Economic Analysis, Taylor & Francis Journals, vol. 17(3), pages 416-439, July.
    • Handle: RePEc:taf:specan:v:17:y:2022:i:3:p:416-439
    DOI: 10.1080/17421772.2021.1995620
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