Exploring the relationship between climate change events and migration decisions
Evidence from a choice experiment in Bangladesh
Datos Bibliográficos
| ID | 22029486 |
|---|---|
| Autores | Ong Quoc Cuong (0000-0001-7034-5635, International Rice Research Institute, autor de correspondencia), Ma Suza (0009-0007-5166-8106, Bioversity International), Adam Savelli (0000-0003-3816-8979, Bioversity International), Katherine M Nelson (0000-0001-9242-246X, International Rice Research Institute) |
| Año | 2024 |
| Volumen | 113 |
| Páginas | 104831 |
| Fecha de publicación | 2024-10-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | International Journal of Disaster Risk Reduction (JOURNAL) |
| Identificadores de la revista | ISSN: 2212-4209 |
| Editorial | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.ijdrr.2024.104831 |
| OpenAlex | W4402660675 |
| Idioma | EN |
| Citas recibidas | 5 |
| Referencias citadas | 53 |
Bangladesh is a low-lying deltaic nation with high vulnerability to climate-related hazards. Hatiya Island is located in Southern Bangladesh, and residents rely significantly on fishing and agriculture for their livelihoods. However, the island's primary production systems face a threat from intense and frequent sudden onset environmental hazards such as river erosion, cyclones, and flooding, as well as slow onset environmental hazards like saline intrusion, tidal inundation, and rising temperatures. Little is known about the effect sudden onset and slow onset hazards have on the migration patterns of Hatiya's residents. The aim of this study is to investigate the relationship between climatic events and the migration decisions of residents on Hatiya Island. To explore this link, we collected empirical data from 337 respondents on Hatiya Island using a choice experiment survey. The five attributes were used to construct migration scenarios, including climate events at Hatiya Island, the distance of migration, the migration type, the social network at the potential destination, and the difference in income between Hatiya Island and the potential destination. The findings from the mixed logit model indicated that climate events at Hatiya, migration distance, and income gap affected residents' migration decisions. Extreme slow onset change and extreme sudden onset change were less likely to induce migration compared to the moderate level of slow and sudden onset change. However, residents were more likely to migrate as the income difference between Hatiya and the prospective destination increased. Residents were willing to migrate at a 9.4 % increase in income for extreme sudden onset change, while residents required a 14.19 % increase in income to migrate in response to extreme slow onset change. As such, policies are needed to support migrants in receiving areas through improved social protection systems, to support migrant-sending households' transformative adaptation in origin areas, and to bolster community-driven adaptation initiatives in Hatiya. The findings from this study can contribute to the existing literature on the relationship between environmental hazards and mobility and inform policymakers on how to design policies that support vulnerable populations. • Residents are less driven to migrate in response to extreme changes in climatic conditions and hazards than moderate ones. • Residents are more likely to migrate toward nearby areas rather than those medium or long distances away. • Residents are more likely to migrate as the income gap between Hatiya Island and potential destination increased. • Residents require higher increases in income to migrate in response to extreme changes in climatic conditions and hazards
Business · Climate change · Economic geography · Economics · Environmental planning · Environmental resource management · Natural resource economics · Climate Change, Adaptation, Migration · Disaster Management and Resilience · Environmental Science · Migration and Labor Dynamics · Geology · Oceanography
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| Obras citantes distintas | 5 |
|---|---|
| Citas por año | 5 |
| Intervalo de citas | 2025 - 2026 (2) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 5 |