Climate Change and Environmentally Induced Migration Across Regions: Cooperative and Non-cooperative Solutions

Petracou, Electra; Xepapadeas, Anastasios; Yannacopoulos, A. N.

doi:10.1007/s41412-017-0038-3

Cited by 4 publications

(1 citation statement)

References 26 publications

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“…Also, political leaders and local chairmen carry out selective development works in their areas and left other areas without improvement like the construction of roads, embankment, etc. Besides political issues, social status and unemployment facilitated the migration from coastal areas to other developed cities, where Black et al (2011), Islam and Hasan (2016), Petracou et al (2017), andWarner et al (2010) summarized that political and social issues have been acting as indirect drivers behind climate change-induced migration.…”

Section: Discussionmentioning

confidence: 99%

Perception of people on climate-induced migration issues in coastal areas of Bangladesh

Hasnat

Chowdhury

Abdullah-Al-Mamun

2022

Migration and Development

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Climate change impact is one of the major burning issues all over the world where Bangladesh is one of the most affected areas. The aim of this study was to understand the climate-induced migrationrelated issues in the coastal areas of Chittagong. A total of 120 individual surveys and six key informant interviews were done in six unions of Banshkhali Upazila in Chittagong district. The result showed that agriculture and fishing practices are reducing compared to the past and people are more interested in migrating abroad. Among the six villages, the highest percentage of migration was found to be from the areas closer to the coast compared to others. Despite less awareness on climate change terms, most of the respondents have positively replied to the changes in the frequencies of climatic hazards. Several forms of driver, e.g. environmental, social and political are also discussed. The linear regression showed that the factors which positively influence the peoples' decision to migrate are average family age and social status. The dependency on agriculture, business near coast and fishing has a coefficient of −0.18, −0.36 and −0.24, respectively. Identification of community-based needs is important to ensure safe migration as an adaptation against climate change.

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