期刊
AMBIO
卷 51, 期 1, 页码 114-134出版社
SPRINGER
DOI: 10.1007/s13280-021-01552-8
关键词
Climate; Coastal hazards; Non-migration; Protection Motivation Theory (PMT); Risk perceptions; Social network
资金
- Technische Universitat Dresden, Germany [F-003661-553-u1G-1212042]
- National Science Foundation [SEES Fellows-1415431, CNH-L-1716909]
The study explores the factors influencing non-migration decisions in risk communities in coastal Bangladesh, finding that land ownership, social connectedness, and household economic strength are the strongest predictors of non-migration decisions. This is the first study to use the Protection Motivation Theory (PMT) to understand migration-related behavior, with relevant findings for policy planning in vulnerable regions exposed to climate-related risks.
Non-migration is an adaptive strategy that has received little attention in environmental migration studies. We explore the leveraging factors of non-migration decisions of communities at risk in coastal Bangladesh, where exposure to both rapid- and slow-onset natural disasters is high. We apply the Protection Motivation Theory (PMT) to empirical data and assess how threat perception and coping appraisal influences migration decisions in farming communities suffering from salinization of cropland. This study consists of data collected through quantitative household surveys (n = 200) and semi-structured interviews from four villages in southwest coastal Bangladesh. Results indicate that most respondents are unwilling to migrate, despite better economic conditions and reduced environmental risk in other locations. Land ownership, social connectedness, and household economic strength are the strongest predictors of non-migration decisions. This study is the first to use the PMT to understand migration-related behaviour and the findings are relevant for policy planning in vulnerable regions where exposure to climate-related risks is high but populations are choosing to remain in place.
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