Journal
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
Volume 8, Issue -, Pages 32-49Publisher
ELSEVIER
DOI: 10.1016/j.ijdrr.2013.12.009
Keywords
Vulnerability; Index; Climate change; Domain; Coastal area; Contributing indicator; Bangladesh
Funding
- Wageningen University Executive Committee
- Netherlands under the Wageningen University Fellowship
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We develop a Socioeconomic Vulnerability Index (SeVI) for climate change affected communities in seven unions l of Koyra upazilla2 in south-western coastal Bangladesh. We survey GO households from each union to collect data on various vulnerability domains and socioeconomic indicators. The SeVI aggregate these collected data using a composite indicator index, where a relative weight is assigned to each indicator with a view of obtaining weighted average index scores for different vulnerability domains in different unions. Results suggest that southern and south-eastern unions are relatively more vulnerable, which are the most exposed to natural hazards and mostly surrounded by the mangrove forest Sundarbans. Furthermore, social, economic and disaster frequency are found as more influential indicators to adaptive capacity, sensitivity and exposure respectively in Koyru. This pragmatic approach is useful to figure out and monitor socioeconomic vulnerability and/or assess potential adaptation-policy effectiveness in data scarce regions by incorporating scenarios into the SeVI for baseline comparison. (C) 2013 Elsevier Ltd. All rights reserved,
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