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Measuring Household Resilience to Cyclone Disasters in Coastal Bangladesh

Authors :
J. Craig Jenkins
Boris Braun
Abdullah Al-Maruf
Amelie Bernzen
Source :
Climate, Vol 9, Iss 97, p 97 (2021), Climate, Volume 9, Issue 6
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

The main objective of this paper is to measure the level of household resilience to cyclone and storm surges in the coastal area of Bangladesh. We draw on four general disaster frameworks in terms of addressing household-level resilience to cyclones and storm surges. We use a composite indicator approach organized around four components: (1) household infrastructure (HI)<br />(2) household economic capacity (HEC)<br />(3) household self-organization and learning (HSoL), and<br />(4) social safety nets (SSN). Drawing on a household survey (N = 1188) in nine coastal union parishads in coastal Bangladesh purposively selected as among the most vulnerable places in the world, we use principal components analysis applied to a standardized form of the survey data that identifies key household resilience features. These household index scores can be used for the assessment and monitoring of household capacities, training, and other efforts to improve household cyclone resilience. Our innovative methodological approach allows us to (a) identify patterns and reveal the underlying factors that accurately describe the variation in the data<br />(b) reduce a large number of variables to a much smaller number of core dimensions of household resilience, and (c) to detect spatial variations in resilience among communities. Aggregated to the community level, our new index reveals significant differences in community cyclone resilience in different areas of the coastal region. In this way, we can show that shoreline and island communities, in particular, have significant deficits in terms of household resilience, which seem to be mutually reinforcing one another and making for lower resilience.

Details

Language :
English
ISSN :
22251154
Volume :
9
Issue :
97
Database :
OpenAIRE
Journal :
Climate
Accession number :
edsair.doi.dedup.....2741dbd20174eb10fa2baf5bf8cb65c9