Measuring Household Resilience to Cyclone Disasters in Coastal Bangladesh
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 app...
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MDPI AG
2021-06-01
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Online Access: | https://www.mdpi.com/2225-1154/9/6/97 |
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author | Abdullah Al-Maruf J. Craig Jenkins Amelie Bernzen Boris Braun |
author_facet | Abdullah Al-Maruf J. Craig Jenkins Amelie Bernzen Boris Braun |
author_sort | Abdullah Al-Maruf |
collection | DOAJ |
description | 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); (2) household economic capacity (HEC); (3) household self-organization and learning (HSoL), and; (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; (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. |
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id | doaj.art-e9fb749091654321bddc4be1d84701c4 |
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issn | 2225-1154 |
language | English |
last_indexed | 2024-03-10T10:21:57Z |
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spelling | doaj.art-e9fb749091654321bddc4be1d84701c42023-11-22T00:22:08ZengMDPI AGClimate2225-11542021-06-01969710.3390/cli9060097Measuring Household Resilience to Cyclone Disasters in Coastal BangladeshAbdullah Al-Maruf0J. Craig Jenkins1Amelie Bernzen2Boris Braun3Department of Geography and Environmental Studies, University of Rajshahi, Rajshahi 6205, BangladeshDepartment of Sociology, The Ohio State University, 238 Townshend Hall, 1885 Neil Ave. Mall, Columbus, OH 43210, USAFaculty II—Geography, Institute for Spatial Analysis and Planning in Areas of Intensive Agriculture (ISPA), University of Vechta, Driverstraße 22, 49377 Vechta, GermanyGlobal South Study Center and Institute of Geography, University of Cologne, Albertus Magnus Platz, 50923 Cologne, GermanyThe 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); (2) household economic capacity (HEC); (3) household self-organization and learning (HSoL), and; (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; (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.https://www.mdpi.com/2225-1154/9/6/97disaster risk reductionvulnerability to environmental hazardsrural livelihoodssocial science surveyprincipal component analysiscomposite index |
spellingShingle | Abdullah Al-Maruf J. Craig Jenkins Amelie Bernzen Boris Braun Measuring Household Resilience to Cyclone Disasters in Coastal Bangladesh Climate disaster risk reduction vulnerability to environmental hazards rural livelihoods social science survey principal component analysis composite index |
title | Measuring Household Resilience to Cyclone Disasters in Coastal Bangladesh |
title_full | Measuring Household Resilience to Cyclone Disasters in Coastal Bangladesh |
title_fullStr | Measuring Household Resilience to Cyclone Disasters in Coastal Bangladesh |
title_full_unstemmed | Measuring Household Resilience to Cyclone Disasters in Coastal Bangladesh |
title_short | Measuring Household Resilience to Cyclone Disasters in Coastal Bangladesh |
title_sort | measuring household resilience to cyclone disasters in coastal bangladesh |
topic | disaster risk reduction vulnerability to environmental hazards rural livelihoods social science survey principal component analysis composite index |
url | https://www.mdpi.com/2225-1154/9/6/97 |
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