Determinants of Household Adaptation to Climate Vulnerability in Wetland Areas of Bangladesh: An Empirical Estimation

ABSTRACT This study examines the vulnerability of farming households to climate change and the determinants of their adaptation decisions in the wetland areas of Bangladesh. Primary data from 120 households were analysed using descriptive statistics, the livelihood vulnerability index (LVI), the LVI based on the Intergovernmental Panel on Climate Change (LVI‐IPCC) framework and a Binary Logistic regression model. The overall LVI score (0.53) and the LVI‐IPCC score (0.18) indicate moderate vulnerability, driven mainly by livelihood dependence on natural resources, climate variability and health‐related challenges. The Binary Logistic regression results show that family size, access to alternative income sources, perceptions of climate change and access to loans significantly influence households’ adaptation behaviour. The findings underscore the need for policies that strengthen education and skills, expand financial access and promote climate‐resilient livelihoods and infrastructure to enhance the adaptive capacity of wetland farming communities in Bangladesh.

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Publication Details

Journal
Climate Resilience and Sustainability
Published
2026-01-06
DOI
https://doi.org/10.1002/cli2.70028
Primary Topic
Climate change impacts on agriculture
Type
article
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article

Determinants of Household Adaptation to Climate Vulnerability in Wetland Areas of Bangladesh: An Empirical Estimation

Shah Alamgir, Arifa Jannat, Jasim Uddin Ahmed, Farhana Yasmin Bithi et al.
Climate Resilience and Sustainability
Climate change impacts on agriculture
article

Determinants of Household Adaptation to Climate Vulnerability in Wetland Areas of Bangladesh: An Empirical Estimation

Shah Alamgir, Arifa Jannat, Jasim Uddin Ahmed, Farhana Yasmin Bithi, Fahmida Akthar Roni, Md. Monirul Islam, S. M. Shahriar
article en

Abstract

ABSTRACT This study examines the vulnerability of farming households to climate change and the determinants of their adaptation decisions in the wetland areas of Bangladesh. Primary data from 120 households were analysed using descriptive statistics, the livelihood vulnerability index (LVI), the LVI based on the Intergovernmental Panel on Climate Change (LVI‐IPCC) framework and a Binary Logistic regression model. The overall LVI score (0.53) and the LVI‐IPCC score (0.18) indicate moderate vulnerability, driven mainly by livelihood dependence on natural resources, climate variability and health‐related challenges. The Binary Logistic regression results show that family size, access to alternative income sources, perceptions of climate change and access to loans significantly influence households’ adaptation behaviour. The findings underscore the need for policies that strengthen education and skills, expand financial access and promote climate‐resilient livelihoods and infrastructure to enhance the adaptive capacity of wetland farming communities in Bangladesh.

Climate Resilience and SustainabilityVol. 5(1)
Sylhet Agricultural University (BD), Bangladesh Agricultural University (BD), Agriculture and Food (AU), Animal, Food and Health Sciences (AU)
Climate action
Openalex Percentile: Top 96%
Climate change impacts on agriculture
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