Examining the link between marginality and differential climate resilience among disaster-affected communities in southwestern Bangladesh

Abstract

ABSTRACT This article uses a case study of one of Bangladesh’s most disaster-prone subdistricts to examine the role of marginality in determining differential climate resilience. It used a quantitative research design and a household questionnaire survey to acquire data. In order to determine the contributing factors and quantify the magnitude of the influence, ordinal logistic regression is utilized in conjunction with principal component analysis (PCA). The AHP-based indexing approach was used to quantify the degree of resilience and marginality. Results revealed a complex link between marginality and resilience in disaster-affected areas of Southwest Bangladesh. They exhibit four distinct connections, which is impressive because it demonstrates how resilient marginalized households can be and how the opposite is true. It also identifies a lack of access to the formal institutional network and support, restricted access to social support networks, exclusion from housing and public services, restricted freedom of choice networks, and lack of access to financial assets) that have a significant impact on differential resilience. Local governments or policymakers can implement several recommendations by emphasizing the factors that affect various levels of resilience, such as boosting institutional and monetary support, fortifying social networks, improving essential services, and creating livelihood opportunities.