Household resilience to climate change vulnerabilities -a case study of Bonaire


Small Islands (SIs) often have a small capacity to resist or recover from the increasing impacts of climate change and, therefore, increasing climate resilience is necessary. However, knowledge and research on climate resilience, especially in the context of (Caribbean) SIs are limited in number and quality, although imperative for increasing it. Additionally, research, while proven beneficial, often overlooks the household-level. Therefore, this study researched household climate resilience (HCR) in Caribbean SI-context –in this case Bonaire. Since the aspects determining HCR depend on geographic context, this contextwas first studied for Bonaire. Through 13 key-informant interviews, complemented by desk research, the main climate vulnerabilities, their impact on Bonaire and its households, and the aspects making Bonairean households resilient for these were identified. These aspects were used as indicators to form a composite score measuring HCR through online household surveys. Hereby, the barriers to HCR and differences in HCR between socio-demographic groups were identified. Results showed an average HCR-score for the sample (N=183) of .455 out of 1 (SD=.11) –indicating HCR is not low, but also not high. The following aspects negatively contributed to HCR: expected damage to homes, amount of savings, insurance covering damage from climate change (vulnerabilities), incomes, dependent income sources, vulnerable neighbourhoods, alternatives to electricity, water, and food, social resilience, community response, government response, awareness of climate change, information and education on climate change impacts, and steps to prepare for this. Furthermore, the following households are less inclined to be climate resilient: bigger households, households with high kid ratios, households with younger household heads, households speaking fewer languages, households not fluently speaking English, and households with a higher level of obtained education.This study knows limitations that possibly impacted these results, like the limited representativeness of the household sample. Although this study adds to the knowledge base of SI-context HCR, additional research is beneficial. Therefore, recommendations forfurther research are provided. The same goes for policy recommendations.



For more information, please contact Nina Zander

Please also see:

DCNA Policy Brief
Raw data set

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