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There is a need for households in flood-prone areas to strengthen their adaptive capacities to cope with the negative impacts of climate change. The main objective of this paper is to measure adaptive capacity to cope with the effects of flooding of households in lakeshore communities of Pila, Laguna, Philippines, a municipality with high vulnerability to climate change. The adaptive capacity index (ACI) was estimated by adapting the objective and subjective approaches to adaptive capacity measurements and using both equal and unequal weighting approaches to index estimation with household-level data. The researchers also looked at the levels of adaptive capacity by income group and presented policy recommendations.

Overall, the findings of this research suggest that there is a need to prioritize households with low adaptive capacities and be given necessary local government support. Results also suggest the use of appropriate weights for estimating the adaptive capacity index. There were statistically significant differences between the ACIs of households using equal and unequal weighting approaches. The researchers recommend conducting further studies for other flood-prone areas need to be conducted to validate and examine the variables used in this study. Additionally, further studies are recommended with the use of three approaches to using weights for the variables and determine how results would vary across groups.