Who is more ready to get back in shape?
This research provides insights for policymakers and development organizations on identifying and supporting communities with lower resilience to natural disasters, specifically in the context of microfinance customers in Cambodia.
This study estimated resilience around the 2013 Cambodian flood using 1.2 million microfinance customer data. The results indicate that understanding MFI customer characteristics and individual choices can help develop resilience by identifying areas with varying levels of adaptiveness.
This empirical study estimates resilience (adaptive capacity) around the periods of the 2013 heavy flood in Cambodia. We use nearly 1.2 million microfinance institution (MFI) customer data and implement the unsupervised learning method. Our results highlight the opportunity to develop resilience by having a better understanding of which areas are likely to be more or less resilient based on the characteristics of the MFI customers, and the individual choices or situations that support stronger adaptiveness. We also discuss the limitation of this approach.