The link between social capital and disaster recovery: evidence from coastal communities in Bangladesh

Published online: 31 May 2018The purpose of this research is to explore the role social capital played in disaster coping and the recovery process among the southwest coastal villages of Bangladesh. Qualitative methods of data collection such as observation, semi-structured interviews and focus group discussions were carried out with individuals from several occupational groups in the two of most affected villages by cyclone Aila. The findings suggest that social capital played an instrumental role in personal, household and community recovery processes in the wake of the cyclone. In particular, the bonding and bridging social capital significantly helped the villagers from the emergency period to long-term recovery, while the benefits of linking social capital were reaped by only few individuals. It also shows that features of prevailing social structure-patronage networks and class hierarchy-paved the way to the misappropriation of the sizable amount of disaster relief and rehabilitation resources by local elites and to the channeling to the less affected households. This led to the erosion of bridging social capital of communities, and the reinforcement of unscrupulous linking social networks. These findings contribute both to the social capital literature as well as to formulating sustainable policy and programs for future disasters.Md. Masud-All-Kamal, S. M. Monirul Hassa

What Drives Household Recovery After Disasters? A Case Study of New York City After 2012 Hurricane Sandy

Community recovery from disasters depends on how its subunits, such as households, fare. But the current knowledge on this topic is fragmented and undervalues a household’s agency for action, which can result in narrowly designed, and sometimes counterproductive, recovery plans and aid policies. In this article, we examine various internal and contextual characteristics of households to answer the question, what factors influence household recovery the most and how? Using logistical regression analysis on random sample survey data collected from households affected by the 2012 Hurricane Sandy in New York City, NY, we discuss the influence of various socioeconomic factors, knowledge and availability of external aid, and neighborhood condition on a household’s perception of their own recovery. We conclude with three lessons on community participation, recovery financing, and community restoration for recovery managers to ensure disaster recovery plans are comprehensive and build local capacity to recover