Effect of climate shock intensity on use of different coping strategies, Sundarbans, West Bengal, India.

Note: #Includes both ‘moneylenders’ and ‘mortgage etc.’ as coping strategies.
Second column values are odds ratios from logit regressions on the predictor variable denoting whether the household had suffered relatively greater impact from Aila. The indicator variable is based on a self-rating question on impact of Aila on eight categories of household assets and means of livelihood with a household reporting ‘devastating’ for more than half the categories classified as of suffering a greater impact – termed as ‘high impact’ households. The logit model additionally controls for pre-shock vulnerabilities (see text) and village-level fixed effects. The t-statistic tests for the hypothesis that the variable is not different from zero. * p<0.1, ** p<0.05.
Effect of climate shock intensity on use of different coping strategies, Sundarbans, West Bengal, India.