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

<p>Note: ^#Includes both ‘moneylenders’ and ‘mortgage etc.’ as coping strategies.</p><p>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 <i>Aila</i> 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 <i>pre-shock</i> 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.</p><p>Effect of climate shock intensity on use of different coping strategies, Sundarbans, West Bengal, India.