Community Resilience to Climate Change: Theory, Research and Practice

128 association with any of the capacities (Table A1.7). Across all the regressions, the only consistent explanator was not having known about the previous flood; in all cases, thiswas associated with lower reported capacities and the coefficients were strongly statistically significant. Examination of themarginal effects reveals the extent of these gaps (Fig. 4). Interestingly, in all cases, predicted probabilities for respondents who had not experienced a flood or had experienced a flood but did not know about it in advance were very similar (the differences were not statistically significant). Meanwhile respondents who had had advance knowledge of a previous flood were more likely to report preparedness and the capacities to recover and adapt. Fig. 3. Relationships between early warning and resilience-related capacities. Fig. 4. Predicted probability of capacity to prepare, recover, and adapt to an extreme flood event, based on early warning of that event. Marginal effects computed on the basis of the separate ordinal logistic regressions. Other positive (and statistically significant) relationships were found between having a higher education and both preparedness and the capacity to recover; between household size and the capacity to recover; and between wealth quintile and the capacity to adapt (Table A1.7). The effect of age is negatively associated with reporting preparedness until the age of 35 and positive thereafter. None of the covariates variables had an equivalent effect to having known about a previous flood, with the sole exception of being in the top wealth quintile on the perceived capacity to adapt.