| Popis: |
In this thesis, I conduct a global event-data study investigating the relationship between exposure to natural hazards and climate change adaptation. Exposure to natural hazards has previously been linked to actions aimed at reducing risks related to future natural hazards. With climate change, and predicted increase in hazard frequency and intensity, a feasible approach to risk mitigation is climate change adaptation, which can thus be considered a disaster risk reduction strategy. I investigate the effects of disaster frequency and severity on the amount of climate change adaptation actions taken on a subnational level of government, using disaster data from the International Disaster Database (EM-DAT) and data on adaptation actions from CDP. Disaster severity is operationalised in three separate ways to distinguish between different kinds of disaster impacts: in terms of (1) economic damage, (2) how many are affected, and (3) fatalities. I hypothesise that all independent variables are positively related to climate change adaptation, and test the hypotheses using OLS regression. The result depicts a positive correlation between the number of disasters experienced and adaptation actions. I do not see a positive relationship between climate change adaptation actions and the two impact variables total affected and total fatalities. The relationship between economic damages and adaptation actions indicates that economic damages could have different impacts depending on the level of economic development in a country. This study contributes to the integration of the two research fields climate change adaptation and disaster risk reduction by studying climate change adaptation as a form of disaster risk reduction, and deepening the knowledge of what can drive adaptation. Finally, this study contributes by showing that the level of economic development could be an important aspect of the exposure-adaptation relationship. |
