Fig 1.
Modeling procedure and data sets (darker colours) used to derive inputs (brighter colours) for the hazard (blue), exposure (red) and vulnerability (orange) used by the method for the computation of the direct (green) and indirect (purple) economic impacts.
Table 1.
Economic sectors and sector groups, net fixed assets (buildings and equipment) in millions of Euros and the size in thousands of employees for different economic sectors throughout all of Germany.
Different damage models are applied to the four sector groups.
Table 2.
Percentages of companies in different size classes and economic sectors in the eight federal states.
Table 3.
Input variables used by the Random Forests for the estimation of the direct economic impacts and the distributions used to simulate these variables as well as data sources.
Table 4.
Schematic Input-Output table with Z denoting the intermediate flow matrix, the final demand f, the capital stock K, labour L and imports m.
Fig 2.
Distributions of estimated direct economic impact for k affected companies in the respective federal states.
The grey dashed lines indicate the range of the assumed direct economic impact from reports of the respective federal states [44]. The different greens indicate the 50% and 90% intervals.
Fig 3.
Distributions of estimated direct economic impacts per economic sector.
The black lines indicate the 50% and 90% intervals.
Fig 4.
Distributions of estimated indirect economic impacts per economic sector.
The black lines indicate the 50% and 90% intervals.
Fig 5.
Distributions of the ratio between indirect and direct estimated economic impacts per economic sector.
The black lines indicate the 50% and 90% intervals.
Fig 6.
Distributions of estimated direct economic impacts (green), estimated indirect economic impacts (purple) and the ratio (pink) of both for Germany.
The different shades of the colours indicate the 50% and 90% intervals.