Earth Syst Sci Data 9(2):927953, Klomp JG, Valckx K (2014) Natural disasters and economic growth: a meta-analysis. The different colors represent different average coefficients, ranging from 0 (light purple) to 0.24 (dark purple). How did the Tropical Cyclone Florence impact the people communities? It is possible that the economy exhibits positive growth rates after a first negative growth shock. It comprises the logged per capita value added of the respective sector j to simulate a dynamic panel model, the population growth rate, a variable for openness (i.e., imports plus exports divided by GDP), and the growth rate of gross capital formation.Footnote 18 Including these socioeconomic control variables introduce some threats to causal inference. A one standard deviation strong event has a probability of 8.9% among events above zero for agricultural damage and 8% for population damage.Footnote 16, Heatmap of InputOutput coefficient averages, 19902015. The wind speed drops with distance to the center of the hurricane and as soon as it makes landfall. A damage function that takes into account only the exposed population would underestimate the damage caused to the agricultural sector, given the large unpopulated but agriculturally used areas in the north and west of Australia. Additionally, the GTAP database is not freely available and only covers a few years. The damaging winds are responsible for serious destruction of buildings and vegetation. Tropical cyclones are compact, circular storms, generally some 320 km (200 miles) in diameter, whose winds swirl around a central region of low atmospheric pressure. In detail, this model can be described by the following set of regression equations: where all variables are defined as in Eq. In: Bobrowsky PT (ed) Encyclopedia of natural hazards. Econ Disasters Clim Change 4(3):657698, Mohan P (2017) Impact of hurricanes on agriculture: Evidence from the Caribbean. An exception forms the mean damage robustness test for the wholesale, retail trade, restaurants, and hotels sectors, where the coefficient turns slightly insignificant (\(p=0.12\)). Ecol Econ 85:105115, Schreck CJ, Knapp KR, Kossin JP (2014) The impact of best track discrepancies on global tropical cyclone climatologies using IBTrACS. How did the tropical cyclone Florence impact the following ? \end{array}\right. } [2] Between 1979 and 2017, there was a global increase in the proportion of tropical cyclones of Category 3 and higher on the Saffir-Simpson scale. I also checked for different lag lengths, but could hardly find any effect above a lag length of five years. 1 but only for values above 92 km/h. About 12 hours before Hurricane Florence makes an appearance, both of Duke Energy's North Carolina plants will shut down. Tropical cyclones are large, cyclonically rotating wind systems that form over tropical or sub-tropical oceans and are mostly concentrated on months in summer or early autumn in both hemispheres (Korty 2013 ). Last week, the East Coast prepared for Hurricane Florence, which roared through the Carolinas and Georgia. Some areas experience record rainfall with widespread flooding and predictions for it to get worse. The winds are driven by this low-pressure core and by the rotation of Earth, which deflects the path of the wind through a phenomenon known as the Coriolis force.
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