The start of the arrow shows the input, and the end denotes the respective output. 2019). J Econ Lit 52(3):740798, Dupor B (1999) Aggregation and irrelevance in multi-sector models. 2008; Mendelsohn etal. \end{array}\right. } See the CLIMADA manual for furher details on the methods used https://github.com/davidnbresch/climada/blob/master/docs/climada_manual.pdf. 4, I introduce a lagged dependent variable, since I suspect a strong path dependence of the InputOutput coefficient, i.e., most sectors plan their inputs at least one period ahead. Since the commonly used report-based EM-DAT data set (Lazzaroni and van Bergeijk 2014) has been criticized for measurement errors (Kousky 2014), endogeneity, and reverse causality problems (Felbermayr and Grschl 2014), I use meteorological data on wind speeds to generate a proxy for the destructive power of tropical cyclones.Footnote 3 This approach is in line with previous empirical studies (e.g., Hsiang 2010; Strobl 2011, 2012), but I advance this literature by generating a sector-specific damage function. Environ Resource Econ 78, 545569 (2021). The cross-sectoral dependence is most pronounced for the manufacturing (D) and other activities (JP)sectoral aggregates. Open Access funding enabled and organized by Projekt DEAL. This behavior most likely speaks for an enduring risk adjustment of tourists. In the years following the tropical cyclone, the efforts should be broadened to support the mining, and utilities, and the transport, storage, and communication sectors. 2014). I decide to only examine changes in the InputOutput coefficients and not at indirect costs because it almost needs no assumptions. Across the Caribbean the economic costs of tropical cyclones amount to 2% of GDP annually since the 1950. The impact of cyclones can be extremely devastating, both in terms of loss of life and damage to infrastructure. 0.1\(^{\circ }\) corresponds to approximately 10km at the equator. However, one disadvantage of the EORA26 data set is that parts of the data are estimated and not measured. J Dev Econ 111:92106, Fetzer T (2020) Can workfare programs moderate conflict? Notes The colored areas depict all significant coefficients between the sectors, with negative coefficients in red and positive in green. Finally, the standard errors \(\epsilon _{i,t}\) could be biased by the autocorrelation of unobservable omitted variables (Hsiang 2016). To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. How did the tropical cyclone Florence impact the following ? The sum of these exposure weights \(w_{g,t-1}\) is divided by the total sum of the weights \(W_{i,t-1}\) in country i in period \(t-1\). The remaining variables are defined as in Eq. Fourth, to alleviate concerns of biased uncertainty measures (Hsiang 2016), I calculate different standard errors: NeweyWest standard errors with a lag length of 10 years and Conley-HAC standard errors, allowing for a spatial and temporal dependence within a radius of 1000km and within a time span of 10 years. http://www.nhc.noaa.gov/verification/verify5.shtml, Nickell SJ (1981) Biases in dynamic models with fixed effects. Hsiang (2010) also finds a negative effect of hurricanes for this sectoral aggregate for the Caribbean countries, whereas Loayza etal. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. http://hdl.handle.net/10986/2512, Yang D (2008) Coping with disaster: the impact of hurricanes on international financial flows, 19702002. Sci Rep 9(1):20452322. Econ Inquiry 46(2):214226, de Mel S, McKenzie D, Woodruff C (2012) Enterprise recovery following natural disasters. Springer, New York, London, Toya H, Skidmore M (2007) Economic development and the impacts of natural disasters. J Dev Econ 97(1):130141, Terry JP (2007) Tropical cyclones: climatology and impacts in the South Pacific. 4 and 6 with the population weighted damage for the agricultural sectoral aggregate. The different colors represent different average coefficients, ranging from 0 (light purple) to 0.24 (dark purple). First, I account for the economic exposure by weighting the maximum occurred wind speed per grid cell and year by the number of exposed people living in that grid cell relative to the total population of the country. Likewise, the contemporaneous, non-significant effect for the remaining sectors can be explained as a result of lower vulnerability and/or efficient recovery measures, which attenuate the potentially negative effect of tropical cyclones. Read the InFocus blog post on climate change and flooding As Sect. J Monet Econ 43(2):391409, Elliott RJ, Strobl E, Sun P (2015) The local impact of typhoons on economic activity in China: a view from outer space. Gross value added is defined by the UNSD as the value of output less the value of intermediate consumption (United Nations Statistical Division 2015a). One major effort of this paper is to generate a new meaningful sectoral damage variable on a country-year level. The results indicate that the policies should focus on the direct costs of tropical cyclones. These empirical studies all share that they use firm-level data to draw conclusions on upstream and downstream production disruptions. The cumulative effects are calculated by F-tests of the respective lag lengths; for example, the coefficient and confidence intervals after two years are calculated by the F-test: Damage+L1.Damage+L2.Damage. The wind speed drops with distance to the center of the hurricane and as soon as it makes landfall. Torrential rainfall can cause serious in-land flooding, thereby augmenting the risk coming from storm surges (Terry 2007). J Urban Econ 88:5066, Elliott RJ, Liu Y, Strobl E, Tong M (2019) Estimating the direct and indirect impact of typhoons on plant performance: evidence from Chinese manufacturers. In: Bobrowsky PT (ed) Encyclopedia of natural hazards. By calculating the annual sectoral GDP per capita growth rate, I lose the first year of observation of the panel. Such data are positively correlated with GDP (Felbermayr and Grschl 2014) and prone to measurement errors (Kousky 2014). This large negative effect is not surprising. For tropical cyclones, no empirical cross-country study on indirect effects exists so far. This approach follows Hsiang and Jina (2014) which analyze the accumulated long-term GDP growth effects of tropical cyclones worldwide. The findings can help them to identify the sectors for which they must reduce disaster risk. As tropical cyclones are exogenous to sectoral economic growth, the greatest threat to causal identification could arise by omitting important climatic variables that are correlated with tropical cyclones (Auffhammer etal. Econ J 129(619):13271342, He S (2017) Randomization inference with Stata: a guide and software. How did tropical cyclone Florence impact the economy? As climate change is warming ocean temperatures, there is potentially more of this fuel available. The InputOutput analysis demonstrates that production processes are only slightly disturbed by tropical cyclones. Notes This figure shows the significant effects of a one standard deviation increase in tropical cyclone damage on the respective InputOutput coefficient. Princeton University Press, Princeton, Book Cyclone Nivar : A cyclone is a general term for a weather system in which winds rotate inwardly to an area of low atmospheric pressure. In response to this, numerous studies of databases1 from around the world have been undertaken to examine the factors responsible for this increase. Second, only the maximum wind speed per grid cell and year is used for the calculation of the tropical cyclone damage. Additionally, this finding undermines the urgency to analyze past influences beyond one or two years when examining the economic impacts of natural disasters. To analyze the effect of tropical cyclones in the longer run, I introduced lags of the tropical cyclone damage variable to the main specification 4. The red and green arrow colors represent significant negative and positive effects, whereas the color intensities denote different p-values. Excellent proofreading was provided by Jamie Parsons and Harrison Bardwell. High levels of moisture in the air and low wind sheer formed showers and thunderstorms. The authors find that after the 2008 Wenchuan Earthquake neighboring counties suffer from indirect negative growth effects due to changes within the manufacturing sectors. 2019). To identify the causal effects of tropical cyclone intensity on sectoral per capita growth, I use the following set of regression equations, which constitutes my main specifications: where the dependent variable \(Growth_{i,t-1->t}^j\) is the annual value added per capita growth rate of sector j in country i. 2 contains a description of the data source, introduces the construction of the tropical cyclone damage measure, and presents descriptive statistics. Power cables and telephone lines come down, crops are ruined, and water and sewage supplies are affected. 8 thus reduces the complexity of the analysis by showing only the sign of the significant coefficients together with color intensities representing different p-values. World Dev 40(7):13171336, Mendelsohn R, Emanuel K, Chonabayashi S, Bakkensen L (2012) The impact of climate change on global tropical cyclone damage. Therefore, I propose a new spatial exposure weight for the agricultural sector, namely agricultural land, which consists of the sum of land used for grazing and crops in \(\hbox {km}^{2}\) per grid cell. He finds a negative effect for the ISIC sectors agriculture, hunting, forestry, and fishing (A&B), mining, and utilities (C&E), wholesale, retail trade, restaurants, and hotels (GH), but a positive effect for the construction sector (F). In addition, in a recent working paper, Hsiang and Jina (2014) even demonstrate a long-term negative impact of tropical cyclones of up to 20 years. Future weather. It is a unification of all best track data on tropical cyclones collected by weather agencies worldwide. They can best be summarized by three possible hypotheses: recovery to trend, build-back-better, and no recovery (Chhibber and Laajaj 2008). Once it makes landfill, Florence is expected to lash coastal communities with 130-mph winds and to dump several feet of water. 2.Economy 3.People /communities For example, Loayza etal. I follow Emanuel (2011) by including the cube of wind speed above a cut-off wind speed of 92 km/h. In terms of total losses, this decrease results in a mean yearly loss of USD \(-\,16.7\) billion (measured in constant 2005 USD) for the sample average (USD 5.63 billion). Tropical cyclones have the largest negative effect on the agriculture, hunting, forestry, and fishing aggregate compared to other sectoral aggregates. 3, their intensity and frequency are spread considerably between years and countries. 2017) at a spatial resolution of around \(10\,\times \,10\)km.Footnote 10 To avoid potential endogeneity concerns, I lag the respective weights by one period. So unfortunately, WA can expect regular cyclone impacts even as the climate . To quantify the destructiveness of tropical cyclones, I construct a new damage measure based on meteorological data weighted by different exposure of the sectors. Notes This figure shows the effect of a one standard deviation increase in tropical cyclone damage on the per capita sectoral GDP growth rate compared to the respective sample average. 2014). There are two important points to note about this tropical cyclone damage variable. Cyclones can produce flooding in two ways. The new climate-economy literature. Figure 7 illustrates the connections of significant changes of the InputOutput coefficient together with the effect size relative to the sample average of the respective InputOutput coefficients in parentheses (in %) resulting from model 6. In contrast, for the agricultural sector, it would be misleading to take a nighttime light or a population weight, since these areas have a rather low population density. For the sector aggregate wholesale, retail trade, restaurants, and hotels, a one standard deviation increase in tropical cyclone damage cause a decrease of \(-\,1.16\) percentage points of the annual per capita growth rate. The sectors least affected by indirect changes are the agriculture (ag), recycling (re), private households (ph), and export (ex) sectors. 2019). Their destructiveness has three sources: damaging winds, storm surges, and heavy rainfalls. Based on a fine-gridded wind field model, I generate a new sector-specific damage measure weighted by either agricultural land use or population data. It asks for less input from the wholesale, retail trade, restaurants, hotels and mining and utilities sector aggregates, which results from a supply shock in the agricultural sector. Oscar A. Ishizawa, Juan Jos Miranda & Eric Strobl, Aiman Sana, Farzana Naheed Khan & Umaima Arif, Preeya S. Mohan, Nekeisha Spencer & Eric Strobl, Channing Arndt, Paul Chinowsky, James Thurlow, Jimena Alvarez, Dmitry Yumashev & Gail Whiteman, Environmental and Resource Economics (2020) provide evidence that after hurricane strikes in Central America, a short-term negative growth period (12months) is compensated by a positive recovery in the second year. 2016). 2014). Additionally, I cluster the standard errors at broader regional levels as a further robustness test. The storm damaged and destroyed famand, vital infrastructure and thousands of homes, dealing another devastating blow to families still trying to put their lives together after. Eur Econ Rev 101:441458, Chhibber A, Laajaj R (2008) Disasters, climate change and economic development in Sub-Saharan Africa: lessons and directions. The storm is expected to affect Duke Energy's 1,870 megawatt (MW) Brunswick and 932MW Harris nuclear plants in North Carolina, as well as potentially the 1,676MW Surry plant in Virginia, owned by Dominion Energy. 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 ). Section4 presents the main results as well as robustness checks. Possible mechanisms for this situation are, for example, additional capital flowssuch as remittances from relatives living abroad (Yang 2008)international aid (deMel etal. 2013), I control for the mean temperature and precipitation of a country in further specifications. 5. About 12 hours before Hurricane Florence makes an appearance, both of Duke Energy's North Carolina plants will shut down. World Bank Policy Research Working Paper 5507. http://hdl.handle.net/10986/3991, Heinen A, Khadan J, Strobl E (2018) The price impact of extreme weather in developing countries. Cyclones also can bring torrential rains that lead to flooding. Tropical cyclones can have devastating economic consequences. \end{aligned}$$, $$\begin{aligned} Damage_{i,t}= \dfrac{\sum _{g \in i}w_{g,t-1}}{W_{i,t-1}}*\sum _{g \in i} S (max)_{g,t}^{3}\mathbb {1}_{S(max)>92}, \end{aligned}$$, $$\begin{aligned} IO_t^{j,k}=\frac{Input_t^{j,k}}{Total Input_t^j} \end{aligned}$$, $$\begin{aligned} Growth_{i,t-1->t}^j=\alpha ^j + \beta ^j * Damage_{i,t} +\gamma ^j*{\mathbf {Z}}_{i,t-1} + \delta _t^j + \theta _i^j + \mu _i^j*t + \epsilon _{i,t}^j, \end{aligned}$$, $$\begin{aligned} Growth_{i,t-1->t}^j= & {} \alpha ^j + \sum _{L=0}^{20}( \beta _{t-L}^j * Damage_{i,t-L}) +\gamma ^j*{\mathbf {Z}}_{i,t-1} \nonumber \\&+ \delta _t^j + \theta _i^j + \mu _i^j*t + \epsilon _{i,t}^j, \end{aligned}$$, $$\begin{aligned} IO_{i,t}^{j,k}= & {} \alpha ^{j,k} + \beta ^{j,k} * Damage_{i,t}+ \lambda ^{j,k}*IO_{i,t-1}^{j,k} +\gamma ^{j,k}*{\mathbf {Z}}_{i,t-1} \nonumber \\&+\,\delta _t^{j,k} + \theta _i^{j,k} + \mu _i^{j,k}*t + \epsilon _{i,t}^{j,k}, \end{aligned}$$, $$\begin{aligned} R = {\left\{ \begin{array}{ll} 30, &{} \text {if } L \leqq 24^\circ \\ 30 + 2.5*abs(L)-24, &{} \text {if } L> 24^\circ \\ 75, &{} \text {if } L > 42^\circ . Freddy has finally been declared over by the French Meteorological service. Queensland has 20% of Australia's sugar cane production, but . The manufacturing sectors use significantly less input from itself, which is not shown in Fig. J Eur Econ Assoc 18(6):33373375, Forster J, Schuhmann PW, Lake IR, Gill JA (2012) The influence of hurricane risk on tourist destination choice in the Caribbean. Furthermore, I use a more specific damage function than Hsiang & Jina (2014) which takes account of different sectoral exposure. The agricultural sector relies heavily on environmental conditions as most of its production facilities lie outside of buildings and are hence more vulnerable to the destructiveness of tropical cyclones. The recovery to trend hypothesis characterizes a pattern where after a negative effect in the short run, the economy recovers to the previous growth path after some time. Tropical cyclones are immensely powerful and can travel up to speeds of 65 km/h. Cyclone Eloise. Appendix A.6 exhibits the resulting robustness tests for the direct and indirect sectoral effects.Footnote 33 For the direct sectoral effects, the significant results remain robust in all different specifications underlining their credibility for the empirical model used.Footnote 34 While the placebo test yields no significant coefficients, the coefficients and p-value remain relatively stable in all remaining robustness tests, as summarized in Fig. 912, while Tables 511 show the regression results. Since the sample period is reduced to 19902015 due to data availability, I re-estimated the regression model of the main specification 2 for the reduced sample of model 6. 2019) or the destruction of vessels. 2012, 2013). Mohan (2017) provides further evidence that in Caribbean countries agricultural crops are more severely affected by hurricanes compared to livestock. This assumption is relaxed in further specifications by allowing more flexible country-specific trends (e.g., squared). The country fixed effects \(\theta _i\) control for unobservable time-invariant country-specific effects, such as culture, institutional background, and geographic location. 2018). Out of 49 parameter estimates, only 12 are significantly different from zero.Footnote 26 As expected, the heavily damaged agriculture, hunting, forestry, and fishing sector aggregate experiences the most changes. While the distribution reveals that on average, geographically smaller countries, such as Hong Kong, Dominica or Jamaica, have a higher damage, there exists a difference between both damage measures, even for the highly exposed countries. It is possible that the economy exhibits positive growth rates after a first negative growth shock. Notes This figure demonstrates the distribution of the tropical cyclone damage variable (in standard deviations) for exposed agricultural areas (a) and exposed population (b) from 1970 to 2015, Figure 3 shows the country-year observations of the tropical cyclone damage variable for (a) exposed agricultural land and (b) exposed population. However, we still can learn from this analysis of how certain direct effects evolve. The remainder of this paper is structured as follows: Sect. WMO continues to monitor the "remarkable" tropical storm, which has cut a destructive path across . To demonstrate the average intersectoral connections within my sample, Fig. 2014) remain. It is based on a physical wind model and thereby overcomes criticism of report-based damage data. 2013). The gray areas represent the respective 95% confidence intervals and the red line indicates the respective (connected) cumulative point estimates. However, on average, the previously found effects can be replicated for 12 out of the 15 robustness tests.Footnote 35 Given the reduced quality of the data and a shorter time span (20years), the InputOutput analysis still offers solid results. 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). 4 displays the average InputOutput coefficients for all countries for all available years (19902015). These factors are a decrease in the forward speed of a storm, increased intensity, and more water vapor in the atmosphere. J Afr Econ 17(Supplement2):ii7ii49, Cole MA, Elliott RJR, Okubo T, Strobl E (2019) Natural disasters and spatial heterogeneity in damages: the birth, life and death of manufacturing plants. Energy Econ 46:576592, Kruk MC, Knapp KR, Levinson DH (2010) A technique for combining global tropical cyclone best track data. www.emdat.be, Haimes YY, Jiang P (2001) Leontief-based model of risk in complex interconnected infrastructures. Thus, tropical cyclones are and will continue to be a serious threat to the life and assets of a large number of people worldwide. Springer, Dordrecht, New York, pp 481494, Chapter Asterisks and color intensities indicate p values according to: ***\(p<0.01\), **\(p<0.05\), *\(p<0.1\). It is therefore important to examine their effects over time (Felbermayr and Grschl 2014; Hsiang and Jina 2014). Circle diameter is proportional to the average sectoral share on total GDP. As the manufacturing sectors are responsible for much of the counterbalancing of indirect effects, they should not be forgotten by the policymakers, even though they show no direct negative effects. 2019), Felbermayr and Grschl (2014) show that storms from the previous fiveyears can also have a negative growth effect. (2012) use data from EM-DAT as main input for their explanatory variables. The word hurricane is only used in the Atlantic, Caribbean Sea, Gulf of Mexico, and eastern Pacific, for storms that sustain winds at or above 74 miles per hour. 2010). One reason could be that the destruction of productive capital outweighs the higher number of orders. However, as an additional robustness test, I also show a regression where I include these outliers and the results remain unchanged. Agricultural land and population count in Australia, 2008. Moreover, I include time fixed effects \(\delta _t\) to account for time trends and other events common to all countries in the sample. The sample period hence reduces to 19712015. B.E. The second most indirectly affected sector is the construction sector. Better post-disaster assistance is not the only required improvement; policymakers should also find ways to better prepare the affected sectors of their economy for possible effects of tropical cyclones before they strike. https://ideas.repec.org/c/boc/bocode/s352601.html, Nguyen CN, Noy I (2019) Measuring the impact of insurance on urban earthquake recovery using nightlights. Technical report, Centre for Environmental Data Analysis (CEDA), World Bank (2010) Natural hazards, unnatural disasters: the economics of effective prevention: overview. Significant effects of tropical cyclone damage on InputOutput coefficients. Based on physical intensity data, Hsiang (2010) analyzes the effect of hurricanes on seven sectoral aggregates in a regional study for 26 Caribbean countries. Tropical cyclones only lead to a small number of production process changes with coefficients being relatively small. How did the tropical cyclone impact the people communities? First, tropical cyclones frequently cause a surge in ocean waters causing sea . Tropical Cyclone Freddy - which is threatening communities in Madagascar and Mozambique for a second time in as many weeks - could become the longest-lasting storm of its kind on record, the World Meteorological Office (WMO) said on Tuesday. https://unstats.un.org/unsd/snaama/assets/pdf/methodology.pdf, United Nations Statistical Division (2015c) UN data. J Infrastruct Syst 7(1):112, Hallegatte S, Przyluski V (2010) The economics of natural disasters: concepts and methods. The findings could help to explain why there has been no discernible change in the number of tropical cyclones occurring globally over the past 40 years, says Murakami: "We don't find any clear trend in the number of global tropical cyclones over the last 40 years. Kunze, S. Unraveling the Effects of Tropical Cyclones on Economic Sectors Worldwide: Direct and Indirect Impacts. The damaging winds are responsible for serious destruction of buildings and vegetation. My results indicate that this negative aggregate effect can be attributed to two sectoral aggregates, including agriculture, hunting, forestry, and fishing; manufacturing and wholesale, retail trade, restaurants, and hotels. A study led by Kevin Reed, PhD, Assistant Professor in the School of Marine and Atmospheric Sciences (SoMAS) at Stony Brook University, and published in Science Advances, found that Hurricane. Bakkensen LA, Park D-SR, Sarkar RSR (2018) Climate costs of tropical cyclone losses also depend on rain. About how did tropical cyclone eloise impact the economy. Direct negative impacts can result from the destruction of productive capital, infrastructure, or buildings, and thereby can generate a negative income shock for the whole economy (Kousky 2014). I am grateful for comments made by Axel Dreher, Vera Eichenauer, Andreas Fuchs, Lennart Kaplan, Eric Strobl, and Christina Vonnahme. Circle diameters represent the average proportional share on total GDP ranging from 32% (other activities), over 12% (manufacturing) to 6% (construction).Footnote 25. Distribution of tropical cyclone damage, 19702015. Since the tropical cyclone data has global coverage since 1950, I am able to introduce lags of up to 20years without losing observations of my dependent variable, which ranges from 1971 to 2015. Social impacts TBC homes destroyed. Stagnant water can cause the spread of disease, and transportation or communication infrastructure may have been destroyed, hampering clean-up and rescue efforts. Tropical cyclones cause widespread damage in specific regions as a result of high winds and flooding. Econ Syst Res 29(3):452461, Ouattara B, Strobl E (2013) The fiscal implications of hurricane strikes in the Caribbean. The different economic activities are classified as follows with the respective ISIC codes given in parentheses: agriculture, hunting, forestry, and fishing (A&B); mining, and utilities (C&E); manufacturing (D); construction (F); wholesale, retail trade, restaurants, and hotels (GH); transport, storage, and communication (I); other activities (JP), which include, inter alia, the financial and government sector. The results of the InputOutput analysis, summarized in Appendix A.6.2, are a little less robust. Depending on the level of aggregation, I run 49 (7*7) or 676 (26*26) different regressions. Consequently, \(\beta ^j\) is the coefficient of main interest in this specification. In a single country study on floods in Germany, Sieg etal. Sept. 16: Some areas receive as much as 34 inches of rain from Sept. 13 to Sept. 16. Hsiang (2010) also finds the largest negative effects of tropical cyclones for the agricultural sector aggregate, while Loayza etal. How do tropical storms affect people and the environment? Other basins have different names for the same phenomenon: tropical cyclone. J Econ Anal Policy 8(1):13. 6: The manufacturing sectors ask significantly less input from it. This study provides an explanation about which sectors contribute to an overall negative GDP-effect of tropical cyclones identified by previous studies (Noy 2009; Strobl 2012; Elliott etal. The agriculture, hunting, forestry, and fishing sector aggregate first depicts negative growth rates but then quickly recovers after four years. Mon Weather Rev 142(10):38813899, Sieg T, Schinko T, Vogel K, Mechler R, Merz B, Kreibich H (2019) Integrated assessment of short-term direct and indirect economic flood impacts including uncertainty quantification.

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