scholarly journals Developing a Global Method for Normalizing Economic Loss from Natural Disasters

2022 ◽  
Vol 23 (1) ◽  
Author(s):  
Brian Alstadt ◽  
Anthony Hanson ◽  
Austin Nijhuis
2011 ◽  
Vol 26 (S1) ◽  
pp. s126-s127
Author(s):  
W. Zhang

IntroductionChina is one of the countries most affected by disasters caused by natural hazards. Disasters comprise an important restricting factor for economic and social development.MethodsRetrospective analysis was performed based on the epidemiological data of disasters caused by natural hazards in recent two decades.ResultsThe deadliest disaster that was reviewed was the Sichuan, Wenchuan earthquake on 12 May 2008 with a death toll of 88,928. Floods were the the primary natural hazard resulting in disaster in China. The economic loss caused by natural disasters was huge, the Sichuan earthquake alone resulted in an economic loss of 845.1 billion Chinese Yuan. However, psychosocial factors did not receive attention by Chinese Government and academics.ConclusionsThe characteristics and impact of disasters should be analyzed to scientifically provide useful information for natural disaster mitigation in China.


2020 ◽  
Author(s):  
Amarendra Das ◽  
Dasarathi Padhan ◽  
Chinmayee Sahoo

<p>This paper tries to account for the economic loss due to natural disasters, as the depreciation of capital and provide the adjusted estimate of NDP. Systematic data on economic loss due to natural disasters are limited for all Indian states. Therefore, this paper provides a methodological framework for accounting for the depreciation of the capital due to natural disasters for all Indian states and provides an approximate estimate of adjusted NDP for all Indian states. Due to availability of systematic data on the economic loss due to natural disasters, time series estimate of adjusted NDP are provided for Odisha state which experiences maximum climatic natural disasters. Calculation of adjusted NDP will be very much useful for fiscal transfer from Union to States and other economic policy making. </p>


Author(s):  
Raghu Bir Bista

Almost all extreme socio economic vulnerabilities relate to natural disasters and its economic loss at household level, along with socio economic characteristics of household. This relationship creates great curiosity estimating determinants and levels of vulnerability at micro level for policy understanding for minimizing household vulnerability. This paper measures empirically the determinants of vulnerability of natural disasters at household level based on primary data sets collected from household survey in Sot Khola water basin by using multiple econometric models. The descriptive analysis shows a huge loss with a worth 13,344,000 Rupees including crops, assets and physical infrastructure. Despite its small worth, life was worst due to loss of house, crops, clean drinking water, electricity, documents, foods, communication, displacement etc. Furthermore, the result of the model shows rural orthodox society having indigenous knowledge and skill, conservative agrarian family, traditional labor force, primitive technology etc. Loss and income of household have positive relationship but labor, early warning and knowledge of disasters have negative relationship. Knowledge of disasters have made household resilient to reduce economic loss and then household vulnerability. Households in the geography of Gadhi and Lekhagaon are more resilient than of Kunathari. Therefore, climate resilience is urgent issue to minimize household vulnerability for household income and welfare.


2018 ◽  
Vol 10 (7) ◽  
pp. 2573 ◽  
Author(s):  
Guoqiang Shen ◽  
Long Zhou ◽  
Yao Wu ◽  
Zhiming Cai

Natural disasters are hazardous geophysical, meteorological, hydrological, climatological, and/or biological events that disturb human and natural environments, causing injuries, casualties, property damages, and business interruptions. Sound analysis is required regarding the effective hazard preparedness for, response to, mitigation of, and recovery from natural disasters. This research proposes an expected risk analysis model of world natural disasters recorded for 1900–2015 in the Emergency Disaster Database compiled by the Centre for Research on the Epidemiology of Disaster. The model produces consistent estimates of country-level risks in terms of human casualty and economic loss. The expected risks, along with their standard deviations, and ranks for world 208 countries, are analyzed with highlights for the top 10, 20 and 30 countries. Normalized expected risks by country population density and per capita gross domestic product (GDP) are also analyzed to further understand the relationships between risks and socio-economic measures. The results show that the model is a reasonably effective alternative to the existing risk analysis methods, based on the high correlations between the observed and estimated total risks. While riskier countries with higher expected risks and standard deviations are found in all continents, some developing countries such as China, India, Bangladesh, and Brazil, or developed countries, such as the United States, Japan, and Germany, are the hot-spots of global natural disasters. The model can be used as a new alternative approach to conduct country-level risk assessments or risk analyses of fatality, injured, affected, and damage—especially for countries’ governments to make sound disaster preparation, and mitigation decisions, sustainable policies, or plans regarding natural disasters.


2007 ◽  
Vol 19 (2) ◽  
pp. 163-181 ◽  
Author(s):  
Norihiko Yamano ◽  
Yoshio Kajitani ◽  
Yoshiharu Shumuta

Author(s):  
M T Lukamba

Problems posed by disasters have become increasingly important for all African governments. Every year a variety of disas ters occurs in Sub-Saharan Africa and these are becoming more prevalent. This article presents an analysis of statistical surveys for natural disasters in different regions of Africa over a 30-year period from 1974 to 2003. It shows that disaster frequency is increasing on the continent. The investigation of the data demonstrates that the East Africa region is under the greatest threat from natural disasters. In 2008, climatological disasters, notably droughts, claimed many victims in the eastern part of Africa, with more than one third of the population affected in Djibouti, Eritrea, and Somalia. The region has experienced the highest recorded number of disaster events for the past 30 years, followed by the West Africa region. The Southern Africa region is placed third as far as the frequency of disaster events in sub-Saharan Africa is concerned. The least disaster prone region is central Africa. The observations made in this analysis relate to the economic losses in different regions from the impact of natural disasters. In some instances, recovery from economic loss could not be recouped because of stunted growth and other internal problems in these countries. In addition, this article suggests some strategies to mitigate the problem of natural hazards in sub-Saharan Africa.Keywords: Flood; drought; volcanic eruptions; political governance; climate change; specialised capabilities


2014 ◽  
Vol 708 ◽  
pp. 271-275
Author(s):  
Monika Blistanova ◽  
Peter Blistan

Floods are among the most frequent and costly natural disasters in terms of human and economic loss. Flood salvage operations concentrate on rescuing the civilian population, which must take into account many variables. In view of practice difficult planning related with the rescue work is also important logistical support. GIS systems offer a wide range of tools for data analysis and preparation of various scenarios and thus significantly helping in planning and decision-making.


2020 ◽  
Author(s):  
Amarendra Das ◽  
Dasarathi Padhan ◽  
Chinmayee Sahoo

<p>This paper tries to account for the economic loss due to natural disasters, as the depreciation of capital and provide the adjusted estimate of NDP. Systematic data on economic loss due to natural disasters are limited for all Indian states. Therefore, this paper provides a methodological framework for accounting for the depreciation of the capital due to natural disasters for all Indian states and provides an approximate estimate of adjusted NDP for all Indian states. Due to availability of systematic data on the economic loss due to natural disasters, time series estimate of adjusted NDP are provided for Odisha state which experiences maximum climatic natural disasters. Calculation of adjusted NDP will be very much useful for fiscal transfer from Union to States and other economic policy making. </p>


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