Modeling the Regional Economic Loss of Natural Disasters: The Search for Economic Hotspots

2007 ◽  
Vol 19 (2) ◽  
pp. 163-181 ◽  
Author(s):  
Norihiko Yamano ◽  
Yoshio Kajitani ◽  
Yoshiharu Shumuta
Keyword(s):  
Natural Disasters ◽  
Economic Loss ◽  
Regional Economic

scholarly journals (P1-86) Socioeconomic Impact of Natural Disasters in China

2011 ◽  
Vol 26 (S1) ◽  
pp. s126-s127
Author(s):  
W. Zhang
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Natural Hazards ◽  
Natural Hazard ◽  
Epidemiological Data ◽  
Economic Loss ◽  
Disaster Mitigation ◽  
Socioeconomic Impact ◽  
Chinese Government ◽  
Chinese Yuan

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.

scholarly journals Assessment of Pollution-Health-Economics Nexus in China

2018 ◽  
Author(s):  
Yang Xia ◽  
Dabo Guan ◽  
Jing Meng ◽  
Yuan Li ◽  
Yuli Shan
Keyword(s):  
North China ◽  
Impact Analysis ◽  
Eastern China ◽  
Economic Loss ◽  
Input Output ◽  
Regional Economic ◽  
Mortality And Morbidity ◽  
Economic Impact Analysis ◽  
The North ◽  
Industrial Level

Abstract. Serious haze can cause contaminant diseases that trigger productive labour time by raising mortality and morbidity rates in cardiovascular and respiratory diseases. Health studies rarely consider macroeconomic impacts of industrial interlinkages while disaster studies seldom involve air pollution and its health consequences. This study adopts a supply-driven input-output model to estimate the economic loss resulting from disease-induced working time reduction across 30 Chinese provinces in 2012 using the most updated Chinese Multiregional Input-Output Table. Results show total economic loss of 398.23 billion Yuan (~1 % of China's GDP in 2012) with the majority comes from Eastern China and Mid-South. Total number of affected labourers amounts at 82.19 million. Cross-regional economic impact analysis indicates that Mid-South, North China and Eastern China entail the majority of regional indirect loss. Indeed, most indirect loss in North China, Northwest and Southwest can be attributed to Manufacturing and Energy in other regions while loss in Eastern China, Mid-South and Northeast largely originate from Coal and Mining in other regions. At the sub-industrial level, most inner-regional loss in North China and Northwest originate from Coal and Mining, in Eastern China and Southwest from Equipment and Energy, and in Mid-South from Metal and Non-metal. These findings highlight the potential role of geographical distance in regional interlinkages and regional heterogeneity in inner- and outer-regional loss due to distinctive regional economic structures and dependences between the North and South.

scholarly journals Depreciation of Capital due to Natural Disaster and Adjusted Net Domestic Product

2020 ◽  
Author(s):  
Amarendra Das ◽  
Dasarathi Padhan ◽  
Chinmayee Sahoo
Keyword(s):  
Time Series ◽  
Economic Policy ◽  
Natural Disasters ◽  
Policy Making ◽  
Economic Loss ◽  
Methodological Framework ◽  
Indian States ◽  
Systematic Data ◽  
Approximate Estimate ◽  
Fiscal Transfer

<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>

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
Keyword(s):  
Natural Disasters ◽  
Economic Loss ◽  
Global Method

scholarly journals Seismic Indirect Economic Loss Assessment and Recovery Evaluation Using Night-time Light Images – Application for Wenchuan Earthquake

2018 ◽  
Author(s):  
Jianfei Wang ◽  
Jingfa Zhang ◽  
Lixia Gong ◽  
Qiang Li ◽  
Dan Zhou
Keyword(s):  
Wenchuan Earthquake ◽  
Light Attenuation ◽  
National Level ◽  
Economic Loss ◽  
Economic Losses ◽  
Economic Activities ◽  
Night Time ◽  
Regional Economic ◽  
Disaster Area ◽  
Indirect Economic Loss

Abstract. Seismic indirect economic loss not only has a major impact on regional economic recovery policies, but also related to the economic assistance at the national level. Due to the Cross-regional economic activities and the difficulty of obtaining data, it's difficult that the indirect economic loss survey covers all economic activities. However, night-time light in an area can reflect the economic activity of the region. This paper focuses on the indirect economic losses caused by the Wenchuan earthquake in 2008 and evaluated the progress of restoration and reconstruction based on night-time light Images. First, the functional relationship between GDP and night-time light parameters was established based on the pre-earthquake data. Next, the indirect loss of the earthquake was evaluated by the night-time light attenuation in the disaster area after the earthquake. Then, the capacity recovery, which is characterized by the brightness recovery process of the light area, was evaluated. Lastly, the process of light expansion in the disaster area was analyzed to evaluate the economic expansion speed and efficiency.

scholarly journals Determinants of Flood Disaster Households’ Vulnerability in Nepal

2019 ◽  
pp. 47-59 ◽  
Author(s):  
Raghu Bir Bista
Keyword(s):  
Natural Disasters ◽  
Descriptive Analysis ◽  
Negative Relationship ◽  
Household Survey ◽  
Economic Loss ◽  
Primary Data ◽  
Household Level ◽  
Climate Resilience ◽  
Household Vulnerability ◽  
Almost All

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.

scholarly journals A Global Expected Risk Analysis of Fatalities, Injuries, and Damages by Natural Disasters

2018 ◽  
Vol 10 (7) ◽  
pp. 2573 ◽  
Author(s):  
Guoqiang Shen ◽  
Long Zhou ◽  
Yao Wu ◽  
Zhiming Cai
Keyword(s):  
Risk Analysis ◽  
Natural Disasters ◽  
Economic Loss ◽  
Developed Countries ◽  
The United States ◽  
Natural Environments ◽  
Analysis Model ◽  
Country Level ◽  
Disaster Preparation ◽  
Standard Deviations

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.

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