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Natural disaster

About: Natural disaster is a research topic. Over the lifetime, 5456 publications have been published within this topic receiving 104808 citations. The topic is also known as: natural calamity & natural hazard.


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Journal ArticleDOI
TL;DR: The authors survey the literature that examines the direct and indirect impact of natural disaster events specifically on the poor and their impact on the distribution of income within affected communities and societies and discuss some of the lacunae in this literature and outline a future agenda of investigation.
Abstract: The last few years have seen an explosion of economic research on the consequences of natural disasters. This new interest is attributable first and foremost to a growing awareness of the potentially catastrophic nature of these events, but also a result of the increasing awareness that natural disasters are social and economic events: their impact is shaped as much by the structure and characteristics of the countries they hit as by their physical characteristics. Here, we survey the literature that examines the direct and indirect impact of natural disaster events specifically on the poor and their impact on the distribution of income within affected communities and societies. We also discuss some of the lacunae in this literature and outline a future agenda of investigation.

60 citations

Posted Content
TL;DR: In this paper, the authors evaluated the economic impacts of floods in the city of SA£o Paulo through the use of a spatial CGE model integrated to GIS information related to the location of points of floods and the firms within their influence.
Abstract: The city of SA£o Paulo, home to 11 million people, suffers constantly the effects of flooding caused by extreme precipitation. Localized floods occur every summer in various parts of the city. Besides the losses and inconvenience felt by the residents, floods produce damages that cross the city boundaries, affecting income and output in the metropolitan area as well as in other parts of the state and the country. The objective of this study is to evaluate the economic impacts of floods in the city of SA£o Paulo through the use of a spatial CGE model integrated to GIS information related to the location of points of floods and the firms within their influence. It is estimated that floods contributed to reduce city growth and residents welfare, as well as to hamper local competitiveness in both domestic and international markets. An intra-city total impact-damage ratio of 2.2 and an economy-wide total impact-damage ratio of 5.0 were found.

60 citations

Journal ArticleDOI
TL;DR: The National Integrated Drought Information System (NIDISISIS) as discussed by the authors has a defined goal of creating a drought early warning system that provides probabilistic forecasts with sufficient spatial Facilitating the Use of Drought Early Warning Information through Interactions with Agricultural Stakeholders
Abstract: AMERICAN METEOROLOGICAL SOCIETY | JULY 2015| 1073 PB Extreme drought events across the United States in recent years have led to large societal impacts and contributed to lower agricultural productivity in major farming and ranching areas of the country. The total cost associated with these events has been high, with the 2012 drought alone costing more than $35 billion, making it one of the most expensive natural disasters in U.S. history. Because droughts impact more people than any other type of natural disaster, robust drought early warning systems that effectively characterize and disseminate information to vulnerable stakeholders are necessary to assist drought mitigation and climate adaptation efforts. A prime example is the National Integrated Drought Information System (NIDIS), which has a defined goal of creating a drought early warning system that provides probabilistic forecasts with sufficient spatial Facilitating the Use of Drought Early Warning Information through Interactions with Agricultural Stakeholders

59 citations

Journal ArticleDOI
TL;DR: In this paper, the authors focused on factors influencing adaptive capacity of households and individuals and described level of preparedness to natural disaster occurrences, and found that households making use of unapproved dump sites for solid waste disposal, those with inferior roof construction materials, and those located in the rural areas were more likely to experience increased severe negative effects from natural disasters occurrences.
Abstract: Much of the strategies employed in managing natural disasters in Nigeria have been reactive, while efforts at embracing preparedness have been lean. Evidence from literature as well as global experiences however shows that factors which increase adaptive capacity to disasters are ex-ante risk reducing strategies. In this light, the study focuses on factors influencing adaptive capacity of households and individuals and describes level of preparedness to natural disaster occurrences. A sample of 1116 individuals was obtained from six states spread across the geopolitical zones of Nigeria for a questionnaire survey. With the use of a binary logit model, we attempt to explain the severity or non-severity of the negative effects of natural disaster outcomes using adaptive capacity/vulnerability variables. The results show that households making use of unapproved dump sites for solid waste disposal, those with inferior roof construction materials, and those located in the rural areas were more likely to experience increased severe negative effects from natural disaster occurrences. Moreover, factors such as a lack of personal savings, agriculture based livelihoods and a single income source increased the odds of experiencing severe negative effects from natural disasters for individuals. We also discuss coping strategies adopted by individuals and households in the aftermath of natural disasters. Much of these represent informal mechanisms and we find that some of these strategies may not be entirely beneficial to individuals and households in the long run.

59 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20249
2023861
20221,970
2021293
2020348
2019337