Climate change is an important subject nowadays and climate change leads to more natural disasters. This essay is a large literature study on Asian, American, European, Oceanian and African countries about the economic consequences for households as a result of natural disasters and the coping mechanisms used by households, as well as governments and institutions. It also provides information about natural disasters, such as natural disasters that have the worst consequences, people that are highly affected by disasters and places in the world where disasters happen the most. The aim of this study is to learn more about environmental disasters and prepare better for future disasters. The results show consequences on welfare (income, assets, poverty), the labour market, migration and inequality. And the coping strategies found are post-disaster sources (help from family and relatives, public and private transfers, borrowing, credits, savings, insurance), decrease in expenditures, changes in consumption, selling assets, changes in the labour market, help from communities and other ways to cope. Governments and institutions also help households in the aftermath of natural disasters. Overall, we conclude that natural disasters lead to important economic impacts for people, and households react by using different coping mechanisms to recover.

The summer of 2007 was the worst wildfire season ever recorded in Greek contemporary history with approximately 270,000 hectares of land burned throughout the country. The area most severely hit was the Peloponnesian state of Elia. Econometric analysis with the use of primary and secondary data was carried out in an attempt to disentangle the effects of a variety of factors in the spread of the fire. The findings identified villages in low altitudes and steep slopes as the ones most vulnerable to the risk of wildfire. Wind speed played a significant role in exacerbating the blazes. As far as human factors are concerned population density was negatively associated with wildfire spread. In addition, the more olive groves were found within the boundaries of a village the less damage the settlement was found to have sustained. Finally, participation of local people in fire abatement efforts was significant in reducing wildfire risk. We conclude that public policy should consider a more holistic approach to wildfire management; one that would incorporate the “human-fire” interactions more thoroughly and balance the importance of ecological variables and social parameters in both wildfire prevention and mitigation.

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Natural disasters have always been and probably always will be a problem for humans and their settlements. With global warming seemingly increasing the frequency and strength of the climate related disasters, and more and more people being settled in urban centers, the ability to model and predict damage is more important than ever.The aim of this thesis has been to model and analyze a broad range of disaster types and the kind of impact that they have. By modeling damage indices for disaster types as different as hurricanes and volcanic eruptions, the thesis helps with understanding both similarities and differences between how disasters work and what impact they have on societies experiencing them. The thesis comprises four different chapters in addition to this introduction, where all of them include modeling of one or more types of natural disasters and their impact on real world scenarios such as local budgets, birth rates and economic growth.Chapter 2 is titled “Natural Disaster Damage Indices Based on Remotely Sensed Data: An Application to Indonesia". The objective was to construct damage indices through remotely sensed and freely available data. In short, the methodology exploits that one can use nightlight data as a proxy for economic activity. Then the nightlights data is matched with remote sensing data typically used for natural hazard modeling. The data is then used to construct damage indices at the district level for Indonesia, for different disaster events such as floods, earthquakes, volcanic eruptions and the 2004 Christmas Tsunami. The chapter is forthcoming as a World Bank Policy Research Paper under Skoufias et al. (2017a).Chapter 3 utilizes the indices from Chapter 2 to showcase a potential area of use for them. The title is “The Reallocation of District-Level Spending and Natural Disasters: Evidence from Indonesia" and the focus is on Indonesian district-level budgets. The aim was to use the modeled intensity from Chapter 2 to a real world scenario that could affect policy makers. The results show that there is evidence that some disaster types cause districts to move costs away from more general line items to areas such as health and infrastructure, which are likely to experience added pressure due to disasters. Furthermore, volcanic eruptions and the tsunami led to less investment into more durable assets both for the year of the disaster and the following year. This chapter is also forthcoming as a World Bank Policy Research Paper under Skoufias et al. (2017b).The fourth chapter, titled “Urban Global Impact of Earthquakes from 2004 through 2013", is a short chapter focusing on earthquake damage and economic growth. This chapter is an expansion of the index used in the previous two chapters, where we use global data instead of focusing on a single country. Using a comprehensive remotely sensed dataset of contour mapsof global earthquakes from 2004 through 2013 and utilizing global nightlights as an economic proxy we model economic impact in the year of the quakes and the year after. Overall, it is shown that earthquakes negatively impact local urban light emissions by 0.7 percent.Chapter 5 is named “A Whirlwind Romance: The Effect of Hurricanes on Fertility in Early 20th Century Jamaica" and deviates from the prior chapters in that it is a historical chapter that looks at birth rates in the early 1900s. The goal was to use the complete and long-term birth database for Jamaica and match this with hurricane data to check fertility rates. We create a hurricane destruction index derived from a wind speed model that we combine with data on more than 1 million births across different parishes in Jamaica. Analyzing the birth rate following damaging hurricanes, we find that there is a strong and significant negative effect of hurricane destruction on the number of births. / Natural disasters have always been and probably always will be a problem for humans and their settlements. With global warming seemingly increasing the frequency and strength of the climate related disasters, and more and more people being settled in urban centers, the ability to model and predict damage is more important than ever.The aim of this thesis has been to model and analyze a broad range of disaster types and the kind of impact that they have. By modeling damage indices for disaster types as different as hurricanes and volcanic eruptions, the thesis helps with understanding both similarities and differences between how disasters work and what impact they have on societies experiencing them. The thesis comprises four different chapters in addition to this introduction, where all of them include modeling of one or more types of natural disasters and their impact on real world scenarios such as local budgets, birth rates and economic growth.Chapter 2 is titled “Natural Disaster Damage Indices Based on Remotely Sensed Data: An Application to Indonesia". The objective was to construct damage indices through remotely sensed and freely available data. In short, the methodology exploits that one can use nightlight data as a proxy for economic activity. Then the nightlights data is matched with remote sensing data typically used for natural hazard modeling. The data is then used to construct damage indices at the district level for Indonesia, for different disaster events such as floods, earthquakes, volcanic eruptions and the 2004 Christmas Tsunami. The chapter is forthcoming as a World Bank Policy Research Paper under Skoufias et al. (2017a).Chapter 3 utilizes the indices from Chapter 2 to showcase a potential area of use for them. The title is “The Reallocation of District-Level Spending and Natural Disasters: Evidence from Indonesia" and the focus is on Indonesian district-level budgets. The aim was to use the modeled intensity from Chapter 2 to a real world scenario that could affect policy makers. The results show that there is evidence that some disaster types cause districts to move costs away from more general line items to areas such as health and infrastructure, which are likely to experience added pressure due to disasters. Furthermore, volcanic eruptions and the tsunami led to less investment into more durable assets both for the year of the disaster and the following year. This chapter is also forthcoming as a World Bank Policy Research Paper under Skoufias et al. (2017b).The fourth chapter, titled “Urban Global Impact of Earthquakes from 2004 through 2013", is a short chapter focusing on earthquake damage and economic growth. This chapter is an expansion of the index used in the previous two chapters, where we use global data instead of focusing on a single country. Using a comprehensive remotely sensed dataset of contour mapsof global earthquakes from 2004 through 2013 and utilizing global nightlights as an economic proxy we model economic impact in the year of the quakes and the year after. Overall, it is shown that earthquakes negatively impact local urban light emissions by 0.7 percent.Chapter 5 is named “A Whirlwind Romance: The Effect of Hurricanes on Fertility in Early 20th Century Jamaica" and deviates from the prior chapters in that it is a historical chapter that looks at birth rates in the early 1900s. The goal was to use the complete and long-term birth database for Jamaica and match this with hurricane data to check fertility rates. We create a hurricane destruction index derived from a wind speed model that we combine with data on more than 1 million births across different parishes in Jamaica. Analyzing the birth rate following damaging hurricanes, we find that there is a strong and significant negative effect of hurricane destruction on the number of births.

Thesis (M.S.)--Mississippi State University. Department of Geosciences. / Title from title screen. Includes bibliographical references.

Thesis (Ph. D.)--Rutgers University, 2007. / "Graduate Program in Planning and Public Policy." Includes bibliographical references (p. 246-250).

In South Africa, January 2011 was characterised by above average rainfall which resulted in many provinces being flooded. On the 17th of January 2011, the government of South Africa declared the City of Tshwane a National Disaster Area. It is in the city of Tshwane where a hotel was flooded causing great damage and disruption to the lives of the hotel workers. Given the lack of existing research focusing on the social dimensions of natural disasters, this provided an opportunity to study the social impact of the flood on the community of hotel workers at a Pretoria hotel. Four sub-aims were set for the study, which involved an exploration of the strengths that were exhibited, discovered or developed as a result of the flood; investigating the subjective experiences in relation to the flood; exploring the interactional patterns and relationships of the hotel workers; as well as investigating how the leadership of the hotel impacted on the manner in which the hotel workers dealt with the flood. A qualitative methodology, guided by a social constructivist epistemology was adopted as basis for the study. Data was gathered by means of individual semi-structured interviews, semi-structured questionnaires, and a focus group interview with a number of employees at the hotel. The data was subjected to qualitative content and grounded theoretical analysis. Five main themes emerged from the analysis, which include: Emotional responses, which included negative emotions such as shock, fear, frustration and anger, as well as positive emotions such as happiness and appreciation; a variety of interactional patterns and relationships; increased cohesiveness; enhanced leadership, and the development of group resilience. / MA, Medical Sociology, North-West University, Vaal Triangle Campus, 2012

CHDS State/Local / The problem confronting The Department of Homeland Security (DHS), the Department of Defense (DoD), and Americaâ s private sector is how to collectively protect the nationâ s critical infrastructure. The challenge for the DHS is in motivating partnerships across the public, private, and DoD domains, each with different organizational and cultural objectives governed under a federalist system. The relevance of this problem lies in the vulnerability of Americaâ s economic and military foundations to terrorist attacks or a catastrophic natural disaster. Research conducted of the regulated energy and water industries indicates federal standards can be effectively established across the public-private domains. The establishment of federal tax and insurance incentives, limiting corporate liability, and developing industry standards may motivate increased security and circumvent excessive federal mandates. The conduct of partnering is scrutinized via personal interviews to determine if the recommendation to build security partnerships with federal guidance is sufficient to secure critical infrastructure. The implementation of a dual-purpose strategy is recommended to further enhance the efficiency of security partnerships. This thesis suggests the DHS must develop an innovative CIP policy and utilize the National Infrastructure Protection Plan (NIPP) as the vehicle to integrate and synchronize the actions of all security partners. / Major, Alaskan Command (ALCOM)

While people all over the world are vulnerable to natural disasters, the available data clearly demonstrate a great deal of cross-country variance in the impact of catastrophic events. For example, while Hurricane Mitch took an estimated 13,000 lives when it struck Honduras and Nicaragua, the stronger Hurricane Andrew took only 26 lives when it impacted the United States. What factors explain this difference? Thus far, disaster researchers have emphasized economic and social vulnerability as determinants of disaster impact; the conventional wisdom accepts that poor and underdeveloped countries are more vulnerable than wealthy, developed countries. I argue that the political institutions of a country also matter and then examine the relative importance of political vulnerability as a determinant of disaster impact. I present evidence from case studies and large-N statistical analysis that demonstrates that, like social and economic vulnerability, political vulnerability is an important determinant of the impact of a natural disaster.