Natural Disasters and Growth: Going Beyond the Averages

Loayza, Norman; Olaberría, Eduardo; Rigolini, Jamele; Christiaensen, Luc

doi:10.1016/j.worlddev.2012.03.002

Cited by 499 publications

(251 citation statements)

References 47 publications

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“…All disasters, whatever their type, have a common aspect: the severe impact they have on people's lives, properties and on the environment (Shaluf, 2007). These impacts are often quantified by researchers on a population and on a nation's development (Albala-Bertrand, 1993;Loayza et al, 2012;Skidmore and Toya, 2007). The damage caused by a disaster is seen not only to have an immediate impact on people's lives but might also have a long-term negative impact on a country's economic development, depending on the type of disaster (Loayza et al, 2012).…”

Section: Disaster Impact Disaster Phase and Disaster Typementioning

confidence: 99%

“…These impacts are often quantified by researchers on a population and on a nation's development (Albala-Bertrand, 1993;Loayza et al, 2012;Skidmore and Toya, 2007). The damage caused by a disaster is seen not only to have an immediate impact on people's lives but might also have a long-term negative impact on a country's economic development, depending on the type of disaster (Loayza et al, 2012). To be able to measure the impact of a disaster it is important to recognise the different characteristics and types of disasters.…”

Section: Disaster Impact Disaster Phase and Disaster Typementioning

confidence: 99%

“…A person who is categorised as affected by the disaster in the EM-DAT database is one who needs immediate assistance; he or she can be a displaced or evacuated person (EM-DAT, 2009). In this study the EM-DAT database data is utilised since this database has a broad coverage of disasters and is fully available to the public (Haavisto, 2012) and is often referred to in studies in disaster impact models (Fink and Redaelli, 2011;Keefer et al, 2011;Loayza et al, 2012;Skidmore and Toya, 2007).…”

Section: Datamentioning

confidence: 99%

“…Corruption is identified as being significant in the number of deaths in the case of earthquakes (Ambraseys and Bilham, 2011;Keefer et al, 2011) while trade policies (Loayza et al, 2012;Noy, 2009) and government size (Skidmore and Toya, 2007) are also used. For this model government effectiveness was chosen as it measures both quality of government services and quality of policies (Kaufmann et al, 2010).…”

Section: Datamentioning

confidence: 99%

See 3 more Smart Citations

Country logistics performance and disaster impact

Vaillancourt

Haavisto

2015

Disasters

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The aim of this paper is to deepen the understanding of the relationship between country logistics performance and disaster impact. The relationship is analysed through correlation analysis and regression models for 117 countries for the years 2007 to 2012 with disaster impact variables from the International Disaster Database (EM-DAT) and logistics performance indicators from the World Bank. The results show a significant relationship between country logistics performance and disaster impact overall and for five out of six specific logistic performance indicators. These specific indicators were further used to explore the relationship between country logistic performance and disaster impact for three specific disaster types (epidemic, flood and storm). The findings enhance the understanding of the role of logistics in a humanitarian context with empirical evidence of the importance of country logistics performance in disaster response operations.

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Section: Disaster Impact Disaster Phase and Disaster Typementioning

confidence: 99%

Section: Disaster Impact Disaster Phase and Disaster Typementioning

confidence: 99%

Section: Datamentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

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Country logistics performance and disaster impact

Vaillancourt

Haavisto

2015

Disasters

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“…Disaster occurrences and their impact on resources and human lives have been widely covered in the literature, news media, and publications from international organizations (ABC News, 2010;De Marchi, 2007;IFRC, 2011;Lees, 1996;Loayza et al, 2012;Magnone, 2012;Rodriguez et al, 2012;United Nations, 2008). Disaster management includes assessment of the vulnerabilities of a disasterprone zone for planning preventive measures or mitigation preparation (Hochrainer and Mechler, 2011;Wei et al, 2004), assessment of the needs after the disaster (Chen et al, 2012;Leaning, 2008;Lillibridge et al, 1993), identification of logistical factors for mitigation planning (Nivolianitou and Synodinou, 2011), and coping with the disaster event for relief and rehabilitation of the affected population (Pomeroy et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Disaster Assessment and Mitigation Planning: A Humanitarian Logistics Based Approach

Das¹,

Lashkari

Biswas³

2013

Industrial Engineering and Management Systems

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This paper proposes a mathematical modeling-based approach for assessing disaster effects and selecting suitable mitigation alternatives to provide humanitarian relief (HR) supplies, shelter, rescue services, and long-term services after a disaster event. Mitigation steps, such as arrangement of shelter and providing HR items (food, water, medicine, etc.) are the immediate requirements after a disaster. Since governments and non-governmental organizations (NGOs) providing humanitarian aid need to know the requirements of relief supplies and resources for collecting relief supplies, organizing and initiating mitigation steps, a quick assessment of the requirements is the precondition for effective disaster management. Based on satellite images from weather forecasting channels, an area/dimension of the disaster-affected zones and the extent of the overall damage may often be obtained. The proposed approach then estimates the requirements for HR supplies, supporting resources, and rescue services using the census and other government data. It then determines reliable transportation routes, optimum collection and distribution centers, alternatives for resource support, rescue services, and long-term help needed for the disaster-affected zones. A numerical example illustrates the applicability of the model in disaster mitigation planning.

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From traditional innovation to green innovation: How an occurrence of natural disasters influences sustainable development?

Ma,

Feng,

Chang

2023

Sustainable Development

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With the high incidence of extreme events, it is important to examine how the occurrence of natural disasters influences long‐term sustainable development. We give evidence from the changing process of innovation. Using data from OECD countries from 1985 to 2018, we conclude that environmental threats from the occurrence of natural disasters drive countries to pay more attention to sustainable development and promote the change of innovation type from traditional to green innovation. Moreover, for different types of natural disasters, volcanic activities, landslides, and floods show a positive influence, while epidemics dampen it. Based on the sub‐sample analysis, this impact is more pronounced in countries with high levels of economic development, oil exports and right‐wing parties in power. Furthermore, renewable energy consumption acts as a positive moderator, while the moderating effects of government efficiency, corruption and globalization are inhibiting. Our paper provides new insights into natural disaster economics and sustainable development.

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Natural Disasters and Growth: Going Beyond the Averages

Cited by 499 publications

References 47 publications

Country logistics performance and disaster impact

Country logistics performance and disaster impact

Disaster Assessment and Mitigation Planning: A Humanitarian Logistics Based Approach

From traditional innovation to green innovation: How an occurrence of natural disasters influences sustainable development?

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