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The purpose of this paper is to find the meaningful relationship between the economic impact of the natural disaster and economic condition.

The paper employed cross‐sectional analysis to investigate the relationship between economic condition namely, gross domestic product per capita (GDPpc); gross domestic product per capita squared (GDPpc²); government consumption ratio to GDP (gc); ratio of M2 over GDP(M2); years of schooling attainment (sc); land area and finally; population and the economic impact of natural disasters, whereby ten types of natural disasters were chosen. The degree to which the human and economic losses due to these ten natural disasters were measured by, the variables selected are, number of killed; total affected; and ratio of total damage to GDP. Three different points of time were regressed, namely, 1985, 1995, and 2005 covering 73 countries.

Results clearly indicate that there seems to be meaningful relationship between the economic impact of natural disasters and economic conditions.

The paper provides some evidence on the important role of economic condition in minimizing the impact of natural disasters.

The paper incorporates a comprehensive list of explanatory variables in accounting for natural disaster fatalities.

To provide graduate students, researchers, and responsible personnel with an overview on the disaster types worldwide in general and disaster types in Malaysia.

The types of disasters by region for the period 1988‐1997 were obtained from recent published sources. The disasters which occurred in Malaysia have been collected from several sources such as the technical, general articles, internet web sites, and internal reports. The disasters which occurred during the period of 1968‐2004 have been reviewed. The disasters have been classified into natural disasters, man‐made disasters, and subsequent disasters. The man‐made disasters have been classified into technological disasters, transportation accidents, public places failure, and production failure.

Disasters have been classified into natural, man‐made disasters. The regions worldwide have experienced all kinds of natural disasters in last decade. It was pointed out that the occurrence of disasters from almost all kinds of hazards is among the highest in Asia and the Pacific. Malaysia experienced natural, man‐made and subsequent disasters. Malaysia has experienced 39 disasters during the period of 1968‐2004. The natural disasters were 49 percent of total disasters. Most of the natural disasters were resulted from the heavy rains. Malaysia has experienced 18 man‐made disasters. The man‐made disasters resulted in 282 fatalities, and 1,892 injuries.

This paper presents an overview on the disaster types by region worldwide. The paper also presents an overview on the disaster types in Malaysia. This paper combined the scattered disasters into one record. Therefore, there is a need for an authorized body to be responsible for the collecting, arranging, classifying, and storing of all type of the accidents in Malaysia. This experience can be benefited from/at any country.

The purpose of this study is to provide the location of natural disasters that are poured into maps by extracting Twitter data. The Twitter text is extracted by using named entity recognition (NER) with six classes hierarchy location in Indonesia. Moreover, the tweet then is classified into eight classes of natural disasters using the support vector machine (SVM). Overall, the system is able to classify tweet and mapping the position of the content tweet.

This research builds a model to map the geolocation of tweet data using NER. This research uses six classes of NER which is based on region Indonesia. This data is then classified into eight classes of natural disasters using the SVM.

Experiment results demonstrate that the proposed NER with six special classes based on the regional level in Indonesia is able to map the location of the disaster based on data Twitter. The results also show good performance in geocoding such as match rate, match score and match type. Moreover, with SVM, this study can also classify tweet into eight classes of types of natural disasters specifically for the Indonesian region, which originate from the tweets collected.

This study implements in Indonesia region.

(a)NER with six classes is used to create a location classification model with StanfordNER and ArcGIS tools. The use of six location classes is based on the Indonesia regional which has the large area. Hence, it has many levels in its regional location, such as province, district/city, sub-district, village, road and place names. (b) SVM is used to classify natural disasters. Classification of types of natural disasters is divided into eight: floods, earthquakes, landslides, tsunamis, hurricanes, forest fires, droughts and volcanic eruptions.

The authors investigate natural disasters’ impact on manufacturing and services foreign direct investment (FDI), both, in contemporaneous and time-lag contexts. Manufacturing and services FDI account for different types of technology transfers, respectively, through tangible physical assets and intangible knowledge assets. This paper aims to hypothesize that natural disasters that have pronounced physical impact, have different effect on different sectoral FDI.

The authors merge a data set from emergency events database, which covers natural disasters occurrences with a sector-level data on FDI for 69 countries for the period 1980-2011, distinguishing between four different kinds of natural disasters such as meteorological, climate, hydrological and geophysical, as well as between different geographical regions.

Controlling for commonly accepted determinants of FDI, such as output growth, quality of institutions and natural resource abundance, the authors find that manufacturing FDI is negatively affected immediately after the disaster and positively in the longer run- a finding that is in unison with the “creative destruction” growth theory. Services FDI, on the other hand, do not show such pattern. Meteorological disasters have no effect on services FDI and climate and hydrological disasters have long-lasting negative effects. For both, manufacturing and services FDI, geophysical disasters have a positive impact on FDI in the long run.

The study is limited to 69 countries for the period 1980-2011.

FDI bears tangible and intangible knowledge assets and provides means of financing, even in countries with under-developed banking systems and stock markets. FDI is impacted by climate change, manifested by intensifying and increase of frequency of natural disasters.

Natural disasters destroy infrastructure and displace people. The rebuilding of infrastructure and intangible capital present an opportunity for upgrading.

This is the first study that analyzes the impact of natural disasters on sector-level FDI in a multicounty and regional context.

This research aims to explore the moderating effect of a natural disaster on the well-studied relationship between entrepreneurship-oriented beliefs (behavioral, normative, and control beliefs) and entrepreneurial intentions.

This study relies on data from the Global Entrepreneurship Monitor before and after the earthquake that took place in Chile on February 27, 2010. The study was performed by applying a multilevel hierarchical logit regression over a sample of 14,724 individuals from the six more affected regions.

The results indicate that a natural disasters shape the relationship between entrepreneurial intentions and all its three motivational antecedents, however in opposing directions. The results also suggest that a natural disaster strengthens the relationship between entrepreneurial attitudes and entrepreneurial intentions; nevertheless the effect of subjective norms becomes less relevant in shaping entrepreneurial intentions. Furthermore, the authors found that the earthquake had a positive effect on the relationship between perceived behavioral control and entrepreneurial intentions.

This study advances the emerging stream of research on the micro-level consequences of exogenous shocks and how they shape individual functioning. A key implication for policymakers wishing to facilitate the recovery phase after a natural disaster is that it is important to focus on fostering entrepreneurship by developing individuals' personal attitude and perceived control over the firm-creation behavior, rather than relying on the perceived social pressure to become an entrepreneur.

This paper explores the effect of natural disasters on the profitability and solvency of US banks.

Employing a sample of 187 large-scale natural disasters that occurred in the United States between 2000 and 2014 and a sample of 2,891 banks, we examine whether and how disaster-related damages affect various measures of bank profitability and bank solvency. We differentiate between different types of banks (with local, regional and national operations) based on a breakdown of their state-level deposits and explore the reaction of these banks to damages weighted by the GDP of the states they operate in.

We find that natural disasters have a pronounced effect on the net-income-to-assets and the net-income-to-equity ratio of banks, as well as the banks' impaired loans and return on average assets. We also observe significant effects on the equity ratio and the tier-1 capital ratio (two solvency measures). Interestingly, the latter are positive for regional banks which appear to benefit from increased customer deposits related to safekeeping, government payments for post-disaster recovery, insurance payouts and decreased withdrawals, while they are significantly negative for banks that operate locally or nationally.

We contribute to the literature by offering various new insights regarding the effects natural disasters have on financial institutions. With climate change-driven natural disasters widely expected to increase both in terms of frequency and severity, their economic fallout is likely to impose an increasing burden on financial institutions. Large, nationally operating banks tend to be well diversified both geographically and in terms of their product offerings. Small, locally operating banks, however, are increasingly at risk – particularly if they operate in disaster-prone areas. Current banking regulations generally do not factor natural disaster risks into their capital requirements. To avoid the next big financial crisis, regulators may want to adjust their reserve requirements by taking this growing risk exposure into consideration.

This chapter identifies and analyzes three systemic obstacles to American public policy addressing natural disasters: symbolic obstacles, cognitive obstacles, and structural obstacles. The way we talk about natural disaster, the way we think about the risks of building in hazardous places, and structural aspects of American political institutions all favor development over restraint. These forces have such strength that in the wake of most disasters society automatically and thoughtlessly responds by rebuilding what was damaged or destroyed, even if reconstruction perpetuates disaster vulnerability. Only by addressing each of the obstacles identified are reform efforts likely to succeed.

Natural disasters occur all around the world, in the last two decades these natural disasters have brought sever damages to the world economy. Mostly developing countries bear severe consequences due to these natural disasters. In July 2010, Pakistan faced a massive flood, which affected almost all the countries. The disaster affected all sectors like daily life, transportation, infrastructure, etc., of the country. GOP did not have enough resources to cope with this giant disaster and called for international help. Local and international NGOs participated with GOP in the early phases of recovery. Millions of dollars were given away as the initial impact of this disaster, and GOP and other relief agents have spent other million to provide initial recovery and relief. GOP will need billions of dollars further to continue recovery from the disaster of 2010.

In a largely exploratory study, the authors investigate: how do managers’ experiences with exogenous hazards (e.g., natural disaster risk) affect their identification of those hazards as salient to the firm? This analysis is based on an international survey of 575 managers across 18 disaster-prone countries. The authors examine whether and how locational hazard risk and managerial experience influence the identification of natural disaster risk as an important firm issue. The authors find that locational natural hazard risk, and direct and indirect experience with natural disasters, increases the likelihood that managers’ will identify firm-specific natural disaster risk as an important firm issue. In addition, the authors also find that managers are likely to identify natural hazards as a threat when natural hazard risk is high and when managers have experience in natural disasters that directly affected their businesses.