Adaptive management of the climate change problem: bridging the gap between research and public policy

There are important differences between adaptation to normal climate and adaptation to climate change. One scientific community is organized to address extreme probabilities in current distributions, and their disaster potential. Another scientific community addresses the longer-term changes in the climate system. There are important differences between natural hazard (extreme and unpredictable events) and disaster as natural hazard with disastrous economic and social consequences as a matter of enormous concern. Finally, disaster management means a forecast for the real disaster events and after these disasters occurred, a post disaster attitude is necessary to ameliorate the situation and to take measures for rapid recovery. In this paper the author tries to address the description, understanding and prediction of extreme events in the weather system and their impact across a range of natural and socio-economic phenomena. Other goals of the paper are to present the weather and climate characteristics, the statistics of extreme events and to evaluate their impact on economy. Thus one major task of the work is to address the management of natural disasters caused by weather: the management of event forecast, risk assessment for various regions, and disaster management after the event occur. At the intersection between Economics, Management and Science of Weather Processes, this interdisciplinary study will provide the reader with insight and tools to address contemporary climate and weather hazard management problems.weather disasters, natural hazard, human vulnerability, extreme events, statistics and impact, management of event forecast, regional risk assessment, post disaster management

Impact estimation of disasters : a global aggregate for 1960 to 2007

This paper aims to estimate the global aggregate of disaster impacts during 1960 to 2007 using Social Accounting Matrix (SAM) methodology. The authors selected 184 major disasters in terms of the size of economic damages, based on the data available from the International Emergency Disasters and MunichRe (NatCat) databases for natural catastrophes. They estimate the losses and total impacts including the higher-order effects of these disasters using social accounting matrices constructed for this study. Although the aggregate damages based on the data amount to US$742 billion, the aggregate losses and total impacts are estimated at US$360 billion and US$678 billion, respectively. The results show a growing trend of economic impacts over time in absolute value. However, once the data and estimates are normalized using global gross domestic product, the historical trend of total impacts becomes statistically insignificant. The visual observation confirms the inverted ‘U’ curve distribution between total impact and income level, while statistical analyses indicate negative linear relationships between them for climatological, geophysical, and especially hydrological events.Natural Disasters,Hazard Risk Management,Disaster Management,Economic Theory&Research,Pollution Management&Control

Natural Disasters and Agriculture: Individual Risk Preferences towards Flooding

This study contributes to the understanding of behavioural responses to climate change induced extreme weather events. It suggest a microeconometric method for measuring flooding related risk preferences of affected individuals. The method is outlined using the empirical case of agricultural production in floodplains of the UK over 28 years. A quasi-experimental approach to measure differences in the risk attitudes of farmers located in high flooding risk areas versus farmers located in low flooding risk areas is followed. Changes in flooding risk related behaviour over time is analysed and marginal effects of different individual and disaster related characteristics for this behaviour are investigated. Beside a moments based risk estimation approach the study also applies a dynamic panel estimator. The estimates suggest that the average farmer located in a high flooding risk area is prepared to pay about 6% more of his profit for insuring against the higher risk of flooding compared to farmers in low flooding risk areas. The significance of considering individual risk preferences for an efficient flood policy design is discussed using the example of voluntary agreements for the maintainance of flood defences. Die folgende Studie untersucht individuelle Verhaltensänderungen im Hinblick auf Klima induzierte extreme Wetterereignisse. Es wird eine mikroökonometrische Methode zur Messung Flutungsbedingter Risikopräferenzen vorgeschlagen. Die Methode wird exemplarisch am Fall landwirtschaftlicher Produktion in England für einen Zeitraum von 28 Jahren aufgezeigt. Es wird ein quasi-experimenteller Ansatz verfolgt um Unterschiede in den Risikopräferenzen von Landwirten in Gebieten mit geringem Flutungsrisiko und solchen in Gebieten mit hohem Flutungsrisiko zu untersuchen. Änderungen in Flutungsrisiko bezogenem Verhalten im Zeitablauf sowie die marginalen Effekte verschiedener Charakteristiken und Faktoren werden beleuchtet. Neben einem ‚moments based‘ Schätzansatz wird ebenso ein dynamischer Panel Schätzer verwandt.Extreme Events, Risk, Agriculture, Natural Experiments, Behavioural Adaptation, Extreme Ereignisse, Risiko, Landwirtschaft, Natürliche Experimente, Verhaltensadaption, Agribusiness, Agricultural and Food Policy, Q12, C54,

Public sector corruption and the probability of technological disasters

A growing number of studies have explored the influence of institution on the outcomes of disasters and accidents from the viewpoint of political economy. This paper focuses on the probability of the occurrence of disasters rather than disaster outcomes. Using panel data from 98 countries, this paper examines how public sector corruption is associated with the probability of technological disasters. It was found that public sector corruption raises the probability of technological disasters. This result is robust when endogeneity bias is controlled.Corruption, Institution, Disasters, Risk

Large-Scale Disasters and the Insurance Industry

We investigate the impact of the 20 largest – in terms of insured losses – man-made or natural disasters on various insurance industry stock indices. We show via an event study that insurance sectors worldwide are quite resilient, in a market–value sense, to unexpected losses to capital: our data provide evidence that equity market investors believe that insurance companies will on average be able to make losses back over the foreseeable future, i.e. that the adverse shocks to equity which have resulted from these catastrophes will be compensated by either an outward shift of the demand curve or an ability to raise premiums, or both.disaster, insurance industry, event-study

The economics of hydro-meteorological disasters: approaching the estimation of the total costs

21 p.Hydro-meteorological disasters have caused increasing losses in recent years. Efficient risk reduction policies require accurate assessment approaches, with careful consideration of costs, beyond direct tangible costs, which are commonly used in practice. Faced with possible risk reduction scenarios, limited financial resources require an improvement in the quality of cost estimation, thereby contributing to an efficient allocation of resources. This paper focuses on the concept of total costs of hydro-meteorological disasters, based on direct and indirect as well as tangible and intangible cost categories. These categories are defined and explained, supported by a comprehensive review of economic valuation methods. Based on this information, practice relevant suggestions are made concerning the most appropriate methods for different cases in terms of scale, availability of data and of technical resources. Our survey also provides critical insights to drawbacks of flood risk estimation, which need to be addressed and carefully dealt with in any future research in this area

Climate change and disaster impact reduction

Based on papers presented at the 'UK - South Asia Young Scientists and Practitioners Seminar on Climate Change and Disaster Impact Reduction' held at Kathmandu, Nepal on 5-6 June, 2008

The Extreme Risk of Personal Data Breaches & The Erosion of Privacy

Personal data breaches from organisations, enabling mass identity fraud, constitute an \emph{extreme risk}. This risk worsens daily as an ever-growing amount of personal data are stored by organisations and on-line, and the attack surface surrounding this data becomes larger and harder to secure. Further, breached information is distributed and accumulates in the hands of cyber criminals, thus driving a cumulative erosion of privacy. Statistical modeling of breach data from 2000 through 2015 provides insights into this risk: A current maximum breach size of about 200 million is detected, and is expected to grow by fifty percent over the next five years. The breach sizes are found to be well modeled by an \emph{extremely heavy tailed} truncated Pareto distribution, with tail exponent parameter decreasing linearly from 0.57 in 2007 to 0.37 in 2015. With this current model, given a breach contains above fifty thousand items, there is a ten percent probability of exceeding ten million. A size effect is unearthed where both the frequency and severity of breaches scale with organisation size like $s^{0.6}$. Projections indicate that the total amount of breached information is expected to double from two to four billion items within the next five years, eclipsing the population of users of the Internet. This massive and uncontrolled dissemination of personal identities raises fundamental concerns about privacy.Comment: 16 pages, 3 sets of figures, and 4 table