Methodologies For Estimating The Economic Impacts Of Natural Disasters

This book outlines methodologies to estimate the economic impacts of natural disasters based on business surveys conducted after large disasters in Japan. By including numerous observations on business activities in past disasters and the validations of both engineering and economic models based on these data sets, this book appeals to practitioners who estimate the regional economic impacts as well as to students and young professionals in various fields who conduct disaster impact studies. The book consists of 7 chapters and includes theories and practices, which help readers to interlink the estimation methods with real-world problems. The study primarily focuses on cases in Japan, but the methods employed can be generalized and applied in other countries.

Since the turn of the millennium, more than one million people have been killed and 2.3 billion others have been directly affected by natural disasters around the world. In cases like the 2010 Haiti earthquake or the 2004 Indian Ocean tsunami, these disasters have time and time again wrecked large populations and national infrastructures. While recognizing that improved rescue, evacuation, and disease control are crucial to reducing the effects of natural disasters, in the final analysis, poverty remains the main risk factor determining the long-term impact of natural hazards. Furthermore, natural disasters have themselves a tremendous impact on the poorest of the poor, who are often ill-prepared to deal with natural hazards and for whom a hurricane, an earthquake, or a drought can mean a permanent submersion in poverty. The Economic Impacts of Natural Disasters focuses on these concerns for poverty and vulnerability. Written by a collection of esteemed scholars in disaster management and sustainable development, the report provides an overview of the general trends in natural disasters and their effects by focusing on a critical analysis of different methodologies used to assess the economic impact of natural disasters. Economic Impacts presents six national case studies (Bangladesh, Vietnam, India, Nicaragua, Japan and the Netherlands) and shows how household surveys and country-level macroeconomic data can analyze and quantify the economic impact of disasters. The researchers within Economic Impacts have created path-breaking work and have opened new avenues for thinking and debate to push forward the frontiers of knowledge on economics of natural disasters.

This book uses cutting-edge methods, such as big data mining methods on social media, generalized difference in difference, inoperational input–output models, improved data envelopment analysis, improved computable general equilibrium and others to calculate the economic impacts of climate and environmental disasters on China. This book provides the ideas, methods and cases of the redistribution of air pollution emissions in China through evaluating the benefits of meteorological disaster services and meteorological financial insurance. Using big data resources and data mining methods, as well as econometric models, etc., this book provides a comprehensive assessment of the economic impact of disasters in China and studies China's counterpart aid policy and international aid policy for disasters. This book is an academic monograph devoted to the China’s case study. The intended readership includes academics, government officials, graduate students and people concerned about China.

Evaluating the myriad dimensions of how disasters can affect economic activity and decision-making, this cutting-edge Handbook presents a timely analysis of the conditions that reduce or exacerbate disaster impacts. Addressing developments in research on disaster economics, internationally recognized scholars combine theoretical considerations with empirical methods to expand and improve the field of disaster mitigation.

This study develops a methodology for rapidly obtaining approximate estimates of the economic consequences from numerous natural, man-made and technological threats. This software tool is intended for use by various decision makers and analysts to obtain estimates rapidly. It is programmed in Excel and Visual Basic for Applications (VBA) to facilitate its use. This tool is called E-CAT (Economic Consequence Analysis Tool) and accounts for the cumulative direct and indirect impacts (including resilience and behavioral factors that significantly affect base estimates) on the U.S. economy. E-CAT is intended to be a major step toward advancing the current state of economic consequence analysis (ECA) and also contributing to and developing interest in further research into complex but rapid turnaround approaches. The essence of the methodology involves running numerous simulations in a computable general equilibrium (CGE) model for each threat, yielding synthetic data for the estimation of a single regression equation based on the identification of key explanatory variables (threat characteristics and background conditions). This transforms the results of a complex model, which is beyond the reach of most users, into a "reduced form" model that is readily comprehensible. Functionality has been built into E-CAT so that its users can switch various consequence categories on and off in order to create customized profiles of economic consequences of numerous risk events. E-CAT incorporates uncertainty on both the input and output side in the course of the analysis.

Economic Effects of Natural Disasters explores how natural disasters affect sources of economic growth and development. Using theoretical econometrics and real-world data, and drawing on advances in climate change economics, the book shows scholars and researchers how to use various research methods and techniques to investigate and respond to natural disasters. No other book presents empirical frameworks for the evaluation of the quality of macroeconomic research practice with a focus on climate change and natural disasters. Because many of these subjects are so large, different regions of the world use different approaches, hence this resource presents tailored economic applications and evidence. Connects economic theories and empirical work in climate change to natural disaster research Shows how advances in climate change and natural disaster research can be implemented in micro- and macroeconomic simulation models Addresses structural changes in countries afflicted by climate change and natural disasters

We in the United States have almost come to accept natural disasters as part of our nation's social fabric. News of property damage, economic and social disruption, and injuries follow earthquakes, fires, floods and hurricanes. Surprisingly, however, the total losses that follow these natural disasters are not consistently calculated. We have no formal system in either the public or private sector for compiling this information. The National Academies recommends what types of data should be assembled and tracked.

Worldwide, millions of people are displaced annually because of natural or industrial disasters or social upheaval. Reliable data on the numbers, characteristics, and locations of these populations can bolster humanitarian relief efforts and recovery programs. Using sound methods for estimating population numbers and characteristics is important for both industrialized and developing nations. Ensuring that the data are geographically referenced for projection onto maps is essential. However, good data alone are insufficient. Adequate staff training and strong organizational and political desire to maintain and use the information are also required. Tools and Methods for Estimating Populations at Risk from Natural Disasters and Complex Humanitarian Crises, reviews the main methods and tools for making estimates of subnational populations and makes several recommendations to improve the collection and the use of population data for emergency response and development.