Economics

Despite 30 years of study, international development policy appears to be little closer to generating protection to vulnerable people from the preventable losses of disaster. Part of the reason for a lack of progress has been the sidelining of disaster in development studies. Disaster events have been seen as exceptional and allowed to fall outside the mainstream of development theory. In this paper we set out and use a framework that allows a more holistic accounting for the macro-economic impacts of disaster, and is a step towards a deeper integration of disasters and development.

We examine the impact of natural disasters on annual output growth in Vietnam. Using provincial data for primary and secondary industries, we employ the Blundell-Bond General Method of Moments procedure to estimate the impact of disasters on the macroeconomy. We show that more lethal disasters result in lower output growth but that disasters that destroy more property and capital actually appear to boost the economy in the short-run. This is consistent with the 'investment-producing destruction' hypothesis that we outline.

Analyzing economic impacts of disasters has attracted interest from a wide audience in recent years, not only because of the frequent occurrence of large natural disasters worldwide but also because of the spread of terrorism to a global scale. This paper reviews past modeling studies for economic impact analysis of disasters, focusing especially on the input–output model and related modeling frameworks, such as the social accounting matrix and the computable general equilibrium model.

Does the choice of exchange rate regime affect an economy's adjustment to real shocks? Exploiting the unpredictability and economic exogeniety of windstorms-hurricanes and typhoons-and earthquakes this paper assesses the often contrasting answers found in the theoretical literature. There is robust evidence that exchange rate flexibility helps an economy better adjust to real shocks.

By combining new archival and existing data, this article provides estimates of the economic impact of the 1755 Lisbon earthquake, the largest natural catastrophe ever recorded in Europe. The direct cost of the earthquake is estimated to be between 32 and 48 percent of the Portuguese GDP. In spite of strict controls, prices and wages remained volatile in the years after the tragedy. The recovery from the earthquake also led to a rise in the wage premium of construction workers.

Many of the most destructive natural disasters of the past few decades occurred in ASEAN or other Pacific Rim countries. Even without these catastrophic infrequent events, some ASEAN members are buffeted by repeated and very frequent natural disasters; and many are very vulnerable to future disasters associated with the changing climate.

We use the case of the macroeconomic impact of natural disasters to analyze strengths and weaknesses of meta-analysis in an emerging research field. Macroeconomists have published on this issue since 2002 (we identified 60 studies to date). The results of the studies are contradictory and therefore the need to synthesize the available research is evident. Meta-analysis is a useful method in this field. An important aim of our article is to show how one can use the identified methodological characteristics to better understand the robustness and importance of new findings.

We estimate and quantify the fiscal consequences of natural disasters using quarterly fiscal data for a large panel of countries. In our estimations, we employ a panel vector autoregression framework that also controls for the business cycle. In developed countries, we find fiscal behavior in the aftermath of disasters that can best be characterized as counter-cyclical. In contrast, we find pro-cyclical decreased spending and increasing revenues in developing countries following large natural catastrophes.

The long-term impacts of disasters are hidden as it becomes increasingly difficult over time to attribute them to a singular event. We use a synthetic control methodology, formalized in Abadie, A. et al. (2010), Synthetic control methods for comparative case studies: estimating the effect of California's tobacco control program, Journal of the American Statistical Association 105(490): 493-505, to estimate the long-term impacts of a 1992 hurricane on the Hawaiian island of Kauai.

This paper examines the dynamic links between government budgets (government expenditures and revenues), natural disaster, and three key macroeconomic indicators; economic growth, inflation rate, and government debt. By studying the annual data for high- and middle-income countries over 1990–2013 and employing a panel vector autoregressive model for detecting Granger causality, we find that there is a big correlation between these variables, including unidirectional causality between natural disasters and government debt.