This paper presents several refinements in a hazard loss estimation methodology and applies it to measuring business interruption losses from utility lifeline disruptions following the Northridge Earthquake. The analysis indicates that losses are highly sensitive to business resiliency. The results are then compared with survey-based estimates in an attempt at model validation.
El Niño events from the 1970s through the 1990s caused extended droughts in Ethiopia. These droughts were followed by famine and political turmoil that resulted in radical changes of government, secession, and a massive program of population redistribution. Cartographic analysis of Ethiopian census data from 1984 and 1994 shows changes in demographic patterns. The consequences of government-imposed migration policies, whose catalyst was the climate variability caused by repeated El Niño events, were changes in the ethnic composition of certain Ethiopian regions and changes in the geographic pattern of population growth.
This paper examines the impacts of the February, 2001, Nisqually earthquake on businesses. Focusing on two hard-hit business districts in Seattle, the study investigates the extent of losses, patterns of disparities, and underlying loss factors. A conceptual framework is proposed of how business vulnerability dimensions contribute to disaster loss. Interviews were conducted with owners and managers of 107 businesses. Data were gathered on impacts, methods of finance, and disaster preparedness. Results showed that business losses were much greater than what standard statistical data would imply. Analysis found that a composite index of vulnerability—based on business sector, size, and building occupancy tenure—provides a very powerful predictor of business loss. Physical damage was a much weaker predictor of loss. Moreover, business recovery was influenced not only by characteristics of the business itself, but also by conditions in the neighborhood.
This paper examines long-term recovery outcomes of businesses impacted by major natural disasters. Data were collected via two large-scale mail surveys—one administered to Santa Cruz County, California businesses 8 years after the Loma Prieta earthquake and the other administered to businesses in South Dade County, Florida, 6 years after Hurricane Andrew. Based on the results of OLS regression models, we argue that long-term recovery experiences of businesses are affected by various factors, including the economic sector in which a business operates, its age and financial condition, and the scope of its primary market; direct and indirect disaster impacts, including physical damage, forced closure, and disruption of operations; and owner perceptions of the broader economic climate. Previous disaster experience, level of disaster preparedness, and use of external sources of aid were not found to significantly affect the long-term economic viability of businesses in the two study communities.
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