• Environmental and Resource Economics Review
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• v.15 no.5
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• pp.939-959
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• 2006

This paper studies the introduction of flood quota system for efficient flood prevention. In the present system where local governments decide its flood prevention independently, the optimal flood prevention in a river basin can not be achieved. Thus, the flood quota system is necessary. In deciding the flood quota for each local government in a river basin, its social and economic characteristics as well as geographical feature of the area should be considered. In order to promote the cooperation among local governments in a river basin, the flood quota is necessary to be accompanied with the trading system of the quota.

• Journal of Information Technology Applications and Management
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• v.17 no.3
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• pp.163-189
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• 2010

The purpose of this research is to develop a decision-making model for the calculation of the National Disaster Management System's standard prevention workforce quota. The final purpose of such model is to support in arranging a rationally sized prevention workforce for local authorities by providing information about its calculation in order to support an effective and efficient disaster management administration. In other words, it is to establish and develop a model that calculates the standard disaster prevention workforce quota for basic local governments in order to arrange realistically required prevention workforce. In calculating Korea's prevention workforce, it was found that the prevention investment expenses, number of prevention facilities, frequency of flood damage, number of disaster victims, prevention density, and national disaster recovery costs have positive influence on the dependent variable when the standard prevention workforce was set as the dependent variable. The model based on the regression analysis-which consists of dependent and independent variables-was classified into inland mountainous region, East coast region, Southwest coastal plain region to reflect regional characteristics for the calculation of the prevention workforce. We anticipate that the decision-making model for the standard prevention workforce quota will aid in arranging an objective and essential prevention workforce for Korea's basic local authorities.