| 基于DEA模型的我国自然灾害区域脆弱性评价 |
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| 引用本文： | 刘毅,黄建毅,马丽.基于DEA模型的我国自然灾害区域脆弱性评价[J].地理研究,2010,29(7):1153-1162. |
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| 作者姓名： | 刘毅 黄建毅 马丽 |
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| 作者单位： | 1. 中国科学院地理科学与资源研究所,北京,100101;中国科学院区域可持续发展分析与模拟重点实验室,北京,100101
2. 中国科学院地理科学与资源研究所,北京,100101;中国科学院区域可持续发展分析与模拟重点实验室,北京,100101;中国科学院研究生院,北京,100049 |
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| 基金项目： | 国家科技支撑计划项目，中国科学院知识创新工程重要方向项目 |
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| 摘 要： | 应用数据包络分析(Data Envelopment Analysis,DEA)模型对我国自然灾害的区域脆弱性水平进行研究,在区域灾害系统理论的组织框架下,从区域自然灾害危险性、区域承灾体暴露性和区域自然灾害损失度三个方面构建了区域自然灾害系统的DEA投入产出模型,并利用模型得出的区域自然灾害成灾效率对区域自然灾害的脆弱性进行模拟反映,对我国自然灾害脆弱性的区域分异特征进行分析。研究发现:我国自然灾害脆弱性的整体水平较高,地域格局为西部中部东部,且脆弱性水平与地区经济水平具有明显的负相关关系,经济发达地区的脆弱性相对较低。
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| 关 键 词： | 自然灾害 区域脆弱性 DEA模型 |
| 收稿时间： | 2010-04-18 |
| 修稿时间： | 2010-05-30 |
The assessment of regional vulnerability to natural disasters in China based on DEA model |
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| LIU Yi,HUANG Jian-yi,MA Li.The assessment of regional vulnerability to natural disasters in China based on DEA model[J].Geographical Research,2010,29(7):1153-1162. |
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| Authors: | LIU Yi HUANG Jian-yi MA Li |
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| Institution: | 1. Institute of Geographic Sciences and Natural Resource Research, CAS, Beijing 100101, China;
2. Key Laboratory of Regional Sustainable Development Modeling, CAS, Beijing 100101, China;
3. Graduate University of the Chinese Academy of Sciences,Beijing 100049,China |
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| Abstract: | As one of world's worst natural disasters inflicting countries, China is frequently suffered by the ravages of natural disasters,which have had a negative effect on people's lives and caused huge economic losses annually. Presently, the study of vulnerability has played an important part in the research on natural disasters, which emphasizes the relationship between human society and the effects of disasters, and measurement of the capability to overcome natural disasters in different regions with distinctive economy. The purpose of the vulnerability analysis is to identify appropriate actions that can be taken to reduce the potential natural disaster damages, so it is of great practical significance to study China's vulnerability to natural disasters. Traditional methods for vulnerability analysis calculate sub-indices based on disaster frequency, loss, the economic impact and the population of each region, and then use the sub-indices to obtain a composite index for regional vulnerability. However those methods has a shortcoming, which are sensitive to weight set for sub-indices and the selection of the vulnerability functions. As a result, the analytic results are less convincing, so a data envelopment analysis (DEA)-based model for analysis of regional vulnerability to natural disasters is presented here to improve the traditional methods, and data from 2001 to 2008 of China are analyzed. Under the framework of the regional natural disaster system, this paper firstly constructs an input-output DEA model for the regional disasters system from three aspects, including the danger of regional disasters, the exposure of regional soc-economy and the regional natural disaster losses, using the efficiency calculated by the DEA to imitate the regional vulnerability to natural disasters, and then it makes an analysis of the differentiation of the regional vulnerability to natural disasters. The result shows that the overall level of vulnerability to natural disasters of China is high, and the geographical pattern for vulnerability is Western Region > Central Region > Eastern Region. In addition, there is a negative correlation between the level of regional vulnerability and regional economic level, that is, the more economically developed regions has lower regional vulnerability. |
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| Keywords: | natural disasters regional vulnerability DEA model |
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