Methodology for the assessment and classification of regional vulnerability to natural hazards in China: the application of a DEA model
文献类型:SCI/SSCI论文
作者 | Ma L.; Ma L. |
发表日期 | 2013 |
关键词 | Natural disasters Vulnerability DEA model Classification data envelopment analysis social vulnerability climate-change environmental hazards adaptive capacity sri-lanka efficiency adaptation management framework |
英文摘要 | This paper presents a new method for quantifying vulnerability to natural hazards in China. As an important area of vulnerability research, quantitative assessment of vulnerability has raised much focus in academia. Presently, scholars have proposed a variety of methods for quantitative assessment, which usually create an index of overall vulnerability from a suite of indicators, based on the understanding of the cause or mechanism of vulnerability. However, due to the complex nature of vulnerability, this approach caused some arguments on the indicator selection and the weight set for subindices. A data envelopment analysis-based model for the assessment of the regional vulnerability to natural disasters is presented here to improve upon the traditional methods, and a new approach for the classification of vulnerability is proposed. The vulnerability to natural hazards in China's mainland is illustrated as a case study. The result shows that the overall level of vulnerability to natural hazards in mainland China is high. The geographic pattern shows that vulnerability is highest in western China, followed by diminishing vulnerability in central China, and lowest vulnerability levels in eastern China. There is a negative correlation between the level of vulnerability and the level of regional economic development. |
出处 | Natural Hazards |
卷 | 65 |
期 | 1 |
页 | 115-134 |
收录类别 | SCI |
语种 | 英语 |
ISSN号 | 0921-030X |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/30504] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Ma L.,Ma L.. Methodology for the assessment and classification of regional vulnerability to natural hazards in China: the application of a DEA model. 2013. |
入库方式: OAI收割
来源:地理科学与资源研究所
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