Assessment of Agricultural Vulnerability to Floods in Shanghai by the DEA Method

Yong Shi ()
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Yong Shi: School of Tourism Management, Zhengzhou University, No. 100 Science Avenue, Zhengzhou, Henan Province 450001, China

Chinese Journal of Urban and Environmental Studies (CJUES), 2018, vol. 06, issue 01, 1-11

Abstract: In recent years, as the international community pays increasing attention to disaster prevention and reduction, study on vulnerability has become a new focus in the science of disaster, and it gradually becomes a consideration in strategy-making for sustainable social development. Understanding of vulnerability has become a prerequisite for grasping the nature of disasters, and it is also an area where humans can make a difference in disaster prevention and mitigation. Based on historical disasters and the concepts of vulnerability, this study applies the CCR model, one of the most basic Data Envelopment Analysis (DEA) models, to analyze the pattern of variation regarding agricultural vulnerability to floods in Shanghai suburban areas. The results prove the following: chronologically, the overall vulnerability degrees of Shanghai suburbs listed in the descending order are 1991>1983>1984>1981>1985>1979>1986>1990>1980>1989>1987>1988; spatially, based on the averages recorded in 2013, the vulnerability levels of Shanghai suburban districts are Nanhui > Jinshan > Songjiang > Baoshan > Qingpu > Pudong > Jiading > Fengxian. The results are basically consistent with the fact. Based on the characteristics of each district’s vulnerability to floods, some suggestions for flood prevention and mitigation are provided. The assessment models of flood vulnerability are simple and can be used for vulnerability analysis of natural disasters at regional or national levels. The assessment method adopted in this paper contributes to a deeper understanding of agricultural vulnerability to floods in Shanghai and provides a scientific base for the decision-making of related departments.

Keywords: Shanghai; agriculture; flood; vulnerability; DEA (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S2345748118500033

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