Assessment of the Regional Vulnerability to Natural Disasters in China Based on DEA Model

Lihui Wu, Da Ma () and Jinling Li
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Lihui Wu: School of Economics and Management, Hubei University of Education, Wuhan 430205, China
Da Ma: School of Economics and Management, Hubei University of Education, Wuhan 430205, China
Jinling Li: School of Economics and Management, Hubei University of Education, Wuhan 430205, China

Sustainability, 2023, vol. 15, issue 14, 1-12

Abstract: China is a country highly vulnerable to natural disasters, resulting in significant losses in terms of human casualties, injuries, property damage, economic losses, infrastructure destruction, and so on each year. We propose a conceptual model based on the Data Envelopment Analysis model to evaluate regional vulnerability in mainland China using the annual data of Chinese official statistics from 2006 to 2021. The proposed model includes five input variables: regional total population, per capita GDP, population density, GDP per square kilometer, and regional total fixed investment in water conservancy, environment, and public facilities management. Additionally, it incorporates two output variables: affected people and direct economic loss. The results indicate that the vulnerability level generally decreases from West China through Central China to East China. Based on the new classification method proposed in this study, the regions are divided into five areas. These findings can serve as a reference for policymakers in enhancing disaster planning and improving the efficiency of natural disaster prevention.

Keywords: natural disasters; regional vulnerability; vulnerability assessment; DEA model; mainland China (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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