Vulnerability assessment of China's coastal cities based on DEA cross-efficiency model

Abstract

Aiming at the problem of vulnerability assessment of coastal cities in China, a comprehensive evaluation index system is established, which takes the hazard of hazard factors, the exposure of disaster-bearing bodies and disaster prevention capabilities as the input factors, and the disaster loss level as the fragile output factor. This paper proposes a coastal urban disaster vulnerability assessment method based on the confrontation, neutral and friendly three types of data envelopment analysis (DEA) cross-efficiency models, and effectively evaluates the disaster vulnerability of 24 coastal cities in China, and adopts fuzzy C-means clustering algorithm (FCM) that the 24 coastal cities' vulnerability levels are divided, and the Tobit model is also used to determine the impact level of input factors. The results show that the level of disaster vulnerability in China's coastal cities shows obvious regional characteristics, and the areas of disaster prevention and mitigation input are quite different. Cities with lower hazard factors have more emergency capital investment or lower exposure level of disaster-bearing bodies. The degree of exposure of the disaster-bearing body is related to the level of economic development and population density. The more developed the urban economy and the higher the population density, the higher the exposure level of the disaster-bearing body; the disaster prevention capability is related to the level of economic development, and the urban economy is more developed, so its disaster prevention capability is stronger. Empirical analysis provides a guidance and methodological reference for China's coastal cities to improve their ability to prevent and reduce disasters.