Socioeconomic development and the impact of natural disasters: some empirical evidences from China
Yang Zhou (),
Ning Li (),
Wenxiang Wu,
Haolong Liu,
Li Wang,
Guangxu Liu and
Jidong Wu
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2014, vol. 74, issue 2, 554 pages
Abstract:
Significant advancements have been made in examining the relationship between economic development and disaster losses at the global and national scales, but very little research has been done at the sub-national level, especially in China. Based on socioeconomic and disaster impact data from 31 provinces (municipalities, and autonomous regions) in China from 1990 to 2010, ordinary least squares regression was used to determine the relationship between socioeconomic development and effects of natural disasters. Results showed that economic development played a distinct role in mitigating disaster damages in the whole China and its eastern, central and western regions. There existed a U-shaped relationship between economic growth and disaster losses in the whole China and its eastern region, and an inverted-U nonlinearity linkage in its central and western areas. These findings further confirmed the existence of a nonlinear relationship between economic development and disaster losses. Economic growth had played a more important role in mitigating disaster losses in the central region of China than that in the western one. Further investigations demonstrated that as economic develops, there were fewer deaths caused by natural hazards in whole China and all its three regions. The combination of the lower level of education, higher unemployment rate and greater gross dependence ratio has contributed to the increase in death toll caused by natural disasters, but this trend could be partly offset by wealth growth. Copyright Springer Science+Business Media Dordrecht 2014
Keywords: Socioeconomic development; Natural disaster impacts; Ordinary least squares (OLS); China (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/s11069-014-1198-0
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