The risk impacts of global natural and technological disasters

IF 6.2 2区 经济学 Q1 ECONOMICS Socio-economic Planning Sciences Pub Date : 2023-08-01 DOI:10.1016/j.seps.2023.101653
Guoqiang Shen , Long Zhou , Xianwu Xue , Yu Zhou
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引用次数: 1

Abstract

This research develops an expected risk model and estimates risk impacts of single or multiple disasters in terms of human fatality, injury, affected, and economic damage for nearly 200 nations. Both natural hazards, including geophysical, meteorological, hydrological, and technological disasters, such as industrial, transport, and structural, are considered. Relevant measures of expected risk, such as standard deviation, coefficient of variance, range, and rank are also calculated to assess a country's overall risk. Social-economic-physical factors from the World Development Index developed by the United Nations (UN) are then regressed with occurrences and risks of natural and tech disasters to seek plausible associations. The results show that (1) the model performs reasonably well in fitting observed and modeled risks and risk impacts, relatively better for natural disaster and affected people and economic damage; (2) while natural disasters are far more risky than tech ones in total risk impacts; specific risks for subgroups of natural or tech disasters vary widely in magnitude and by country; (3) high natural and/or tech risks concentrate in a small number of countries, such as China, India, Bangladesh in Asia; U.S., Mexico, Canada in North America; Turkey, Russia, France, Germany in Europe, and Algeria, Egypt, and Ethiopia in Africa, which are relatively large in population, fast in development, or advanced in industrialization; yet (4) high risk deviations per unit risk impacts reveal that many small, developing, and tech backward countries need to prepare even more for both natural and tech disasters. Finally, (5) while many country-level development factors, together with disaster occurrence, are statistically significant, only some can provide weak predictability of disaster risk impacts under robust regression. The research findings provide useful risk references to countries for resilient national policies for disaster preparation, mitigation, and recovery.

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全球自然和技术灾害的风险影响
本研究开发了一个预期风险模型,并从近200个国家的人员死亡、受伤、受灾和经济损失等方面估计了单一或多重灾害的风险影响。自然灾害,包括地球物理、气象、水文和技术灾害,如工业、运输和结构,都被考虑在内。还计算了预期风险的相关度量,如标准差、方差系数、范围和排名,以评估一个国家的总体风险。然后,联合国(UN)开发的世界发展指数(World Development Index)中的社会-经济-物理因素与自然灾害和技术灾害的发生和风险进行回归,以寻求合理的关联。结果表明:(1)该模型对观测风险和模拟风险影响的拟合效果较好,对自然灾害、受灾人员和经济损失的拟合效果较好;(2)在总风险影响上,自然灾害的风险远大于技术灾害;自然灾害或技术灾害次级群体的具体风险在规模和国家方面差别很大;(3)高自然和/或技术风险集中在少数国家,如亚洲的中国、印度、孟加拉国;北美的美国、墨西哥、加拿大;欧洲的土耳其、俄罗斯、法国、德国,非洲的阿尔及利亚、埃及、埃塞俄比亚等人口较多、发展较快或工业化程度较高的国家;然而(4)单位风险影响的高风险偏差表明,许多小的、发展中国家和技术落后的国家需要为自然灾害和技术灾害做好更多准备。最后,(5)虽然许多国家层面的发展因素和灾害发生都具有统计显著性,但在稳健回归下,只有一些因素对灾害风险影响的可预测性较弱。研究结果为各国制定具有复原力的备灾、减灾和恢复国家政策提供了有益的风险参考。
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来源期刊
Socio-economic Planning Sciences
Socio-economic Planning Sciences OPERATIONS RESEARCH & MANAGEMENT SCIENCE-
CiteScore
9.40
自引率
13.10%
发文量
294
审稿时长
58 days
期刊介绍: Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry. Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution. Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.
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