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Assessment of the ripple effects and spatial heterogeneity of total losses in the capital of China after a great catastrophic shock

机译:在灾难性休克巨大灾难之后评估中国资本总损失的涟漪效应和空间异质性

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摘要

The total losses caused by natural disasters have spatial heterogeneity due to the different economic development levels inside the disaster-hit areas. This paper uses scenarios of direct economic loss to introduce the sectors' losses caused by the 2008?Wenchuan earthquake?(2008?WCE) in Beijing, utilizing the Adaptive Regional Input–Output?(ARIO) model and the Inter-regional ripple effect?(IRRE) model. The purpose is to assess the ripple effects of indirect economic loss and spatial heterogeneity of both direct and indirect economic loss at the scale of the smallest administrative divisions of China (streets, villages, and towns). The results indicate that the district of Beijing with the most severe indirect economic loss is the Chaoyang District; the finance and insurance industry?(15, see Table?1) of Chaowai Street suffers the most in the Chaoyang District, which is 1.46?times that of its direct economic loss. During?2008–2014, the average annual GDP (gross domestic product) growth rate of Beijing was decreased 3.63?% by the catastrophe. Compared with the 8?% of GDP growth rate target, the decreasing GDP growth rate is a significant and noticeable economic impact, and it can be efficiently mitigated by increasing rescue effort and by supporting the industries which are located in the seriously damaged regions.
机译:由于灾害袭击地区内的不同经济发展水平,自然灾害引起的损失具有空间异质性。本文采用了直接经济损失的情景,介绍了2008年汶川地震造成的行业损失?(2008年?WCE),利用适应性区域投入产出?(ARIO)模型和区域间涟漪效应? (IRRE)模型。目的是评估间接经济损失和在中国最小行政区划规模的直接和间接经济损失的间接经济损失和空间异质性的涟漪效应(街道,村庄和城镇)。结果表明,北京地区具有最严重的间接经济损失是朝阳区;金融和保险业?(15,见表?1)Chaowai街的朝阳区大部分地遭受了最多,这是其直接经济损失的1.46倍。在2008-2014期间,北京的平均GDP(国内生产总值)增长率下降了3.63年的灾难。与8?%的GDP增长率目标相比,降低GDP增长率是一个显着且明显的经济影响,并且可以通过增加救援努力,并通过支持位于严重受损地区的行业来有效地减轻它。

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