首页> 外文期刊>Natural hazards and earth system sciences >Assessment of the ripple effects and spatial heterogeneity of total losses in the capital of China after a great catastrophic shock
【24h】

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

机译:在灾难性震荡造成巨大灾难之后,评估中国资本总损失的涟漪效应和空间异质性

获取原文
获取原文并翻译 | 示例
           

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部的经济发展水平不同,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(2008 WCE)在北京造成的行业损失,利用自适应区域投入输出(ARIO)模型和区域间涟漪效果(IRRE)模型。目的是评估间接经济损失和间接经济损失的涟漪效应直接和间接经济损失,以中国最小的行政区划规模(街道,村庄和城镇)。结果表明,北京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街的朝阳区遭受了最大的影响,这是其直接经济损失的1.46倍。在2008 - 2014年期间,灾难的平均GDP(国内生产总值)增长率下降了3.63%。与GDP增长率目标的8%相比,GDP增长率的降低是一个显着且明显的经济影响,并且可以通过增加救援工作,并通过支持位于严重受损地区的行业来有效地减轻。

著录项

  • 来源
  • 作者单位

    Beijing Normal Univ Fac Geog Sci State Key Lab Earth Surface Processes &

    Resource Beijing 100875 Peoples R China;

    Beijing Normal Univ Fac Geog Sci State Key Lab Earth Surface Processes &

    Resource Beijing 100875 Peoples R China;

    Peking Univ Sch Adv Agr Sci China Ctr Agr Policy No 5 Yiheyuan Rd Beijing 100871 Peoples R China;

    Chinese Acad Sci Inst Sci &

    Dev Beijing 100190 Peoples R China;

    Beijing Normal Univ Fac Geog Sci State Key Lab Earth Surface Processes &

    Resource Beijing 100875 Peoples R China;

    Beijing Normal Univ Fac Geog Sci State Key Lab Earth Surface Processes &

    Resource Beijing 100875 Peoples R China;

    Beijing Normal Univ Fac Geog Sci State Key Lab Earth Surface Processes &

    Resource Beijing 100875 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地球物理学;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号