• Progress in Geography
  • Vol. 39, Issue 3, 420 (2020)
Siyu NING1、1, Jing HUANG1、1, Zhiqiang WANG1、1, and Huimin WANG1、1、2、2、*
Author Affiliations
  • 1.Management Science Institute, Hohai University, Nanjing 211100, China
  • 1.河海大学管理科学研究所,南京 211100
  • 2.State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
  • 2.河海大学水文水资源与水利工程科学国家重点实验室,南京 210098
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    DOI: 10.18306/dlkxjz.2020.03.007 Cite this Article
    Siyu NING, Jing HUANG, Zhiqiang WANG, Huimin WANG. Indirect economic losses of flood disaster based on an input-output model: A case study of Hubei Province[J]. Progress in Geography, 2020, 39(3): 420 Copy Citation Text show less

    Abstract

    Flood disasters cause both direct and indirect economic losses to industrial systems, and indirect economic losses may be much higher than direct economic losses. Studying indirect economic losses is of great significance for disaster risk reduction. Based on the input-output model, this study used the direct economic loss data of flood disasters in Hubei Province in 2016 to evaluate indirect economic losses under different flood water depth, from the perspective of sectorial interconnectedness. The results show that: 1) With the increase of flood water depth, direct economic losses and indirect economic losses increase accordingly. 2) For most industrial sectors, indirect economic losses caused by industrial interconnectedness are higher than direct economic losses. However, when flood water depth is shallow, some industrial sectors with more intensive fixed assets are more affected by flood disasters, resulting in higher direct economic losses. 3) The total indirect economic losses show a nonlinear relationship with the total direct economic losses, but with the same trend. When the flood water depth is greater than 2.093 m, indirect economic losses are about 1.15 times of direct economic losses.
    Siyu NING, Jing HUANG, Zhiqiang WANG, Huimin WANG. Indirect economic losses of flood disaster based on an input-output model: A case study of Hubei Province[J]. Progress in Geography, 2020, 39(3): 420
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