Abstract
© 2018 The Author(s).The existence of multiple disaster-hit regions with spatially heterogeneous economic structures is vital to the investigation of the spatial ripple effects of disaster disturbances in the interregional supply-demand chain. We employed the inter-regional input-output (IRIO) model to modify the adaptive regional inputoutput model (ARIO) and reproduce indirect economic losses (IELs) after the Bohai Sea ice disaster event in the mainland of China. The results showed that the total IEL in China comprised 38% of the direct economic loss. The disaster area (the Bohai Rim region) lost 1460.55 million CNY, and other provinces were burdened with 49% of the total IEL. Agricultural services absorbed 44% of the total IEL in China. Furthermore, lingering effects of the disaster were detected in non-disaster areas ~5-10 months after the removal of the spatial ripple effect compared with the disaster areas. Finally, the difference in total IEL in China caused by spatial heterogeneity in the supply-demand chain was ~46.8%. Our findings suggest that the spatial ripple effect and the spatial heterogeneity of economic structures play an important role in the extent of disaster impacts on inter-regional economic systems.
Original language | English |
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Pages (from-to) | 986-1005 |
Journal | Geomatics, Natural Hazards and Risk |
Volume | 9 |
Issue number | 1 |
DOIs | |
Publication status | Published - 29 Sept 2018 |
Externally published | Yes |
Funding
This work was supported by the National Natural Science Foundation of China [grant number 41571492], and The National Key Research and Development Program of China [grant number 2016YFA0602403].
Funders | Funder number |
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National Natural Science Foundation of China | 41571492 |
National Basic Research Program of China (973 Program) | 2016YFA0602403 |