Quantifying the spatial ripple effect of the Bohai Sea ice disaster in the winter of 2009/2010 in 31 provinces of China
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 inter-regional supply-demand chain. We employed the inter-regional input-output (IRIO) model to modify the adapt...
Published in: | Geomatics, Natural Hazards and Risk |
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Format: | Article in Journal/Newspaper |
Language: | English |
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Taylor & Francis Group
2018
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Online Access: | https://doi.org/10.1080/19475705.2018.1489312 https://doaj.org/article/f8a784fdc95e4c538847228c90cb5b95 |
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fttriple:oai:gotriple.eu:oai:doaj.org/article:f8a784fdc95e4c538847228c90cb5b95 2023-05-15T18:17:32+02:00 Quantifying the spatial ripple effect of the Bohai Sea ice disaster in the winter of 2009/2010 in 31 provinces of China Cailin Wang Jidong Wu Xin He Mengqi Ye Yu Liu 2018-01-01 https://doi.org/10.1080/19475705.2018.1489312 https://doaj.org/article/f8a784fdc95e4c538847228c90cb5b95 en eng Taylor & Francis Group 1947-5705 1947-5713 doi:10.1080/19475705.2018.1489312 https://doaj.org/article/f8a784fdc95e4c538847228c90cb5b95 undefined Geomatics, Natural Hazards & Risk, Vol 9, Iss 1, Pp 986-1005 (2018) Indirect economic losses spatial heterogeneity of economic structure adaptive regional input-output model sea ice disaster China geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2018 fttriple https://doi.org/10.1080/19475705.2018.1489312 2023-01-22T17:52:25Z 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 inter-regional supply-demand chain. We employed the inter-regional input-output (IRIO) model to modify the adaptive regional input-output 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. Article in Journal/Newspaper Sea ice Unknown Geomatics, Natural Hazards and Risk 9 1 986 1005 |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
English |
topic |
Indirect economic losses spatial heterogeneity of economic structure adaptive regional input-output model sea ice disaster China geo envir |
spellingShingle |
Indirect economic losses spatial heterogeneity of economic structure adaptive regional input-output model sea ice disaster China geo envir Cailin Wang Jidong Wu Xin He Mengqi Ye Yu Liu Quantifying the spatial ripple effect of the Bohai Sea ice disaster in the winter of 2009/2010 in 31 provinces of China |
topic_facet |
Indirect economic losses spatial heterogeneity of economic structure adaptive regional input-output model sea ice disaster China geo envir |
description |
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 inter-regional supply-demand chain. We employed the inter-regional input-output (IRIO) model to modify the adaptive regional input-output 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. |
format |
Article in Journal/Newspaper |
author |
Cailin Wang Jidong Wu Xin He Mengqi Ye Yu Liu |
author_facet |
Cailin Wang Jidong Wu Xin He Mengqi Ye Yu Liu |
author_sort |
Cailin Wang |
title |
Quantifying the spatial ripple effect of the Bohai Sea ice disaster in the winter of 2009/2010 in 31 provinces of China |
title_short |
Quantifying the spatial ripple effect of the Bohai Sea ice disaster in the winter of 2009/2010 in 31 provinces of China |
title_full |
Quantifying the spatial ripple effect of the Bohai Sea ice disaster in the winter of 2009/2010 in 31 provinces of China |
title_fullStr |
Quantifying the spatial ripple effect of the Bohai Sea ice disaster in the winter of 2009/2010 in 31 provinces of China |
title_full_unstemmed |
Quantifying the spatial ripple effect of the Bohai Sea ice disaster in the winter of 2009/2010 in 31 provinces of China |
title_sort |
quantifying the spatial ripple effect of the bohai sea ice disaster in the winter of 2009/2010 in 31 provinces of china |
publisher |
Taylor & Francis Group |
publishDate |
2018 |
url |
https://doi.org/10.1080/19475705.2018.1489312 https://doaj.org/article/f8a784fdc95e4c538847228c90cb5b95 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Geomatics, Natural Hazards & Risk, Vol 9, Iss 1, Pp 986-1005 (2018) |
op_relation |
1947-5705 1947-5713 doi:10.1080/19475705.2018.1489312 https://doaj.org/article/f8a784fdc95e4c538847228c90cb5b95 |
op_rights |
undefined |
op_doi |
https://doi.org/10.1080/19475705.2018.1489312 |
container_title |
Geomatics, Natural Hazards and Risk |
container_volume |
9 |
container_issue |
1 |
container_start_page |
986 |
op_container_end_page |
1005 |
_version_ |
1766191825018683392 |