Assessing climate vulnerability in China's industrial supply chains: A multi-region network analysis approach

Li, Q; Shi, X; Wang, Q

Assessing climate vulnerability in China's industrial supply chains: A multi-region network analysis approach

Li, Q Shi, X

Wang, Q

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Publisher:: ELSEVIER SCI LTD
Publication Type:: Journal Article
Citation:: Journal of Cleaner Production, 2025, 490
Issue Date:: 2025-01-20

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Field	Value	Language
dc.contributor.author	Li, Q
dc.contributor.author	Shi, X https://orcid.org/0000-0001-9653-7395
dc.contributor.author	Wang, Q
dc.date.accessioned	2025-08-06T03:53:45Z
dc.date.available	2025-08-06T03:53:45Z
dc.date.issued	2025-01-20
dc.identifier.citation	Journal of Cleaner Production, 2025, 490
dc.identifier.issn	0959-6526
dc.identifier.issn	1879-1786
dc.identifier.uri	http://hdl.handle.net/10453/189127
dc.description.abstract	The extreme weather caused by climate change can easily impact the supply chain network (SCN) of industrial sectors, and its direct effects can spread along the SCN to other regions, thereby indirectly affecting the normal production and transactions of industrial products. This study integrates multi-region input-output analysis (MRIO), complex network analysis, and the technique for order preference by similarity to an ideal solution based on entropy weight method (TOPSIS-Entropy) to systematically assess the climate vulnerability of industrial sectors in 31 provinces of China from the perspective of SCN. The results reveal that, in resource-intensive industrial sectors, provinces exerting significant influence on SCN are mainly those rich in natural resources or those achieving economic development despite a lack of resources. These provinces exhibit relatively high climate change vulnerability index (CCVI). In contrast, for manufacturing sectors, the influential provinces on the SCN are primarily those with robust economic growth and substantial trade flows. These provinces display relatively high CCVI. Based on these findings, provinces should develop climate change management plans for industrial supply chains, implement demand-driven inventory strategies in resource-scarce areas, create collaborative platforms to enhance supply chain reliability, and establish mitigation measures for key manufacturing and resource-exporting provinces to manage risks and minimize the impacts of climate change effectively.
dc.language	English
dc.publisher	ELSEVIER SCI LTD
dc.relation.ispartof	Journal of Cleaner Production
dc.relation.isbasedon	10.1016/j.jclepro.2025.144718
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0907 Environmental Engineering, 0910 Manufacturing Engineering, 0915 Interdisciplinary Engineering
dc.subject.classification	Environmental Sciences
dc.subject.classification	33 Built environment and design
dc.subject.classification	40 Engineering
dc.title	Assessing climate vulnerability in China's industrial supply chains: A multi-region network analysis approach
dc.type	Journal Article
utslib.citation.volume	490
utslib.for	0907 Environmental Engineering
utslib.for	0910 Manufacturing Engineering
utslib.for	0915 Interdisciplinary Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/DVC (International)
pubs.organisational-group	University of Technology Sydney/DVC (International)/Australia-China Relations Institute
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2025-08-06T03:53:35Z
pubs.publication-status	Published
pubs.volume	490

Abstract:

The extreme weather caused by climate change can easily impact the supply chain network (SCN) of industrial sectors, and its direct effects can spread along the SCN to other regions, thereby indirectly affecting the normal production and transactions of industrial products. This study integrates multi-region input-output analysis (MRIO), complex network analysis, and the technique for order preference by similarity to an ideal solution based on entropy weight method (TOPSIS-Entropy) to systematically assess the climate vulnerability of industrial sectors in 31 provinces of China from the perspective of SCN. The results reveal that, in resource-intensive industrial sectors, provinces exerting significant influence on SCN are mainly those rich in natural resources or those achieving economic development despite a lack of resources. These provinces exhibit relatively high climate change vulnerability index (CCVI). In contrast, for manufacturing sectors, the influential provinces on the SCN are primarily those with robust economic growth and substantial trade flows. These provinces display relatively high CCVI. Based on these findings, provinces should develop climate change management plans for industrial supply chains, implement demand-driven inventory strategies in resource-scarce areas, create collaborative platforms to enhance supply chain reliability, and establish mitigation measures for key manufacturing and resource-exporting provinces to manage risks and minimize the impacts of climate change effectively.

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http://hdl.handle.net/10453/189127