Publication

Climate Risk Assessment at Chinese Provinces: A Novel Criteria and Context Decomposition for Trade-Off Weighting (CCDTW) Approach

Wanke, P.
Tan, Yong
Publication Date
2025-07-26
End of Embargo
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Rights
(c) 2025 The Authors. This is an Open Access article distributed under the Creative Commons CC-BY license (http://creativecommons.org/licenses/by/4.0/)
Peer-Reviewed
Yes
Open Access status
openAccess
Accepted for publication
2025-07-24
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Additional title
Abstract
This paper introduces the Criteria and Context Decomposition for Trade-Off Weighting (CCDTW) methodology, a novel multi-criteria decision-making (MCDM) approach for assessing and ranking climate risks across Chinese provinces. Using a non-balanced panel dataset of 1457 observations, the CCDTW integrates QR decomposition to decorrelate climate risk criteria—extreme low and high temperatures, rainfall, and drought—and socio-economic contextual variables, capturing trade-offs and relative importance among them. Weighted trade-off coefficients are derived to construct a Climate Risk Index (CRI), which facilitates the ranking and benchmarking of provinces over time. The results reveal heterogeneous patterns of climate risk across regions, with increasing trends in extreme temperatures and rainfall in recent years. The CRI indicates that employment, power generation, and population access to natural gas are the primary drivers of climate risk, highlighting the trade-offs between economic welfare and climate mitigation. This framework provides policymakers with actionable insights to design region-specific and time-sensitive climate risk management strategies.
Version
Published version
Citation
Wanke P and Tan Y (2025) Climate Risk Assessment at Chinese Provinces: A Novel Criteria and Context Decomposition for Trade-Off Weighting (CCDTW) Approach. Journal of Environmental Management. 392: 126734.
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Type
Article
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