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Article: Assessing resilience of sustainability to climate change in China's cities

TitleAssessing resilience of sustainability to climate change in China's cities
Authors
KeywordsChina's cities
Climate change
Resilience
Sustainability
Issue Date2-Oct-2023
PublisherElsevier
Citation
Science of the Total Environment, 2023, v. 898 How to Cite?
Abstract

Achieving sustainability and coping with climate change are the greatest challenges to human survival and harmonious human-nature relationship. However, there is a lack of research on quantifying the resilience of sustainability to climate change over space and time. Here, a quantification method was developed to evaluate resilient performance of sustainability (includes economic, social, and environmental sub-resilient performance and resilient performance index) to climate change, and performed the first demonstration in China's 280 cities. It was found that resilient performance index of China's sustainability to climate change improved from 2005 to 2017, especially in Southwest China, but 6.8 % of cities showed a decreasing trend. With the improvement of the resilient performance index, the synergy degree among economic, social, and environmental sub-resilient performance scores increased. Economic development and sustainability improvement related to a higher but more disparity of the resilient performance index. This study encourages researchers and policymakers worldwide to focus on resilience of sustainability to climate change to help achieve sustained development and prosperity under climate change.


Persistent Identifierhttp://hdl.handle.net/10722/340447
ISSN
2023 Impact Factor: 8.2
2023 SCImago Journal Rankings: 1.998
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhao, Rui-
dc.contributor.authorLi, Xia-
dc.contributor.authorWang, Ying-
dc.contributor.authorXu, Zhenci-
dc.contributor.authorXiong, Meiyu-
dc.contributor.authorJia, Qian-
dc.contributor.authorLi, Fengting -
dc.date.accessioned2024-03-11T10:44:43Z-
dc.date.available2024-03-11T10:44:43Z-
dc.date.issued2023-10-02-
dc.identifier.citationScience of the Total Environment, 2023, v. 898-
dc.identifier.issn0048-9697-
dc.identifier.urihttp://hdl.handle.net/10722/340447-
dc.description.abstract<p>Achieving sustainability and coping with climate change are the greatest challenges to human survival and harmonious human-nature relationship. However, there is a lack of research on quantifying the resilience of sustainability to climate change over space and time. Here, a quantification method was developed to evaluate resilient performance of sustainability (includes economic, social, and environmental sub-resilient performance and resilient performance index) to climate change, and performed the first demonstration in China's 280 cities. It was found that resilient performance index of China's sustainability to climate change improved from 2005 to 2017, especially in Southwest China, but 6.8 % of cities showed a decreasing trend. With the improvement of the resilient performance index, the synergy degree among economic, social, and environmental sub-resilient performance scores increased. Economic development and sustainability improvement related to a higher but more disparity of the resilient performance index. This study encourages researchers and policymakers worldwide to focus on resilience of sustainability to climate change to help achieve sustained development and prosperity under climate change.</p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofScience of the Total Environment-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectChina's cities-
dc.subjectClimate change-
dc.subjectResilience-
dc.subjectSustainability-
dc.titleAssessing resilience of sustainability to climate change in China's cities -
dc.typeArticle-
dc.identifier.doi10.1016/j.scitotenv.2023.165568-
dc.identifier.scopuseid_2-s2.0-85165414066-
dc.identifier.volume898-
dc.identifier.eissn1879-1026-
dc.identifier.isiWOS:001051260900001-
dc.identifier.issnl0048-9697-

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