Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/33372
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dc.contributor.authorHu, Zewenen_UK
dc.contributor.authorZhang, Xiaocaien_UK
dc.contributor.authorCui, Jingjingen_UK
dc.contributor.authorZhang, Lijieen_UK
dc.contributor.authorAhmed, Wasimen_UK
dc.date.accessioned2021-10-06T00:01:18Z-
dc.date.available2021-10-06T00:01:18Z-
dc.date.issued2021-07en_UK
dc.identifier.urihttp://hdl.handle.net/1893/33372-
dc.description.abstractMeteorological disasters frequently occur in China and around the world. These natural hazards can cause huge economic losses and threaten the personal safety of citizens. The public’s willingness to engage with disaster relief efforts and the degree of participation is critical to reduce the impact of such disasters. This study conducted a survey with 62,903 respondents from China. The study utilized statistical analysis and correlation analysis in order to understand the differences and similarities of the public’s willingness to take part in disaster relief across gender and age. The study found that: (1) the public’s awareness of insurance and willingness to make donations during climate disasters is low, and that more than half of the public are only willing to insure for very less money; (2) although the public has very high enthusiasm to participate in disaster relief, they are less willing to learn the basic skills of reducing disasters and for participating in training for disaster reduction as volunteers. This was especially the case for elderly citizens and females; (3) the willingness of the public to prevent and reduce disasters is high, and this was the case across various gender and age groups. Finally, the study puts forward several measures to improve the uptake of disaster relief and disaster prevention among citizens.en_UK
dc.language.isoenen_UK
dc.publisherSpringer Science and Business Media LLCen_UK
dc.relationHu Z, Zhang X, Cui J, Zhang L & Ahmed W (2021) A survey-based analysis of the public’s willingness for disaster relief in China. Natural Hazards, 107 (3), pp. 2205-2225. https://doi.org/10.1007/s11069-021-04538-7en_UK
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectMeteorological disastersen_UK
dc.subjectWillingness of disaster reliefen_UK
dc.subjectQuantitative analysisen_UK
dc.subjectDisaster preventionen_UK
dc.subjectInsurance and donationen_UK
dc.titleA survey-based analysis of the public's willingness for disaster relief in Chinaen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1007/s11069-021-04538-7en_UK
dc.citation.jtitleNatural Hazardsen_UK
dc.citation.issn1573-0840en_UK
dc.citation.issn0921-030Xen_UK
dc.citation.volume107en_UK
dc.citation.issue3en_UK
dc.citation.spage2205en_UK
dc.citation.epage2225en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderNational Natural Science Foundation of Chinaen_UK
dc.contributor.funderNational Social Science Fund of Chinaen_UK
dc.author.emailwasim.ahmed@stir.ac.uken_UK
dc.citation.date03/02/2021en_UK
dc.contributor.affiliationNanjing University of Information Science and Technologyen_UK
dc.contributor.affiliationNanjing University of Information Science and Technologyen_UK
dc.contributor.affiliationNanjing University of Information Science and Technologyen_UK
dc.contributor.affiliationNanjing University of Information Science and Technologyen_UK
dc.contributor.affiliationNewcastle Universityen_UK
dc.identifier.isiWOS:000614333700002en_UK
dc.identifier.scopusid2-s2.0-85100457069en_UK
dc.identifier.wtid1758982en_UK
dc.contributor.orcid0000-0002-9518-7204en_UK
dc.contributor.orcid0000-0001-8923-1865en_UK
dc.date.accepted2021-01-16en_UK
dcterms.dateAccepted2021-01-16en_UK
dc.date.filedepositdate2021-09-28en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorHu, Zewen|0000-0002-9518-7204en_UK
local.rioxx.authorZhang, Xiaocai|en_UK
local.rioxx.authorCui, Jingjing|en_UK
local.rioxx.authorZhang, Lijie|en_UK
local.rioxx.authorAhmed, Wasim|0000-0001-8923-1865en_UK
local.rioxx.project71603128|National Natural Science Foundation of China|en_UK
local.rioxx.project16ZDA047|National Social Science Fund of China|en_UK
local.rioxx.freetoreaddate2021-10-05en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2021-10-05|en_UK
local.rioxx.filenameHu2021_Article_ASurvey-basedAnalysisOfThePubl.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1573-0840en_UK
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