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dc.contributor.authorSharif, Arshian
dc.contributor.authorDogan, Eyup
dc.contributor.authorAman, Ameenullah
dc.contributor.authorKhan, Hafizah Hammad Ahmad
dc.contributor.authorZaighum, Isma
dc.date.accessioned2021-01-28T08:21:07Z
dc.date.available2021-01-28T08:21:07Z
dc.date.issued2020en_US
dc.identifier.issn0921-030X
dc.identifier.issn1573-0840
dc.identifier.urihttps://doi.org/10.1007/s11069-020-04100-x
dc.identifier.urihttps://hdl.handle.net/20.500.12573/515
dc.description.abstractThe increasing trend of economic and political crises in different parts of the world has made global economies highly vulnerable because of having globally as well as regionally integrated economic systems. In such an environment, switching to alternative energy products, such as renewable energy production, may be devastating. Therefore, the aim of this paper is to provide novel insights for the relationship between rare disaster risks and renewable energy production (REN) of the USA by utilizing the time series monthly data from 1973 to 2016. Using time-varying continuous wavelet power spectrum, the wavelet coherence, and the modified bootstrap rolling-window analysis, the results reveal significant linkages between all the categories of rare disaster risks and renewable energy production. Rare disaster risks and REN are linked with each other, and both the variables have time-varying cyclic and anti-cyclic effects on each other with robust and significant predictability from rare disasters to REN. These findings have novel implications for many stakeholders. For instance, producers of energy may safely switch to renewable energy production since disasters are found to have potential to leave cyclic effect on renewable energy at most.en_US
dc.language.isoengen_US
dc.publisherSPRINGER, ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATESen_US
dc.relation.isversionof10.1007/s11069-020-04100-xen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectRolling-window analysisen_US
dc.subjectWavelet transformationen_US
dc.subjectRenewable energy productionen_US
dc.subjectRare disasteren_US
dc.titleRare disaster and renewable energy in the USA: new insights from wavelet coherence and rolling-window analysisen_US
dc.typearticleen_US
dc.contributor.departmentAGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümüen_US
dc.contributor.authorID0000-0002-1155-4151en_US
dc.identifier.volumeVolume: 103en_US
dc.identifier.issue3en_US
dc.identifier.startpage2731en_US
dc.identifier.endpage2755en_US
dc.relation.journalNATURAL HAZARDSen_US
dc.relation.publicationcategoryMakale - Uluslararası - Editör Denetimli Dergien_US


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