Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.5/29138
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dc.relation.publisherversionhttps://rem.rc.iseg.ulisboa.pt/wps/pdf/REM_WP_0295_2023.pdfpt_PT
dc.contributor.authorCevik, Serhan-
dc.contributor.authorJalles, João Tovar-
dc.date.accessioned2023-10-27T10:11:40Z-
dc.date.available2023-10-27T10:11:40Z-
dc.date.issued2023-10-
dc.identifier.citationCevik, Serhan e João Tovar Jalles (2023). "Corruption kills : global evidence from natural disasters". REM Working paper series, nº 0295/2023pt_PT
dc.identifier.issn2184-108X-
dc.identifier.urihttp://hdl.handle.net/10400.5/29138-
dc.description.abstractNatural disasters are inevitable, but humanitarian and economic losses are determined largely by policy preferences and institutional underpinnings that shape the quality of public infrastructure (including emergency responses and healthcare services) and govern business practices and the adherence to building codes. This paper investigates whether corruption increases the loss of human lives caused by natural disasters, using a broad panel of 135 countries during the period 1980–2020. The empirical analysis provides convincing evidence that corruption increases the number of disaster-related deaths, after controlling for economic, demographic, healthcare and institutional factors. That is, the higher the level of corruption in a given country, the greater the number of fatalities as a share of population due to natural disasters. Our results show that the devastating effect of corruption on loss of human lives caused by natural disasters is significantly greater in developing countries, which are even more susceptible to nonlinear effects of corruption.pt_PT
dc.language.isoengpt_PT
dc.publisherISEG - REM - Research in Economics and Mathematicspt_PT
dc.relation.ispartofseriesREM Working paper series;nº 0295/2023-
dc.rightsopenAccesspt_PT
dc.subjectCorruptionpt_PT
dc.subjectinstitutionspt_PT
dc.subjectnatural disasterspt_PT
dc.subjectfatalitiespt_PT
dc.titleCorruption kills : global evidence from natural disasterspt_PT
dc.typeworkingPaperpt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.peerreviewedyespt_PT
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