Corruption kills : global evidence from natural disasters

Detalhes bibliográficos
Autor(a) principal: Cevik, Serhan
Data de Publicação: 2023
Outros Autores: Jalles, João Tovar
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/29138
Resumo: Natural 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.
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spelling Corruption kills : global evidence from natural disastersCorruptioninstitutionsnatural disastersfatalitiesNatural 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.ISEG - REM - Research in Economics and MathematicsRepositório da Universidade de LisboaCevik, SerhanJalles, João Tovar2023-10-27T10:11:40Z2023-102023-10-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/29138engCevik, Serhan e João Tovar Jalles (2023). "Corruption kills : global evidence from natural disasters". REM Working paper series, nº 0295/20232184-108Xinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-10-29T01:30:58Zoai:www.repository.utl.pt:10400.5/29138Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:26:06.218823Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Corruption kills : global evidence from natural disasters
title Corruption kills : global evidence from natural disasters
spellingShingle Corruption kills : global evidence from natural disasters
Cevik, Serhan
Corruption
institutions
natural disasters
fatalities
title_short Corruption kills : global evidence from natural disasters
title_full Corruption kills : global evidence from natural disasters
title_fullStr Corruption kills : global evidence from natural disasters
title_full_unstemmed Corruption kills : global evidence from natural disasters
title_sort Corruption kills : global evidence from natural disasters
author Cevik, Serhan
author_facet Cevik, Serhan
Jalles, João Tovar
author_role author
author2 Jalles, João Tovar
author2_role author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Cevik, Serhan
Jalles, João Tovar
dc.subject.por.fl_str_mv Corruption
institutions
natural disasters
fatalities
topic Corruption
institutions
natural disasters
fatalities
description Natural 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.
publishDate 2023
dc.date.none.fl_str_mv 2023-10-27T10:11:40Z
2023-10
2023-10-01T00:00:00Z
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dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.5/29138
url http://hdl.handle.net/10400.5/29138
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Cevik, Serhan e João Tovar Jalles (2023). "Corruption kills : global evidence from natural disasters". REM Working paper series, nº 0295/2023
2184-108X
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publisher.none.fl_str_mv ISEG - REM - Research in Economics and Mathematics
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