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Methods for assessing the impact of PM(2.5) concentration on mortality while controlling for socio-economic factors

Even though industrial development has brought vast improvements to our daily lives, it carries with it negative effects such as adverse health outcomes caused by PM(2.5) and other pollutants. The negative externalities and external costs might occur when property rights are not properly defined, wh...

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Detalles Bibliográficos
Autores principales: Lončar, Dejan, Tyack, Nicholas Brown, Krstić, Vesna, Paunković, Jane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529546/
https://www.ncbi.nlm.nih.gov/pubmed/36203891
http://dx.doi.org/10.1016/j.heliyon.2022.e10729
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author Lončar, Dejan
Tyack, Nicholas Brown
Krstić, Vesna
Paunković, Jane
author_facet Lončar, Dejan
Tyack, Nicholas Brown
Krstić, Vesna
Paunković, Jane
author_sort Lončar, Dejan
collection PubMed
description Even though industrial development has brought vast improvements to our daily lives, it carries with it negative effects such as adverse health outcomes caused by PM(2.5) and other pollutants. The negative externalities and external costs might occur when property rights are not properly defined, which means that if no one holds a property right on the atmosphere and the quality of air, there is no appropriate mechanism to prevent a further expansion of negative effects. An economic burden of pollution related to premature morbidity and mortality in individual countries can account for 5–14% of GDP (World Bank, 2021). In 2019, the worldwide health cost of mortality and morbidity caused by exposure to PM(2.5) concentration was $8.1 trillion, which is equivalent to 6.1 percent of the global gross domestic product (GDP) (World Bank estimate). Policymakers require evidence-based results that clearly show the impact that air pollution has on the economy and society, in order to be able to establish the proper regulations and ensure their successful implementation. The purpose of this long term study is to provide methods for assessing the negative effects of PM(2.5) concentration on PM(2.5)-related mortality using panel data structure and demonstrate how socio-economic factors affect this relation. This study employed advanced econometric techniques to analyse the long-term impact of PM(2.5) on human health, while controlling for socio economic indicators. This study has demonstrated significant effects of socio-economic, health risk and system and governance variables on the relation between PM(2.5) ​concentration and PM(2.5)-related mortality.
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spelling pubmed-95295462022-10-05 Methods for assessing the impact of PM(2.5) concentration on mortality while controlling for socio-economic factors Lončar, Dejan Tyack, Nicholas Brown Krstić, Vesna Paunković, Jane Heliyon Research Article Even though industrial development has brought vast improvements to our daily lives, it carries with it negative effects such as adverse health outcomes caused by PM(2.5) and other pollutants. The negative externalities and external costs might occur when property rights are not properly defined, which means that if no one holds a property right on the atmosphere and the quality of air, there is no appropriate mechanism to prevent a further expansion of negative effects. An economic burden of pollution related to premature morbidity and mortality in individual countries can account for 5–14% of GDP (World Bank, 2021). In 2019, the worldwide health cost of mortality and morbidity caused by exposure to PM(2.5) concentration was $8.1 trillion, which is equivalent to 6.1 percent of the global gross domestic product (GDP) (World Bank estimate). Policymakers require evidence-based results that clearly show the impact that air pollution has on the economy and society, in order to be able to establish the proper regulations and ensure their successful implementation. The purpose of this long term study is to provide methods for assessing the negative effects of PM(2.5) concentration on PM(2.5)-related mortality using panel data structure and demonstrate how socio-economic factors affect this relation. This study employed advanced econometric techniques to analyse the long-term impact of PM(2.5) on human health, while controlling for socio economic indicators. This study has demonstrated significant effects of socio-economic, health risk and system and governance variables on the relation between PM(2.5) ​concentration and PM(2.5)-related mortality. Elsevier 2022-09-24 /pmc/articles/PMC9529546/ /pubmed/36203891 http://dx.doi.org/10.1016/j.heliyon.2022.e10729 Text en © 2022 Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Lončar, Dejan
Tyack, Nicholas Brown
Krstić, Vesna
Paunković, Jane
Methods for assessing the impact of PM(2.5) concentration on mortality while controlling for socio-economic factors
title Methods for assessing the impact of PM(2.5) concentration on mortality while controlling for socio-economic factors
title_full Methods for assessing the impact of PM(2.5) concentration on mortality while controlling for socio-economic factors
title_fullStr Methods for assessing the impact of PM(2.5) concentration on mortality while controlling for socio-economic factors
title_full_unstemmed Methods for assessing the impact of PM(2.5) concentration on mortality while controlling for socio-economic factors
title_short Methods for assessing the impact of PM(2.5) concentration on mortality while controlling for socio-economic factors
title_sort methods for assessing the impact of pm(2.5) concentration on mortality while controlling for socio-economic factors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529546/
https://www.ncbi.nlm.nih.gov/pubmed/36203891
http://dx.doi.org/10.1016/j.heliyon.2022.e10729
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