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Critical supply chains for mitigating PM(2.5) emission-related mortalities in India
Air pollution and its health-related effects are a major concern globally, and many people die from air pollution-related diseases each year. This study employed a structural path analysis combined with a health impact inventory database analysis to estimate the number of consumption-based PM(2.5) e...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8185009/ https://www.ncbi.nlm.nih.gov/pubmed/34099818 http://dx.doi.org/10.1038/s41598-021-91438-2 |
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author | Mitoma, Haruka Nagashima, Fumiya Kagawa, Shigemi Nansai, Keisuke |
author_facet | Mitoma, Haruka Nagashima, Fumiya Kagawa, Shigemi Nansai, Keisuke |
author_sort | Mitoma, Haruka |
collection | PubMed |
description | Air pollution and its health-related effects are a major concern globally, and many people die from air pollution-related diseases each year. This study employed a structural path analysis combined with a health impact inventory database analysis to estimate the number of consumption-based PM(2.5) emission-related deaths attributed to India’s power supply sector. We identified critical supply chain paths for direct (production) electricity use and indirect (consumption) use. We also considered both domestic and foreign final demand and its effect on PM(2.5) emission-related deaths. Several conclusions could be drawn from our results. First, the effect of indirect electricity usage on PM(2.5) emission-related deaths is approximately four times larger than that for direct usage. Second, a large percentage of pollution-related deaths can be attributed to India’s domestic final demand usage; however, electricity usage in the intermediate and final demand sectors is inextricably linked. Third, foreign final demand sectors from the Middle East, the USA, and China contribute indirectly toward PM(2.5) emission-related deaths, specifically in the rice export supply chain. The results show that the Indian government should implement urgent measures to curb electricity use in rice supply chains in order to reduce the number of PM(2.5) emission-related deaths. |
format | Online Article Text |
id | pubmed-8185009 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81850092021-06-08 Critical supply chains for mitigating PM(2.5) emission-related mortalities in India Mitoma, Haruka Nagashima, Fumiya Kagawa, Shigemi Nansai, Keisuke Sci Rep Article Air pollution and its health-related effects are a major concern globally, and many people die from air pollution-related diseases each year. This study employed a structural path analysis combined with a health impact inventory database analysis to estimate the number of consumption-based PM(2.5) emission-related deaths attributed to India’s power supply sector. We identified critical supply chain paths for direct (production) electricity use and indirect (consumption) use. We also considered both domestic and foreign final demand and its effect on PM(2.5) emission-related deaths. Several conclusions could be drawn from our results. First, the effect of indirect electricity usage on PM(2.5) emission-related deaths is approximately four times larger than that for direct usage. Second, a large percentage of pollution-related deaths can be attributed to India’s domestic final demand usage; however, electricity usage in the intermediate and final demand sectors is inextricably linked. Third, foreign final demand sectors from the Middle East, the USA, and China contribute indirectly toward PM(2.5) emission-related deaths, specifically in the rice export supply chain. The results show that the Indian government should implement urgent measures to curb electricity use in rice supply chains in order to reduce the number of PM(2.5) emission-related deaths. Nature Publishing Group UK 2021-06-07 /pmc/articles/PMC8185009/ /pubmed/34099818 http://dx.doi.org/10.1038/s41598-021-91438-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Mitoma, Haruka Nagashima, Fumiya Kagawa, Shigemi Nansai, Keisuke Critical supply chains for mitigating PM(2.5) emission-related mortalities in India |
title | Critical supply chains for mitigating PM(2.5) emission-related mortalities in India |
title_full | Critical supply chains for mitigating PM(2.5) emission-related mortalities in India |
title_fullStr | Critical supply chains for mitigating PM(2.5) emission-related mortalities in India |
title_full_unstemmed | Critical supply chains for mitigating PM(2.5) emission-related mortalities in India |
title_short | Critical supply chains for mitigating PM(2.5) emission-related mortalities in India |
title_sort | critical supply chains for mitigating pm(2.5) emission-related mortalities in india |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8185009/ https://www.ncbi.nlm.nih.gov/pubmed/34099818 http://dx.doi.org/10.1038/s41598-021-91438-2 |
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