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Longevity and Economic Growth in China and India Using a Newly Developed Bootstrap ARDL Model

In this study, we use a recently developed Bootstrap ARDL model to examine the influence of longevity (life expectancy after giving birth) and alcohol consumption on economic progression (GDP) in both China and India during the years between 1992 and 2015. Empirical results have shown an extended li...

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Detalles Bibliográficos
Autores principales: Lin, Feng Li, Wang, Mei-Chih
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427201/
https://www.ncbi.nlm.nih.gov/pubmed/32850569
http://dx.doi.org/10.3389/fpubh.2020.00291
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author Lin, Feng Li
Wang, Mei-Chih
author_facet Lin, Feng Li
Wang, Mei-Chih
author_sort Lin, Feng Li
collection PubMed
description In this study, we use a recently developed Bootstrap ARDL model to examine the influence of longevity (life expectancy after giving birth) and alcohol consumption on economic progression (GDP) in both China and India during the years between 1992 and 2015. Empirical results have shown an extended link across economic development, longevity, and alcohol use in both China and India. The Granger causality test, derived from the Bootstrap ARDL model, demonstrates a unidirectional relationship between economic growth and longevity in China. However, a bidirectional causality exists between longevity and alcohol use in India. Results have important implications for Indian and Chinese governments' public health policies, focused on alcohol consumption reduction specifically, and population health generally.
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spelling pubmed-74272012020-08-25 Longevity and Economic Growth in China and India Using a Newly Developed Bootstrap ARDL Model Lin, Feng Li Wang, Mei-Chih Front Public Health Public Health In this study, we use a recently developed Bootstrap ARDL model to examine the influence of longevity (life expectancy after giving birth) and alcohol consumption on economic progression (GDP) in both China and India during the years between 1992 and 2015. Empirical results have shown an extended link across economic development, longevity, and alcohol use in both China and India. The Granger causality test, derived from the Bootstrap ARDL model, demonstrates a unidirectional relationship between economic growth and longevity in China. However, a bidirectional causality exists between longevity and alcohol use in India. Results have important implications for Indian and Chinese governments' public health policies, focused on alcohol consumption reduction specifically, and population health generally. Frontiers Media S.A. 2020-08-07 /pmc/articles/PMC7427201/ /pubmed/32850569 http://dx.doi.org/10.3389/fpubh.2020.00291 Text en Copyright © 2020 Lin and Wang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Lin, Feng Li
Wang, Mei-Chih
Longevity and Economic Growth in China and India Using a Newly Developed Bootstrap ARDL Model
title Longevity and Economic Growth in China and India Using a Newly Developed Bootstrap ARDL Model
title_full Longevity and Economic Growth in China and India Using a Newly Developed Bootstrap ARDL Model
title_fullStr Longevity and Economic Growth in China and India Using a Newly Developed Bootstrap ARDL Model
title_full_unstemmed Longevity and Economic Growth in China and India Using a Newly Developed Bootstrap ARDL Model
title_short Longevity and Economic Growth in China and India Using a Newly Developed Bootstrap ARDL Model
title_sort longevity and economic growth in china and india using a newly developed bootstrap ardl model
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427201/
https://www.ncbi.nlm.nih.gov/pubmed/32850569
http://dx.doi.org/10.3389/fpubh.2020.00291
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