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Are Healthcare Expenditures Related to Economic Growth in China? Bootstrap ARDL Approach

This study attempts to investigate whether healthcare expenditures (HCE) are related to economic growth in China using a newly developed Bootstrap autoregressive distributed lag (ARDL) test for China over the period of 1990–2019. To avoid omitted variable bias, we use the ratio of the population of...

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Autores principales: Chang, Yu-Cheng, Chang, Tsangyao, Wang, Mei-Chih
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8858849/
https://www.ncbi.nlm.nih.gov/pubmed/35198529
http://dx.doi.org/10.3389/fpubh.2021.766091
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author Chang, Yu-Cheng
Chang, Tsangyao
Wang, Mei-Chih
author_facet Chang, Yu-Cheng
Chang, Tsangyao
Wang, Mei-Chih
author_sort Chang, Yu-Cheng
collection PubMed
description This study attempts to investigate whether healthcare expenditures (HCE) are related to economic growth in China using a newly developed Bootstrap autoregressive distributed lag (ARDL) test for China over the period of 1990–2019. To avoid omitted variable bias, we use the ratio of the population of 65 years old over the total population (aging ratio) as a control variable. Empirical result indicates that no cointegration among these three variables. Granger causality test based on Bootstrap ARDL model demonstrates that one-way Granger causality running from HCE to aging ratio and from economic growth to both HCE and aging ratio. Empirical results have important policy implications for China understudy
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spelling pubmed-88588492022-02-22 Are Healthcare Expenditures Related to Economic Growth in China? Bootstrap ARDL Approach Chang, Yu-Cheng Chang, Tsangyao Wang, Mei-Chih Front Public Health Public Health This study attempts to investigate whether healthcare expenditures (HCE) are related to economic growth in China using a newly developed Bootstrap autoregressive distributed lag (ARDL) test for China over the period of 1990–2019. To avoid omitted variable bias, we use the ratio of the population of 65 years old over the total population (aging ratio) as a control variable. Empirical result indicates that no cointegration among these three variables. Granger causality test based on Bootstrap ARDL model demonstrates that one-way Granger causality running from HCE to aging ratio and from economic growth to both HCE and aging ratio. Empirical results have important policy implications for China understudy Frontiers Media S.A. 2022-02-07 /pmc/articles/PMC8858849/ /pubmed/35198529 http://dx.doi.org/10.3389/fpubh.2021.766091 Text en Copyright © 2022 Chang, Chang and Wang. https://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
Chang, Yu-Cheng
Chang, Tsangyao
Wang, Mei-Chih
Are Healthcare Expenditures Related to Economic Growth in China? Bootstrap ARDL Approach
title Are Healthcare Expenditures Related to Economic Growth in China? Bootstrap ARDL Approach
title_full Are Healthcare Expenditures Related to Economic Growth in China? Bootstrap ARDL Approach
title_fullStr Are Healthcare Expenditures Related to Economic Growth in China? Bootstrap ARDL Approach
title_full_unstemmed Are Healthcare Expenditures Related to Economic Growth in China? Bootstrap ARDL Approach
title_short Are Healthcare Expenditures Related to Economic Growth in China? Bootstrap ARDL Approach
title_sort are healthcare expenditures related to economic growth in china? bootstrap ardl approach
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8858849/
https://www.ncbi.nlm.nih.gov/pubmed/35198529
http://dx.doi.org/10.3389/fpubh.2021.766091
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