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Spatial Effect Analysis of Health Expenditure and Health Output in China From 2011 to 2018
OBJECTIVE: The objective of this study is to study the spatial effects of health expenditure and health output in China. METHODS: Using the spatial panel data of 31 provinces in China from 2011 to 2018, the spatial weight matrix was introduced to analyze the spatial correlation, and the spatial Durb...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013825/ https://www.ncbi.nlm.nih.gov/pubmed/35444980 http://dx.doi.org/10.3389/fpubh.2022.794177 |
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author | Xu, Penghui Zhao, Xicang Li, Haili Guo, Shi |
author_facet | Xu, Penghui Zhao, Xicang Li, Haili Guo, Shi |
author_sort | Xu, Penghui |
collection | PubMed |
description | OBJECTIVE: The objective of this study is to study the spatial effects of health expenditure and health output in China. METHODS: Using the spatial panel data of 31 provinces in China from 2011 to 2018, the spatial weight matrix was introduced to analyze the spatial correlation, and the spatial Durbin model (SDM) was used to investigate the health output effect of health expenditure. RESULTS: Excluding the number of doctors per thousand, the provincial health expenditure, the number of beds per thousand population, and per capita education level had a positive impact on the regional health output. The health effect of China's health inputs showed a spatial spillover effect. CONCLUSION: Due to the significant spatial effect, the health output of 31 provinces in China benefits not only from the local health inputs, but also from the health inputs of neighboring provinces. SUGGESTIONS: This article puts forward some suggestions based on the conclusion: China should strengthen the health cooperation among neighboring provinces, promote the free flow of various health factors among provinces, make full use of the spillover and interdependence of health investment among provinces, and improve the medical policy environment in China. |
format | Online Article Text |
id | pubmed-9013825 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90138252022-04-19 Spatial Effect Analysis of Health Expenditure and Health Output in China From 2011 to 2018 Xu, Penghui Zhao, Xicang Li, Haili Guo, Shi Front Public Health Public Health OBJECTIVE: The objective of this study is to study the spatial effects of health expenditure and health output in China. METHODS: Using the spatial panel data of 31 provinces in China from 2011 to 2018, the spatial weight matrix was introduced to analyze the spatial correlation, and the spatial Durbin model (SDM) was used to investigate the health output effect of health expenditure. RESULTS: Excluding the number of doctors per thousand, the provincial health expenditure, the number of beds per thousand population, and per capita education level had a positive impact on the regional health output. The health effect of China's health inputs showed a spatial spillover effect. CONCLUSION: Due to the significant spatial effect, the health output of 31 provinces in China benefits not only from the local health inputs, but also from the health inputs of neighboring provinces. SUGGESTIONS: This article puts forward some suggestions based on the conclusion: China should strengthen the health cooperation among neighboring provinces, promote the free flow of various health factors among provinces, make full use of the spillover and interdependence of health investment among provinces, and improve the medical policy environment in China. Frontiers Media S.A. 2022-04-04 /pmc/articles/PMC9013825/ /pubmed/35444980 http://dx.doi.org/10.3389/fpubh.2022.794177 Text en Copyright © 2022 Xu, Zhao, Li and Guo. 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 Xu, Penghui Zhao, Xicang Li, Haili Guo, Shi Spatial Effect Analysis of Health Expenditure and Health Output in China From 2011 to 2018 |
title | Spatial Effect Analysis of Health Expenditure and Health Output in China From 2011 to 2018 |
title_full | Spatial Effect Analysis of Health Expenditure and Health Output in China From 2011 to 2018 |
title_fullStr | Spatial Effect Analysis of Health Expenditure and Health Output in China From 2011 to 2018 |
title_full_unstemmed | Spatial Effect Analysis of Health Expenditure and Health Output in China From 2011 to 2018 |
title_short | Spatial Effect Analysis of Health Expenditure and Health Output in China From 2011 to 2018 |
title_sort | spatial effect analysis of health expenditure and health output in china from 2011 to 2018 |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013825/ https://www.ncbi.nlm.nih.gov/pubmed/35444980 http://dx.doi.org/10.3389/fpubh.2022.794177 |
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