What are the key factors contributing to the inequity in healthcare resource allocation? Evidence from China’s health panel data from 2009 to 2021

BackgroundAs economic growth drives higher demand for health services, equitable health resource allocation becomes crucial to meet diverse healthcare needs. Since China’s reform and opening-up, increased government healthcare investment has not fully resolved regional disparities. Existing studies,...

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Main Authors: Enhong Dong, Tingting Wang, Ting Xu, Xueting Chen, Qianqian Zhou, Weimin Gao, Yuping Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Public Health
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Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1586585/full
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author Enhong Dong
Enhong Dong
Tingting Wang
Ting Xu
Ting Xu
Xueting Chen
Qianqian Zhou
Weimin Gao
Yuping Liu
author_facet Enhong Dong
Enhong Dong
Tingting Wang
Ting Xu
Ting Xu
Xueting Chen
Qianqian Zhou
Weimin Gao
Yuping Liu
author_sort Enhong Dong
collection DOAJ
description BackgroundAs economic growth drives higher demand for health services, equitable health resource allocation becomes crucial to meet diverse healthcare needs. Since China’s reform and opening-up, increased government healthcare investment has not fully resolved regional disparities. Existing studies, often relying on methods other than the concentration index, fail to comprehensively analyze the link between resource inequities and economic factors. This study uses the concentration index and its decomposition to assess regional disparities and identify determinants of inequity, offering practical recommendations for optimizing resource distribution in China and similar developing nations.MethodsThis study analyzed China’s healthcare resource allocation (institutions, beds, and workforce) from 2009 to 2021 using the concentration index to measure equity across socio-economic regions and its decomposition method to identify contributing factors to inequality.ResultsFrom 2009 to 2021, the numbers of institutions per 1,000 people (IPK), beds per 1,000 people (BPK), doctors per 1,000 people (DPK), technicians per 1,000 people (TPK), and nurses per 1,000 people(NPK) in China increased. The concentration index (CI) for IPK remained negative, while BPK’s CI turned negative after 2013. CIs for DPK, TPK, and NPK stayed positive. The CI for IPK’s absolute value rose, while others decreased. Factors like population size (PS), population density(PD), geographical Location(GL), maternal mortality rate(MMR), rate of born-baby weighting less than 2.5 kg (RBWL25), and perinatal mortality rate (PMR) influenced unequal healthcare resource distribution, with PS and RBWL25 favoring developed areas, and PD, GL, and MMR favoring less developed regions. Additionally, urbanization level (UL), Out-of-Pocket (OPP), per capita health expenditures(PCHE), per capita gross domestic product(PCGDP), disposable income of urban residents(DIUR), government health expenditures (GHE), and number of insured(NI) positively impacted resource allocation to developed provinces, with varying effects.ConclusionThis study analyzes 2009–2021 panel data, revealing growth trends and regional disparities in China’s healthcare resource equity, focusing on institutions, beds, and workforce. Need variables (PS, PD, and RBWL25) reduced bed/doctor disparities, while MMR/PMR worsened maternal/nurse inequities. Non-need economic factors concentrated resources in affluent areas despite redistribution efforts. The findings highlight ongoing challenges in equitable distribution and offer crucial policy insights for China and other developing nations.
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spelling doaj-art-de2141d9bba14d6f86a041eef9d2bc2b2025-07-18T05:23:58ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-07-011310.3389/fpubh.2025.15865851586585What are the key factors contributing to the inequity in healthcare resource allocation? Evidence from China’s health panel data from 2009 to 2021Enhong Dong0Enhong Dong1Tingting Wang2Ting Xu3Ting Xu4Xueting Chen5Qianqian Zhou6Weimin Gao7Yuping Liu8School of Nursing and Health Management, Shanghai University of Medicine & Health Science, Shanghai, ChinaInstitute of Healthy Yangtze River Delta, Shanghai Jiao Tong University, Shanghai, Shanghai, ChinaSchool of Nursing and Health Management, Shanghai University of Medicine & Health Science, Shanghai, ChinaSchool of Nursing and Health Management, Shanghai University of Medicine & Health Science, Shanghai, ChinaInstitute of Healthy Yangtze River Delta, Shanghai Jiao Tong University, Shanghai, Shanghai, ChinaSchool of Nursing and Health Management, Shanghai University of Medicine & Health Science, Shanghai, ChinaSchool of Nursing and Health Management, Shanghai University of Medicine & Health Science, Shanghai, ChinaSchool of Nursing, Kunming Medical University, Kunming, ChinaSchool of Humanities and Management, Kunming Medical University, Kunming, ChinaBackgroundAs economic growth drives higher demand for health services, equitable health resource allocation becomes crucial to meet diverse healthcare needs. Since China’s reform and opening-up, increased government healthcare investment has not fully resolved regional disparities. Existing studies, often relying on methods other than the concentration index, fail to comprehensively analyze the link between resource inequities and economic factors. This study uses the concentration index and its decomposition to assess regional disparities and identify determinants of inequity, offering practical recommendations for optimizing resource distribution in China and similar developing nations.MethodsThis study analyzed China’s healthcare resource allocation (institutions, beds, and workforce) from 2009 to 2021 using the concentration index to measure equity across socio-economic regions and its decomposition method to identify contributing factors to inequality.ResultsFrom 2009 to 2021, the numbers of institutions per 1,000 people (IPK), beds per 1,000 people (BPK), doctors per 1,000 people (DPK), technicians per 1,000 people (TPK), and nurses per 1,000 people(NPK) in China increased. The concentration index (CI) for IPK remained negative, while BPK’s CI turned negative after 2013. CIs for DPK, TPK, and NPK stayed positive. The CI for IPK’s absolute value rose, while others decreased. Factors like population size (PS), population density(PD), geographical Location(GL), maternal mortality rate(MMR), rate of born-baby weighting less than 2.5 kg (RBWL25), and perinatal mortality rate (PMR) influenced unequal healthcare resource distribution, with PS and RBWL25 favoring developed areas, and PD, GL, and MMR favoring less developed regions. Additionally, urbanization level (UL), Out-of-Pocket (OPP), per capita health expenditures(PCHE), per capita gross domestic product(PCGDP), disposable income of urban residents(DIUR), government health expenditures (GHE), and number of insured(NI) positively impacted resource allocation to developed provinces, with varying effects.ConclusionThis study analyzes 2009–2021 panel data, revealing growth trends and regional disparities in China’s healthcare resource equity, focusing on institutions, beds, and workforce. Need variables (PS, PD, and RBWL25) reduced bed/doctor disparities, while MMR/PMR worsened maternal/nurse inequities. Non-need economic factors concentrated resources in affluent areas despite redistribution efforts. The findings highlight ongoing challenges in equitable distribution and offer crucial policy insights for China and other developing nations.https://www.frontiersin.org/articles/10.3389/fpubh.2025.1586585/fullinequityhealth-care resourcesconcentration indexdeterminantsChina
spellingShingle Enhong Dong
Enhong Dong
Tingting Wang
Ting Xu
Ting Xu
Xueting Chen
Qianqian Zhou
Weimin Gao
Yuping Liu
What are the key factors contributing to the inequity in healthcare resource allocation? Evidence from China’s health panel data from 2009 to 2021
Frontiers in Public Health
inequity
health-care resources
concentration index
determinants
China
title What are the key factors contributing to the inequity in healthcare resource allocation? Evidence from China’s health panel data from 2009 to 2021
title_full What are the key factors contributing to the inequity in healthcare resource allocation? Evidence from China’s health panel data from 2009 to 2021
title_fullStr What are the key factors contributing to the inequity in healthcare resource allocation? Evidence from China’s health panel data from 2009 to 2021
title_full_unstemmed What are the key factors contributing to the inequity in healthcare resource allocation? Evidence from China’s health panel data from 2009 to 2021
title_short What are the key factors contributing to the inequity in healthcare resource allocation? Evidence from China’s health panel data from 2009 to 2021
title_sort what are the key factors contributing to the inequity in healthcare resource allocation evidence from china s health panel data from 2009 to 2021
topic inequity
health-care resources
concentration index
determinants
China
url https://www.frontiersin.org/articles/10.3389/fpubh.2025.1586585/full
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