Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Estimating the Distribution and Convergence of County-level Healthcare Resources Allocative Efficiency in China Based on DEA and Spatial Panel Model

Bibliographic Data

ID13775596
AuthorsJialiang Sun (0009-0006-2379-3631, Shanghai Normal University, Shanghai, China), Zesheng Sun (0000-0001-5705-8308, Shanghai Normal University, Shanghai, China, corresponding author), Chenyi Yang (0000-0003-1126-7459, Shanghai Normal University, Shanghai, China), Yuqing Shen (0000-0002-1307-7360, Shanghai Normal University, Shanghai, China)
Year2023
Volume60
Pages469580231178122-469580231178122
Publication date2023-01-01
Open AccessYes
TypeARTICLE
VenueINQUIRY The Journal of Health Care Organization Provision and Financing (JOURNAL)
Journal identifiersISSN: 0046-9580 • E-ISSN: 1945-7243
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/00469580231178122
PMID37300427
OpenAlexW4380202271
LanguageEN
Citations received1
References cited37

Although China's 2009 New Healthcare Reform aimed to correct the imbalance in the spatial allocation of healthcare resources with a focus on the county level, its impact on county-level allocative efficiency evolution and convergence remains unclear. This paper for the first time performs a spatial analysis to explore the distribution, evolution, and convergence of the allocative efficiency of healthcare resources with county-level data. This paper uses the sample data of 158 countries in Henan Province, China, to evaluate the evolution and convergence of the allocative efficiency of healthcare resources. Based on the estimated Data Envelopment Analysis (DEA) allocative efficiency, analysis of variance (ANOVA), and spatial descriptive analysis, we explore the county heterogeneity and efficiency evolution; a spatial panel model is then utilized to test the county-level convergence of the allocative efficiency of healthcare resources. Although the number of efficient counties has not increased, the number of inefficient individuals keeps decreasing, and the allocative efficiency of municipal districts is lower than that of nonmunicipal counties. There exists a positive spatial correlation of allocative efficiency in Henan Province, and significant and robust convergence results can be found at the county level after China's 2009 reform. This study reveals a diversified picture of China's county-level spatial evolution of allocative efficiency in healthcare resources, showing a more balanced spatial distribution of allocative efficiency since the triggering of China's 2009 reform. However, long-term investment incentives and a targeted allocation of healthcare resources are still needed to promote further efficiency convergence and increase the number of counties with efficiency

Allocative efficiency · Business · China · Convergence (economics · Data envelopment analysis · Descriptive statistics · Distribution (mathematics · Econometrics · Economic growth · Economics · Environmental economics · Geography · Incentive · Microeconomics · Panel data · Statistics · Global Health Care Issues · Healthcare Policy and Management · Healthcare Systems and Reforms · Mathematics

  • Spatial disparities and dynamic evolution of professional public health resource supply level in Beijing, China

    Open Access•Rui Wu, Danzhen Gesang et al.•BMC Public Health•2024

  • The primary health-care system in China

    Open Access•Xi Li, Jiapeng Lu et al.•The Lancet•2017

  • Measuring the efficiency of decision making units

    Open Access•A Charnes, W W Cooper et al.•European Journal of Operational…•1978

  • Analyzing the efficiency of Chinese primary healthcare institutions using the Malmquist-DEA approach

    Open Access•Junxu Zhou, Rong Peng et al.•Frontiers in Public Health•2023

  • Convergence, decentralization and spatial effects

    Open Access•M Cavalieri, Livio Ferrante•Health Policy•2020

  • Efficiency and Productivity Differences in Healthcare Systems

    Open Access•Roman Lacko, Zuzana Hajduová et al.•International Journal of…•2022

  • The impact of policy on the intangible service efficiency of the primary health care institution- based on China’s health care reform policy in 2009

    Open Access•Yao Leng, Weiwei Liu et al.•International Journal for Equity…•2019

  • Ten years of China’s new healthcare reform

    Open Access•Jiang Chen, Chen Jiang et al.•BMC Public Health•2021

  • The Effect of Descending Resources Reform on Reallocating Healthcare Resources

    Open Access•Chenyi Yang, Zesheng Sun et al.•INQUIRY The Journal of Health…•2023

  • Does Descending Resources Reform Improve Patient Satisfaction and Reshape Choice of Care Providers? A Cross-Sectional Study in Zhejiang, China

    Open Access•Zesheng Sun, Shuhong Wang et al.•INQUIRY The Journal of Health…•2020

  • Social service decline and convergence

    Open Access•Ingalill Montanari, K Nelson•Journal of European Social Policy•2013

  • Convergence analysis of health expenditure in Indian states

    Open Access•Kumari Youkta, Rajendra Narayan Paramanik•GeoJournal•2020

  • Understanding congestion in China’s medical market

    Open Access•Zesheng Sun, Shuhong Wang et al.•Health Policy and Planning•2016

  • Health system productivity in China

    Open Access•Peipei Chai, Yuhui Zhang et al.•Health Policy and Planning•2020

  • Convergence of Health Care Expenditures Across the US States

    Open Access•Nicholas Apergis, Tsangyao Chang et al.•Social Indicators Research•2017

Citations per year0.5
Citation span2024 - 2024 (1)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae