ArticleRisk management and healthcare policy2021
Configuration Analysis of Influencing Factors of Technical Efficiency Based on DEA and fsQCA: Evidence from China's Medical and Health Institutions.
Article in Risk management and healthcare policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Equity in the allocation of professional public health human resources and its improvement path in China.BMC health services research · 2026Article
- Multi-index spatio-temporal joint evaluation of traditional Chinese medicine service capacity: empirical analysis of china provincial panel data from 2012 to 2023.Frontiers in public health · 2026Article
- Coupling coordination and regional health equity: an empirical study of economic, social, and healthcare systems in Zhejiang Province, China.Frontiers in public health · 2025Article
- Healthcare services efficiency and its intrinsic drivers in China: based on the three-stage super-efficiency SBM model.BMC health services research · 2023Article
- Spatial price differences of medical services: evidence from the Yangtze River Delta in China.BMC health services research · 2023Article
- Data envelopment analysis on the efficiency of vaccination services and its influencing factors in Beijing, China.BMC health services research · 2023Article
- Assessing the competitiveness of listed Chinese high-growth companies in the STAR market.Heliyon · 2023Article
- Efficiency evaluation of urban employee's basic endowment insurance expenditure in China based on a three-stage DEA model.PloS one · 2023Article
- Efficiency and Productivity Differences in Healthcare Systems: The Case of the European Union.International journal of environmental research and public health · 2022Article
- The Impact of Multidimensional Health Levels on Rural Poverty: Evidence from Rural China.International journal of environmental research and public health · 2022Article
- The impacts of COVID-19 on China insurance industry-An empirical analysis based on event study.Frontiers in public health · 2022Article
- Coupling Coordination and Spatiotemporal Dynamic Evolution Between Medical Services and Tourism Development in China.Frontiers in public health · 2022Article
- Measurement and Evaluation of the Operating Efficiency of China's Basic Pension Insurance: Based on Three-Stage DEA Model.Risk management and healthcare policy · 2021Article
- Impact of the development of information society on healthcare efficiency: Empirical evidence from 31 Chinese provinces.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis paper aims to measure the technical efficiency of China's medical and health institutions from 2012 to 2017 and outline the path to achieve high-quality development.
methodsThe DEA-Malmquist was used to evaluate the total factor productivity of medical and health institutions in 31 provinces. A fuzzy set Qualitative Comparative Analysis (fsQCA) was used for configuration analysis of determinants affecting technical efficiency.
resultsThe average total factor productivity (TFP) of those institutions was 0.965, namely TFP declined averagely by 3.5% annually. The efficiency change and the technical change were 0.998 and 0.967, respectively. The realization paths of high technical efficiency are composed of high fatality rate and high financial allocation-led, high population density and high GDP-led. Low dependency ratio and low financial allocation-led, low fatality rate and low financial allocation-led are the main reasons for low technical efficiency.
conclusionDue to advanced medical technology and economic development, major cities like Beijing, Shanghai, and Guangdong have attracted a large number of high-level health personnel, achieving long-term and stable health business growth. Hubei, Anhui, and Sichuan also have made rapid development of health care through appropriate financial subsidies and policy supports. The technical changes in Qinghai, Yunnan, and Inner Mongolia are higher than the national average, but the operation and management level of the medical and health institutions is relatively weak. Henan, Jiangxi, and Heilongjiang have a prominent performance in the efficiency change, but the technical change is weaker than the national average.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.