ArticleRisk management and healthcare policy2022
How Efficient are Basic Public Health Services Between Urban and Rural in Shandong Province, China? A Data Envelopment Analysis and Panel Tobit Regression Approach.
Article in Risk management and healthcare policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Impact mechanisms and spatial effects of new quality productive forces on healthcare resource allocation in China.Scientific reports · 2026Article
- Carbon emission governance and public health efficiency in transitional China: Regional differences and spatial aggregation.PloS one · 2026Article
- Efficiency assessment and demand forecasting in China's primary healthcare system: a comprehensive SBM-DDF-GML analysis.Frontiers in public health · 2026Article
- Study on regional disparities and influencing factors of public health service supply in China from the perspective of fairness.BMC health services research · 2025Article
- How efficient are specialized public health services in China? A data envelopment analysis and geographically weighted regression approach.Frontiers in public health · 2025Article
- Equity and Efficiency of Medical Resource Allocation in National Central Cities, China.Risk management and healthcare policy · 2025Article
- Efficiency of the healthcare system and the impact of smoking bans: a DEA analysis of the Guangdong-Hong Kong-Macau Greater Bay Area in Asia.Frontiers in public health · 2025Article
- Efficiency evaluation and promoter identification of primary health care system in China: an enhanced DEA-Tobit approach.BMC health services research · 2024Article
- Assessing public health service capability of primary healthcare personnel: a large-scale survey in Henan Province, China.BMC health services research · 2024Article
- Unveiling spatial disparities in basic medical and health services: insights from China's provincial analysis.BMC health services research · 2024Article
- Human Resources Allocation of the Centers for Disease Control and Prevention in China.Risk management and healthcare policy · 2024Article
- Does the Healthy China 2030 Policy Improve People's Health? Empirical Evidence Based on the Difference-in-Differences Approach.Risk management and healthcare policy · 2024Article
- Evaluating the efficiency of primary health care institutions in China: an improved three-stage data envelopment analysis approach.BMC health services research · 2023Article
- The Application of Data Envelopment Analysis to Emergency Departments and Management of Emergency Conditions: A Narrative Review.Healthcare (Basel, Switzerland) · 2023Review
- Regional Differences, Dynamic Evolution and Convergence of Public Health Level in China.Healthcare (Basel, Switzerland) · 2023Article
- Do VIP medical services damage efficiency? New evidence of medical institutions' total factor productivity using Chinese panel data.Frontiers in public health · 2023Article
- Estimating the efficiency of primary health care services and its determinants: evidence from provincial panel data in China.Frontiers in public health · 2023Article
- Spatial-Temporal Characteristics and Driving Factors of the Eco-Efficiency of Tourist Hotels in China.International journal of environmental research and public health · 2022Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Improving basic public health services efficiency becomes priority to guarantee its sustainability for Chinese government. This study aimed to explore basic public health services efficiency and its influencing factors between urban and rural in Shandong Province, China, providing policy implications to improve efficiency. Methods: This research assessed basic public health services efficiency of 54 districts (representing urban) and 83 counties (representing rural) in Shandong, China, from 2014 to 2019. The data were obtained from Medical Management Service Center of Shandong Health Commission and Statistical Yearbooks. Input variables were subsidy funds, public health staffs and material expenditures. Output variables were assessment indicators covered all service contents from national standard. The data envelopment analysis and panel tobit regression were used to measure efficiency scores and efficiency influencing factors. Results: Basic public health services efficiency scores of urban were higher than those of rural during 2014 to 2019. Scale efficiency change and technological change promoted basic public health services total factor productivity change of urban and rural respectively. Panel tobit regression indicated that proportion of health expenditures in general public budget expenditures (P<0.01), subsidy funds (P<0.01), public health personnel expenditures (P<0.01) and the frequency of professional health institutions' guidance (P<0.01) were positively associated with efficiency in both urban and rural. The number of primary medical and health institutions and public health personnel were positively associated with urban (P<0.01), but those did not affect rural (P>0.10). Conclusion: To improve basic public health services efficiency, urban should focus on health resource structure, especially increasing primary medical and health institutions and public health personnel. Rural should expand the input scale, paying more attention to subsidy funds and public health personnel expenditures. The government should also care strengthening the guidance to primary medical and health institutions from professional health institutions.
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