Does Provincial Pooling of the Resident Medical Insurance Fund Improve the Efficiency of Medical Resource Allocation of China?

Background: Provincial pooling of the Urban–Rural Resident Basic Medical Insurance (URRBMI) fund has been promoted in China to reduce fragmentation and improve system performance, yet its impact on the efficiency of medical resource allocation remains unclear. Objective: To evaluate the impact of provincial pooling on medical resource allocation efficiency and to examine its heterogeneity across regions and institutional arrangements. Methods: Using provincial panel data from 2010 to 2022, this study measures efficiency with a super-efficiency slack-based measure (SBM) model and applies a staggered difference-in-differences (DID) design to estimate policy effects. Results: Provincial pooling is associated with a statistically significant reduction in medical resource allocation efficiency among adopting provinces. In baseline specifications, the estimated effect ranges from −0.021 to −0.024 (p < 0.01), corresponding to a decline of 0.021–0.024 points in the efficiency score, equivalent to about 2.4–2.7% of the sample mean efficiency level. Heterogeneity analysis suggests that the negative effect is concentrated in western provinces, whereas no statistically significant effect is observed in eastern provinces. No treatment effect is estimated for central provinces because none implemented provincial pooling during the study period. Institutional heterogeneity analysis shows negative estimates across pooling and management models, but the revenue–expenditure pooling estimate is not statistically significant. These results are robust across alternative specifications and sensitivity analyses. Conclusions: These findings suggest that, among adopting provinces, provincial pooling may involve substantial transitional adjustment costs, implying that efficiency gains should not be expected automatically in the short to medium term. Instead, outcomes depend on institutional conditions and the alignment of complementary governance mechanisms. Policymakers should adopt regionally differentiated and phased strategies and strengthen incentive-compatible design to improve reform effectiveness.

Authors

Institutions

Publication Details

Journal
Healthcare
Published
2026-08-03
DOI
https://doi.org/10.3390/healthcare14152368
Primary Topic
Healthcare Systems and Reforms
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Does Provincial Pooling of the Resident Medical Insurance Fund Improve the Efficiency of Medical Resource Allocation of China?

Austen El‐Osta, Bin Zhu, Ying Mao, Haoran Li et al.
Healthcare
Healthcare Systems and Reforms
article

Does Provincial Pooling of the Resident Medical Insurance Fund Improve the Efficiency of Medical Resource Allocation of China?

Austen El‐Osta, Bin Zhu, Ying Mao, Haoran Li, Fukun Zhu
article en

Abstract

Background: Provincial pooling of the Urban–Rural Resident Basic Medical Insurance (URRBMI) fund has been promoted in China to reduce fragmentation and improve system performance, yet its impact on the efficiency of medical resource allocation remains unclear. Objective: To evaluate the impact of provincial pooling on medical resource allocation efficiency and to examine its heterogeneity across regions and institutional arrangements. Methods: Using provincial panel data from 2010 to 2022, this study measures efficiency with a super-efficiency slack-based measure (SBM) model and applies a staggered difference-in-differences (DID) design to estimate policy effects. Results: Provincial pooling is associated with a statistically significant reduction in medical resource allocation efficiency among adopting provinces. In baseline specifications, the estimated effect ranges from −0.021 to −0.024 (p < 0.01), corresponding to a decline of 0.021–0.024 points in the efficiency score, equivalent to about 2.4–2.7% of the sample mean efficiency level. Heterogeneity analysis suggests that the negative effect is concentrated in western provinces, whereas no statistically significant effect is observed in eastern provinces. No treatment effect is estimated for central provinces because none implemented provincial pooling during the study period. Institutional heterogeneity analysis shows negative estimates across pooling and management models, but the revenue–expenditure pooling estimate is not statistically significant. These results are robust across alternative specifications and sensitivity analyses. Conclusions: These findings suggest that, among adopting provinces, provincial pooling may involve substantial transitional adjustment costs, implying that efficiency gains should not be expected automatically in the short to medium term. Instead, outcomes depend on institutional conditions and the alignment of complementary governance mechanisms. Policymakers should adopt regionally differentiated and phased strategies and strengthen incentive-compatible design to improve reform effectiveness.

HealthcareVol. 14(15)
Southern University of Science and Technology (CN), Imperial College London (GB), Xi'an Jiaotong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 6%
Healthcare Systems and Reforms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.