Provincial Insurance Pooling Expanded Inpatient Care, But Not Equity
China’s move from municipal to provincial pooling in basic medical insurance was meant to strengthen financial risk sharing, widen protection, and narrow differences in benefit access. In this analysis of the Basic Medical Insurance Scheme for Urban and Rural Residents, provincial-level pooling did increase inpatient service use, but the gains did not arrive evenly across income groups. Inpatient care remained concentrated among higher-income enrollees, and hospitalization spending rose alongside utilization.
The pattern matters because pooling reform was designed as a financing fix, yet financing design can change clinical behavior at the bedside. When insurance coverage becomes more centralized, local fund pressure eases and inpatient admission becomes less constrained by fragmented municipal budgets. At the same time, broader pooling can also lower out-of-pocket barriers for people already positioned to navigate the system, which helps explain why use rises without a parallel correction in equity.
Seven Waves of CFPS Data Traced the Policy Shift Over Time
The analysis drew on seven waves of the China Family Panel Studies from 2010 through 2022. After applying questionnaire skip rules and excluding observations with missing key variables, the final sample included 4,895 person-wave observations of BMISURR enrollees. A staggered difference-in-differences framework with province and year fixed effects estimated the policy effect on inpatient service utilization and hospitalization costs.
This design is well suited to a reform that rolled out unevenly across provinces. Instead of treating all enrollees as if they moved through the same policy calendar, the model compared changes before and after provincial pooling across staggered implementation periods, while holding constant province-specific and year-specific influences. The investigators also compared two pooling structures: the unified revenue-and-expenditure model and the provincial risk adjustment fund model. To assess distributional fairness, concentration indices and Wagstaff decomposition were used to measure whether inpatient care and costs were skewed toward richer households and to identify the forces behind that skew.
Utilization Rose by 24.3 Percentage Points, and Spending Followed
Provincial-level pooling increased the probability of inpatient service utilization by 24.3 percentage points. Average hospitalization costs per enrollee, including non-users, rose by about 445 yuan.
Those are not small shifts. A rise in admission probability of that size suggests the policy did more than smooth administrative boundaries; it changed the practical threshold for entering inpatient care. The corresponding increase in hospitalization spending points to a second-order effect familiar in insurance economics: once access expands, pent-up demand, provider incentives, and more frequent use of hospital services can all push spending upward. In other words, the reform appears to have loosened the gate on both utilization and expenditure.
The Risk Adjustment Fund Model Pushed Harder Than Unified Pooling
Both pooling models increased inpatient utilization and expenditure, but the provincial risk adjustment fund model produced the stronger expansionary effect. The study’s interaction specification found that institutional design differences were more closely tied to spending disparities than to basic access differences.
This is a clinically relevant distinction for administrators and policymakers. If two pooling arrangements produce similar directional changes in who gets admitted, yet one drives a larger increase in cost, then the financing architecture itself is shaping intensity of care, not merely access. A risk adjustment fund can improve fund flexibility and redistribution, but it may also soften local fiscal restraint in ways that allow more costly inpatient care to accumulate. The stronger effect on hospitalization costs hints that the model may be amplifying expenditure through greater reimbursement capacity or weaker spending discipline.
Inpatient Care Stayed Concentrated Among Higher-Income Enrollees
Concentration index results showed that both inpatient service utilization and hospitalization costs were concentrated among higher-income groups. Decomposition analysis identified income and healthcare resources as the dominant contributors to pro-rich inequality.
This finding is central to the reform question. Expanded insurance pooling did not automatically make inpatient care more evenly distributed; instead, higher-income households continued to receive a disproportionate share of inpatient utilization and incurred more hospital spending. The drivers were not mysterious. Income shapes healthcare-seeking behavior, ability to absorb indirect costs, and confidence in pursuing hospital care. Resource distribution matters just as much, because the availability of hospitals, beds, and specialist services is not uniform across provinces or within them. When those two factors align, the result is a durable advantage for households already closest to the health system.
Provincial-level pooling contributed to the pro-rich pattern, accounting for 10.31% of inequality in inpatient service utilization and 12.78% of inequality in hospitalization costs. In policy terms, the reform helped create the conditions for broader coverage, but it also reinforced a system in which better-off enrollees were more able to turn insurance entitlement into actual inpatient care.
Why Bigger Pools Can Still Leave Old Gaps Intact
Insurance pooling operates on the financial side of access, but hospital use is shaped by far more than financing alone. Even when a resident scheme becomes more centralized, low-income households can still face transportation barriers, foregone wages, caregiving burdens, and weaker knowledge of when to seek inpatient treatment. Meanwhile, areas with denser healthcare resources can convert insurance generosity into hospital admissions more efficiently than underserved regions can.
The equity signal here is therefore not surprising, but it is important. If policy expansion raises utilization mostly among people who already have easier access to hospitals, inequality can persist or even widen despite more generous pooling. The result is a system that spends more without fully correcting distributional imbalance.
Reform Pressure Now Shifts Toward Governance and Targeting
The findings point to a familiar policy dilemma: provincial pooling can stabilize insurance funds and expand inpatient access, yet it does not automatically deliver equitable use. Future reform needs to do more than enlarge the pool. Stronger fund governance, tighter expenditure control under different pooling structures, and explicit protection for low-income and medically vulnerable groups will be necessary if pooling is to translate into fairer use.
Balanced healthcare resource allocation also remains part of the equation. Without a more even spread of hospitals and treatment capacity, insurance reform will continue to meet an uneven service system. Linking provincial pooling with hierarchical diagnosis and treatment and payment reform may help, but the equity problem will not disappear until financing design and service distribution move together. The present analysis shows what happens when one changes faster than the other: utilization rises, spending rises, and the richer half of the distribution keeps pulling ahead.