Evidence map›Paper›PMID 42609296›Full record

ArticleFrontiers in public health2026

The impact of delayed retirement on the financial sustainability of China's urban employee pension insurance fund.

Fanqi Wei, Mengru Ji

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Fanqi WeiSchool of Philosophy and Social Sciences, Jilin University, Changchun, China.
Mengru JiSchool of Philosophy and Social Sciences, Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Against the backdrop of accelerating population aging and mounting concerns over the financial viability of public pension systems, this paper develops an actuarial simulation framework that integrates demographic dynamics, fund revenue and expenditure rules, and the central adjustment mechanism. We evaluate four scenarios: baseline, delayed retirement only, national pooling only, and the combined reform. Our findings indicate that in the absence of policy intervention, regional disparities in fund balances intensify markedly: the western region enters cumulative deficit first, followed by the central region, while the eastern region retains a longer but still finite reserve buffer. The delayed-retirement-only path does not by itself improve fiscal performance in the present calibration, whereas national pooling narrows current deficits and postpones reserve depletion in deficit regions. When the two reforms are implemented jointly, the combined scenario delivers the strongest overall performance and produces a positive interaction effect on both current and cumulative balances across all three regions. Sensitivity tests further show that pessimistic macro conditions, weaker collection, and lower fund return materially erode the gains, while province-level results reveal substantial heterogeneity within each region. To strengthen the long-run sustainability and institutional resilience of the urban employee pension insurance system, we recommend refining the design of the national pooling mechanism, advancing delayed retirement together with complementary labor-market measures, and adopting regionally differentiated implementation and dynamic adjustment.

Indexed as

PensionsRetirementUrban PopulationChinaHumansactuarial simulationdelayed retirementfinancial sustainabilitynational poolingurban employee pension insurance fund

Identifiers

PMID42609296
PMCPMC13477983

What OpenQuestion holds

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Registered trials

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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.