Fujian Regulatory Bureau Deploys Audit of Subsidy Funds for Urban and Rural Residents' Basic Pension Insurance

The Fujian Regulatory Bureau issued a notice detailing procedures, timelines, and quality standards for the settlement audit of basic pension insurance subsidies, assigned a dedicated task force, and conducted policy training. It will use data comparison and anomaly warnings to verify indicators like insured numbers and payment amounts, and will push for rectification of any issues found.

Source: 财政部福建监管局

The Fujian Regulatory Bureau has launched an audit of settlement subsidy funds for the urban and rural residents' basic pension insurance program, issuing a special notice that specifies the scope, deadlines, and quality benchmarks for each stage. The notice defines core responsibilities for document submission, preliminary review, on-site inspection, issue rectification, and conclusion confirmation, aiming to establish a closed-loop mechanism with vertical and horizontal coordination.

To strengthen the audit foundation, the bureau formed a working group of key personnel and organized training on policies and operations, studying relevant regulations of the Ministry of Finance and the Ministry of Human Resources and Social Security. It also refined a specific work plan tailored to Fujian's conditions, clarifying staff assignments, discipline, and procedures to prepare from the perspectives of awareness, capability, and process.

In terms of audit methods, the bureau plans to visit the provincial human resources department to familiarize itself with the pension insurance system operations, focusing on insured person databases and benefit payment modules. The audit will verify data integrity, accuracy, and consistency at every stage, with special attention to logical relationships among core indicators such as the number of insured individuals, payment counts, and subsidy amounts. It will also conduct vertical comparisons of monthly and annual trends and horizontal cross-checks across systems, and will establish an anomaly warning model to quickly identify and address issues like contradictory or non-standard data.

For problems discovered, the bureau will combine investigation with corrective action, holding face-to-face discussions with responsible departments to verify facts and ensure step-by-step rectification and closed-loop implementation. It will also systematically review historical data on age structures, contribution tiers, fund returns, and operational status, and through data analysis and discussions with local social security agencies, examine key factors affecting the program's sustainability and propose policy recommendations.