IMF-津巴布韦_公共部门债务统计团数据质量评估技术援助报告（2025年2月6日至12日）（英）_33页_630kb
报告摘要
Zimbabwe Data Quality Assessment Report Summary
Disclaimer
- Provides technical advice on public sector debt statistics via IMF's Data Quality Assessment Framework (DQAF).
- Report based on stakeholder information, publicly available data, and authorities' feedback.
- Disclosure requires consent if not specified; otherwise shares technical reports, metadata through IMF.
Overall Assessment
- Objective: Evaluate the quality of Zimbabwe's Public Sector Debt Statistics (PSDS) using the IMF DQAF 2024 framework.
- Background:
- Conducted under a Japan-funded project through JSA.
- Collaboration with regional partners (World Bank, UNCTAD) noted.
- Debt unsustainable ("external and overall debt distress"), high external arrears (~USD$7.3B), and growing domestic debt (24% of total PPG by end-Sep 2024).
- Key Areas:
- Acknowledges strides in transparency, but need for broader coverage and system integration.
Detailed Assessment (DQAF)
Prerequisites of Quality
Strengths:
- Clear legal responsibility under the Public Debt Management Act (PDM Act 2015).
- Institutional setup (ZPDMO) well-functioning across Front/Middle/Back Offices.
- Defined data-sharing coordination.
Recommendations:
- Implement DMFAS 7 to enhance coverage, interface with IFMIS/CSD, and professionalize operations.
- Conduct periodic user surveys to gauge PSDS relevance.
Assurances of Integrity
Strengths:
- Legal basis, professional staff (including certifications), independent operation.
- Transparent reporting, ethical standards (Integrity Pledge, guidelines well applied).
Recommendations:
- Announce changes in methodology or data sources in advance.
- List individuals/agencies with access to pre-release data.
Methodological Soundness
Strengths:
- Data broadly aligns with international standards (PSDSG 2013 & GFSM 2014).
Recommendations:
- Expand sector/instrumental coverage (include local governments, public corps, pensions, leases, PPPs).
- Strictly apply residency principle in classifications.
- Incorporate contingent liabilities where applicable.
Accuracy and Reliability
Strengths:
- Validation with OAG, creditor reconciliation.
- Robust internal controls in compiling debt data.
- Advanced DMFAS 6 currently validating external loans annually.
Recommendations:
- Use available data to expand coverage for local/government arrears and other accounts.
- Interface DMFAS 7 with IFMIS/CSD to automate validations.
- Submit penalties/doubts to DRS.
Serviceability
Strengths:
- Timely reports (annual deadlines now six mon, qtrly for 2024).
- Long time series (since 1980).
- High level of database granulation and granularity.
Recommendations:
- Develop and follow a PSDS revision policy to manage errors in the qtrly data.
- Regularly update data on NSDP, and include release calendar.
Accessibility
Strengths:
- Partnerships with ZIMCODD and MoFEDIP.
- Public reports structured to cover diverse user needs.
Recommendations:
- Improve metadata, provide data in formats like Excel, SDMX, update IMF DSBB.
- Publish PSDS via QPSD for wide dissemination and linked formats.
- Promote user feedback services.
DQAF Dimension Ratings Summary
| Dimension | Observed/Level | Priority | Main Recommendations |
|---|---|---|---|
| Legal Environment | O | Medium | Maintain legislative framework. |
| Institutional Setup | O | Medium | Scale up institutional synergies. |
| Resources | O | High | URGENT: Upgrade DMFAS to v7. |
| Other Quality Mgmt | O | Medium | Incorporate periodic user surveys. |
| Professionalism | O | Medium | Continue transparency. |
| Transparency | O | Low | - |
| Ethical Standards | O | Low | - |
| Concepts/Applicability | LO | High | Rigidly apply residency principle across currence, maturity, and sector. Include 1-level data by instrument type. |
| Scope | LNO | High | Expand sectoral reporting: public units outside BCG, extra-budgetary. Refine timeframe. |
| Classification | O or LNO | Medium | Standardize indices (maturity/currency etc.). |
| Consolidation/Val | LO | High | Apply consolidation rules & adjust to nominal/market valuation. |
| Arrears Data | O | High | Expand sources for arrear data, integrate beyond old practices. |
| Statistical Tech | NO | High | Review PPP leases. |
| Audit/Revisions | O | Medium | Create revised policy for revision patterns. |
| Periodicity/Timeliness | LO | Medium | Maintain current schedule, include release calendar format. |
| Long Time Series | O | Low | Present more time series for key debt aggregates. |
| Consistency | LO | Medium | Improve revision reporting for qtrly. |
| Release Calendar | LNO | Medium | Implement standardized release calendar. |
| Metadata Include | LNO | High | Develop structured metadata for clarity. |
| Data Dissemination | LNO | High | Use SDMX/Excel, update NSDP, publish via QPSD. |
| Data Formats | LO | Medium | Provide in multiple formats for users. |
Summary of Findings
-
Strengths:
- Legal, institutional, workforce frameworks in place.
- Ongoing commitment to transparency with high-quality data.
- Some key policy documents and capacities (e.g., D4D collaboration, DQAF).
-
Areas for Improvement:
- Methodology: Expand sector/instrument coverage including contingent liabilities, leases, PPPs.
- System Integration: Automate DFI processes and interfaces to enhance data flow.
- Accessibility: Enhance user interaction, metadata, formats, and wider dissemination channels.
Appendices
-
User Survey: Feedback shows strong use of PSDS, but points to limited instrument/sectoral coverage (especially local govts, SOEs, accounts arrears). Align coverage with user needs.
-
PSDS Reporting Tables (Standardized quarterly reporting matrices and reconciliation tables referenced in the DQAF).
-
Authorised Recommendation Acceptance: All proposals to be followed forthwith, especially DMFAS 7 redesign and user feedback mechanisms.
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