您的浏览器禁用了JavaScript(一种计算机语言,用以实现您与网页的交互),请解除该禁用,或者联系我们。[国际货币基金组织]:毛里求斯:公共部门债务统计数据质量评估 - 发现报告

毛里求斯:公共部门债务统计数据质量评估

AI智能总结
查看更多
毛里求斯:公共部门债务统计数据质量评估

MAURITIUS Data Quality Assessment for Public Sector DebtStatistics (September 4–12, 2025) December 2025 Prepared BySteffi Schuster and David Bailey PARTNERS: DISCLAIMER The contents of this document constitute a high-level summary of technical advice provided by the staff ofthe International Monetary Fund (IMF) to the authorities of a member country or international agency(the "CD recipient") in response to their request for capacity development. Unless the CD recipient High-Level Summary Technical Assistance Report Statistics Department Prepared by Steffi Schuster and David Bailey TheHigh-Level Summary Technical Assistance Reportseries provides high-level summaries ofthe assistance provided to IMF capacity development recipients, describing the high-level ABSTRACT:In September 2025, an assessment was undertaken of the data quality of the public sectordebt statistics (PSDS) of Mauritius against the IMF’s Data Quality Assessment Framework (DQAF) forPSDS. The mission was undertaken as part of a project to strengthen the quality of public sector debt inselect African countries, funded by the Government of Japan. The mission reviewed the PSDS JEL Classification Numbers:H63, H81, H83 (consult https://www.aeaweb.org/econlit/jelCodes.php)Keywords:Data Quality Assessment Framework (DQAF), Debt Reporting, Debt Transparency, JSA, PublicDebt, Public Sector Debt Statistics (PSDS),Mauritius Background 1.Mauritius’ public debt is estimated to be 86 percent of GDP at the end of the 2024/25 fiscalyear (end of June 2025), having risen significantly over the last five years.According to the PSDSreports of the MOF, the consolidated gross public debt was 64 percent of GDP at the end ofDecember 2019, just before the Covid pandemic. The high public debt levels of recent years havetranslated into a high risk of sovereign stress according to IMF’s latest debt sustainability analysis of June 2.Against this background, the main objective of the mission was to use the IMF’sstandardized Data Quality Assessment Framework (DQAF) to identify areas of improvement inpublic sector debt statistics (PSDS) compilation and dissemination processes and recommendpriority actions to help Mauritius enhance public debt data transparency.Discussions with variousstakeholders as well as review of data received and published indicate that Mauritius’ public debt Summary of Findings 3.Legal Environment:The responsibilities for the collection, processing, and dissemination ofpublic sector debt data are clearly identified in the Public Debt Management Act 2008 (PDMA 2008).Under the PDMA 2008, the MOF must prepare a report, within a month of the end of every quarter, on theoutstanding stock of public sector debt and government-guaranteed debt. For this purpose, the PDMA2008 also requires public entities to submit debt data to the MOF within 15 days of the end of the quarter.Although the PDMA 2008 provides a strong framework for PSDS reporting it is recommended that the 4.Institutional Environment:The MOF management are cognizant of the importance of producingstatistics which are recognized as reputable and trustworthy. To this end there is investment inprofessionalism and a focus on ensuring compliance with IMF’s SDDS and other international statisticalrequirements. However, the PDMU only has eight staff to carry out its debt management and debtreporting functions, and this low number of staff presents both a continuity risk and a barrier to further inform priority policy decisions there is a need to periodically consult users on the relevance and 5.Assurances of Integrity:The staff of the PDMU demonstrate a high level of professionalism andfocus on data quality. They are recruited on merit and are encouraged to further develop their skillsthrough formal and on-the-job training. The Code of Ethics for Public Officers sets out clear conductrequirements and the MOF’s Charter emphasizes core values of quality service, accountability, andintegrity. However, more needs to be done within the PDMU to provide statistical training and promote 6.Methodological Soundness:The PSDS of Mauritius are compiled in line with recognizedstatistical concepts such as residency, maturity, and currency, and cover the debt of the public sector(excluding public sector banks) in the form of loans, debt securities and IMF Special Drawing Rights(SDRs) allocations. The sector coverage is broad and compares well to other countries in the region, andit is notable that the coverage is guided by a published list of public sector entities, which are classifiedbased on international statistical principles. However, the coverage of debt instruments is somewhatnarrow and for a comprehensive picture of the PSDS of Mauritius there is a need to expand this coverageto include other material debts, such as other accounts payable (OAPs) and pension liabilities. In 7.Accuracy and Reliability:The data sources underpinning the current PSDS in Mauritius aretimely, comprehensive and so