2015年-IMF国际货币组织全球_South_Africa_Technical_Assistance_Report_50页_895kb

Summary of the South Africa VAT Gap Analysis Report (2007-2012)

Core Content

This report, prepared by the International Monetary Fund (IMF) Fiscal Affairs Department, analyzes the Value-Added Tax (VAT) compliance and policy gaps in South Africa using the Revenue Administration Gap Analysis Program (RA-GAP) methodology. The findings are based on data provided by the South African Revenue Service (SARS), the National Treasury (NT), and Statistics South Africa (Stats SA) between 2007 and 2012.

Main Findings

Compliance Gap

• The VAT compliance gap in South Africa ranged between 5% and 10% of potential VAT revenues from 2007 to 2012.
• The gap peaked in 2009 at 10%, coinciding with the impact of the global financial crisis.
• The gap has since gradually decreased, returning to around 6% in 2012, similar to 2007 levels.
• The compliance gap is lower than international standards, particularly in European and Latin American countries.
• The compliance gap is calculated as the difference between potential VAT revenues (based on economic activity) and actual VAT collections (based on tax returns and payments).

Policy Gap

• The VAT policy gap in South Africa ranged between 27% and 33% of theoretical potential VAT revenues during 2007-2012.
• This is lower than the average of European countries, which had a policy gap of 41%.
• The VAT tax expenditure (i.e., the cost of tax concessions and exemptions) was estimated at 15-18% of potential VAT under normative policy.
• The policy gap reflects the efficiency of the current VAT policy framework, comparing actual potential revenue with theoretical revenue under a different policy.

C-Efficiency Ratio

• The C-efficiency ratio in South Africa averaged 63.6% between 2007 and 2013, which is relatively high compared to other Sub-Saharan African countries.
• The high C-efficiency ratio is attributed to South Africa’s limited number of exempted and zero-rated goods and services, suggesting a more effective revenue administration system.
• The ratio fluctuated, especially after 2007, due to compliance changes and economic shifts.

Impact of GDP Revisions

• The 2008 SNA revisions and the inclusion of new data sources led to an upward revision of GDP estimates between 2006 and 2013.
• These revisions resulted in an increase in potential VAT revenues by 2-4% and a corresponding increase in compliance gap estimates by 1-3%.
• The revisions mainly affected the composition of GDP and final consumption, not the overall tax base.

Key Trends and Observations

• VAT Revenue Growth: VAT revenues in nominal terms increased from 70 billion R in FY2002 to 238 billion R in FY2013, largely due to economic growth and inflation.
• VAT to GDP Ratio: The VAT to GDP ratio increased from 2002 to 2006, peaking at 7.3%, then fell to 6.0% in 2009, and recovered to 6.9% in 2013.
• Sectoral Contributions: VAT collections were highly concentrated in certain sectors:
  • Sector 8: Financial intermediation, insurance, real estate, and business services (19.4% of GDP in 2013).
  • Sector 6: Wholesale and retail trade, catering, and accommodation (13.7% of GDP in 2013).
  • Sector 3: Manufacturing (13.0% of GDP in 2013).
• Compliance Gap Decomposition:
  • The assessment gap (difference between declared VAT and potential VAT) initially increased and then decreased.
  • The collection gap (difference between assessed VAT and collected VAT) gradually increased over the period.
  • The collection gap reflects a first-in-first-out approach for refunds, which may lead to increased uncollectible liabilities over time.

Recommendations

• SARS should continue monitoring the VAT compliance gap to evaluate its performance and inform tax policy decisions.
• SARS should use the revised supply and use tables (to be released in February 2015) to update its VAT gap estimates and sectoral composition.
• SARS could consider expanding tax gap analysis to include other major taxes.
• There is a need for greater integration of revenue and compliance analyses to support systemic compliance risk management.
• More detailed analysis of revenues from individual industry sectors and taxpayer segments could improve strategic risk assessment.

Methodology and Data Sources

• The RA-GAP model uses a top-down approach, analyzing the potential VAT base using national accounts data.
• The compliance gap is calculated using accrual-based data (not net cash collections), which provides a more stable estimate than SARS’s approach.
• SARS data is used for actual collections, while Stats SA provides the potential VAT estimates.
• The C-efficiency ratio is a key indicator that combines the compliance gap and policy gap to measure the overall efficiency of VAT collection.

Conclusion

The report highlights that while South Africa's VAT system has relatively high compliance and policy efficiency, the compliance gap has shown fluctuations due to economic and policy changes. The RA-GAP methodology provides a robust and stable framework for estimating the VAT gap, which can be used to support better tax administration and policy planning. Further integration of data and analysis across sectors is recommended to enhance the accuracy and depth of future VAT gap assessments.