世界银行-世界银行企业所得税（CIT）激励数据库方法和用户手册_理解_使用和与世界银行CIT激励数据库互动的指南（英）-2024.12_38页_770kb

Summary of the World Bank Corporate Income Tax (CIT) Incentives Database

Core Content

The World Bank Corporate Income Tax (CIT) Incentives Database is a comprehensive resource that provides economy-level, time series data on corporate tax parameters and incentives, covering 47 economies from 2009 to 2020/2022. It was developed by the World Bank's Investment Climate Unit in collaboration with the Global Fiscal Policy and Sustainable Growth Unit. The database is designed to address data gaps and support analysis on the role of tax incentives in economic policy.

The database is composed of two main datasets:

• Corporate Income Tax Parameters Dataset: Captures the standard tax rules applicable to most firms, such as statutory CIT rates, loss carry forward/backward, and depreciation rates.
• Corporate Income Tax Incentives Dataset: Includes various types of tax incentives that offer favorable conditions compared to the standard tax system, such as tax holidays, reduced tax rates, and patent boxes.

The data is manually compiled and cross-checked for accuracy, drawing from sources like tax accounting firms, investment laws, and World Bank operational engagements. It includes detailed information on the design, conditions, generosity, and sources of each tax incentive.

Main Objectives and Applications

• To provide insights into the prevalence and design of corporate tax incentives.
• To support policymakers, practitioners, and academics in understanding the impact of tax incentives on economic outcomes.
• To enable cross-economy benchmarking and policy alignment with national strategic goals.
• To facilitate research on the effectiveness, risks, and implications of tax incentives for investment, FDI, and sustainable development.

The database is particularly useful for analyzing how incentives affect global taxation, domestic revenue mobilization, FDI attraction, and climate outcomes. It can also be used to track the cost-effectiveness and fiscal implications of incentive programs.

Key Features

• Economy Coverage: Includes both high-income and developing economies, with a focus on 40 original economies (publicly accessible via the streamlined version).
• Time Series: Data spans from 2009 to 2020/2022.
• Tax Parameters: 11 parameters, including standard and less favorable versions (e.g., slower depreciation, reduced loss carry forward).
• Tax Incentives: 13 types of incentives, grouped into profit-based, cost-based, and other categories. Profit-based incentives include tax holidays, reduced tax rates, extended loss carry forward/backward, and patent boxes. Cost-based incentives include accelerated depreciation, tax deductions above 100%, and tax credits.
• Conditions: Over 25 categories of eligibility criteria, including firm characteristics, sector-based (using ISIC Rev.4 codes), location-based, and performance-based (e.g., investment, export, R&D, job creation).
• Generosity: Measures the benefit duration, tax rates, and specific features of each incentive, including whether they allow carry forward/backward, have caps, or are time-limited.
• Streamlined Version: A publicly accessible, user-friendly version available through the World Bank Development Data Hub and the 2024 Prosperity Insight Note. It includes data for 40 economies and is intended for broader use and analysis.

Limitations and Considerations

• The database does not cover all tax parameters and incentives, only those most commonly used or of particular interest.
• It focuses exclusively on direct CIT incentives, excluding other types such as indirect incentives or those related to other taxes.
• The data is subject to errors and omissions, given the manual nature of compilation and the complexity of tax systems.
• Caveats: The data should be interpreted alongside empirical research on the impact and risks of tax incentives, as it only maps their availability, not their effectiveness.
• There is a risk of misinterpretation, as benchmarking incentives may encourage more incentives to be offered, potentially undermining fiscal discipline.

Structure and Organization

The database follows a structured format with the following core data points for each entry:

1. Tax Year: The year for which data is collected.
2. Economy-Specific Characteristics: Income level and region based on World Bank classifications.
3. Parameter or Incentive Type: The specific type of tax parameter or incentive.
4. Conditions: Eligibility criteria for firms to qualify for the incentive.
5. Generosity: Details on the benefit duration, tax rates, and other features.
6. Information Sources: References to the original documents or laws used to code the data.

Each dataset is organized by economy and year, with entries capturing tax parameters or incentives and their associated conditions and generosity.

Streamlined Database

The streamlined version of the database is designed for external users and includes:

• A simplified structure for easier access and use.
• Data on 40 economies (original ones), with time series from 2009 to 2020.
• Focus on key variables such as tax holidays, reduced tax rates, and extended loss carry forward.
• It is planned for publication through the World Bank Development Data Hub.

Conclusion

The World Bank CIT Incentives Database is a valuable tool for understanding the design, scope, and impact of corporate tax incentives. It provides systematic, comparable data across economies, supporting policy analysis, diagnostics, and reform initiatives. However, its manual compilation and limited scope mean that users should be cautious in interpreting the data and consider combining it with empirical evidence on the economic and fiscal implications of incentives.