Building an Investment Tax Incentives database

Создание базы данных о налоговых стимулах для инвестиций
Alessandra Celani, Luisa Dressler, Martin Wermelinger
2022-02-19

Corporate income taxInvestment tax incentivesOECD databaseSpecial Economic ZonesSustainable Development Goals
The OECD has constructed an Investment Tax Incentives database which compiles granular details on corporate income tax (CIT) incentives for investment. This paper presents the methodology used to develop the database and insights from an initial data collection in 36 developing countries. The paper describes a classification to structure quantitative and qualitative information on investment tax incentives across three dimensions: design features, eligibility conditions and their legal basis. The data reveal that tax exemptions are the most widely used CIT instrument across the 36 countries and identifies notable differences between the incentives used within and outside of Special Economic Zones (SEZs). In 80% of countries covered, at least one tax incentive supports an area related to the Sustainable Development Goals.
1
In 80% of the countries covered, at least one tax incentive supports an area related to the Sustainable Development Goals.
2
Initial data from 36 developing countries show that tax exemptions are the most widely used corporate income tax incentive.
3
The OECD developed an Investment Tax Incentives database compiling granular information on corporate income tax incentives for investment.
4
The database classifies investment tax incentives across design features, eligibility conditions, and legal bases, integrating quantitative and qualitative information.
5
The types of incentives used inside and outside Special Economic Zones differ notably across the countries studied.

OECD Investment Tax Incentives database on corporate income tax (CIT) incentives for investment

the design features, eligibility conditions, legal bases, prevalence, and Sustainable Development Goal-related uses of investment tax incentives

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Publication Date
2022-02-19
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Authors
Alessandra Celani
Luisa Dressler
Martin Wermelinger
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