Kenya
Corporate tax incentives reduce investment costs for businesses, which may affect investment and location decisions. They apply through different designs and interact with countries’ standard tax systems, often making it difficult for tax policy makers and researchers to compare their generosity and assess their impacts across countries. This paper develops a methodology to calculate forward-looking corporate effective tax rates (ETRs) summarising tax relief from investment tax incentives into comparable indicators. It presents ETR indicators for seven Sub-Saharan African countries. Empirical results show that tax incentives substantially lower corporate taxation across these countries. On average, tax incentives reduce ETRs by 30% in the food and automotive industries compared to the standard tax treatment. ETRs often differ among taxpayers in a same sector and country - by up to 55%. The most generous tax treatment is typically offered within Special Economic Zones, where tax incentives can reduce ETRs to near zero.
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L’instauration de sociétés durables, équitables et résilientes est le défi qui se pose à l’humanité au XXIe siècle. Pour réaliser cette ambition, la communauté internationale du développement a besoin d’un cadre de référence commun, universel, pour travailler en plus étroite coopération. Les Objectifs de développement durable (ODD) répondent manifestement à ce besoin, mais des problèmes d’ordre technique, politique et structurel empêchent les fournisseurs de coopération pour le développement de les utiliser comme cadre de résultats commun.
S'appuyant sur sept études de cas, cette publication identifie deux facteurs déterminants et un évènement majeur qui peuvent aider à surmonter ces défis. En premier lieu, la prise en main par les pays doit être soutenue par la communauté internationale. En second lieu, les partenaires au développement doivent changer leur organisation pour réaliser les ODD. Enfin, en obligeant les gouvernements et les partenaires au développement à redéfinir leurs stratégies à long terme et à revoir leurs mécanismes internes, la pandémie de COVID-19 offre une occasion rare d’utiliser le cadre des ODD collectivement comme une feuille de route vers la reprise : cette crise peut changer la donne.
This publication contains the 2021 Second Round Peer Review Report on the Exchange of Information on Request of Kenya. It refers to Phase 1 only (Legal and Regulatory Framework).
Achieving sustainable, equitable and resilient societies is humankind’s challenge for the 21st century. In pursuit of this ambition, the international development community needs a shared, universal framework, within which to work more closely together. The Sustainable Development Goals (SDGs) are the obvious answer, but a number of technical, political and organisational challenges prevent development co-operation providers from using them as their common results framework. Based on seven case studies, this publication identifies two critical factors and one game changer that can help overcome those challenges. First, country leadership needs to be supported by the international community. Second, development partners need to change their set-ups in order to deliver on the SDGs. Finally, by forcing governments and development partners to reset their long-term strategies and rethink their internal systems, the COVID-19 pandemic provides them with a rare opportunity to use the SDG framework collectively as a roadmap to recovery: this can be a game changer.
Blockchain is mainstreaming, but the number of blockchain for development use-cases with proven success beyond the pilot stage remain relatively few. This paper outlines key blockchain concepts and implications in order to help policymakers reach realistic conclusions when considering its use. The paper surveys the broad landscape of blockchain for development to identify where the technology can optimise development impact and minimise harm. It subsequently critically examines four successful applications, including the World Food Programme’s Building Blocks, Oxfam’s UnBlocked Cash project, KfW’s TruBudget and Seso Global. As part of the on-going work co-ordinated by the OECD’s Blockchain Policy Centre, this paper asserts that post-COVID-19, Development Assistance Committee (DAC) donors and their development partners have a unique opportunity to shape blockchain’s implementation.
This paper explores how innovation in low and middle-income countries is enhancing their local and national responses to the COVID-19 pandemic. The paper also analyses how innovation could further address locally relevant development challenges by mobilising resources, improving processes and catalysing collaboration. Lastly it examines how international development organisations can improve their support for local and national innovation efforts.
This dataset comprises statistics pertaining to pensions indicators.It includes indicators such as occupational pension funds’asset as a % of GDP, personal pension funds’ asset as a % of GDP, DC pension plans’assets as a % of total assets. Pension fund and plan types are classified according to the OECD classification. Three dimensions cover this classification: pension plan type, definition type and contract type.
This dataset includes pension funds statistics with OECD classifications by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data includes plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. Data are presented in various measures depending on the variable: millions of national currency, millions of USD, thousands or unit.
Governments and providers of development co-operation increasingly use Sustainable Development Goal indicators to guide their policies and practices. The close examination of three large recipients of development co-operation: Ethiopia, Kenya and Myanmar across the sectors of Education, Sanitation and Energy reveals four inter-related challenges in using SDG indicators at country level. First, the cost of using specific SDG indicators varies in relation to indicator complexity – complementary investments in country statistical systems may be necessary. Second, providers synchronising their country-level results planning with partner countries find it easier to align to and measure SDG indicators together with the partner country and other providers. Third, reliance on joint monitoring approaches is helping providers reduce the cost of SDG monitoring. Finally, while disaggregating SDG data by gender and by urban-rural dimensions is common, other data disaggregation relevant to ensure that no one is left behind are rare.
This dataset comprises statistics pertaining to pensions indicators.It includes indicators such as occupational pension funds’asset as a % of GDP, personal pension funds’ asset as a % of GDP, DC pension plans’assets as a % of total assets. Pension fund and plan types are classified according to the OECD classification. Three dimensions cover this classification: pension plan type, definition type and contract type.
This dataset includes pension funds statistics with OECD classifications by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data includes plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. Data are presented in various measures depending on the variable: millions of national currency, millions of USD, thousands or unit.
This dataset comprises statistics pertaining to pensions indicators.It includes indicators such as occupational pension funds’asset as a % of GDP, personal pension funds’ asset as a % of GDP, DC pension plans’assets as a % of total assets. Pension fund and plan types are classified according to the OECD classification. Three dimensions cover this classification: pension plan type, definition type and contract type.
This dataset includes pension funds statistics with OECD classifications by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data includes plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. Data are presented in various measures depending on the variable: millions of national currency, millions of USD, thousands or unit.
This strategic foresight report assesses the interaction between demographics, economic development, climate change and social protection in six countries in East Africa between now and 2065: Ethiopia, Kenya, Mozambique, Tanzania, Uganda and Zambia. The report combines population projections with trends in health, urbanisation, migration and climate change and identifies the implications for economic development and poverty. It concludes by identifying policies to address seven grand challenges for social protection planners in national governments and donor agencies which emerge from the projections. These include: eliminating extreme poverty; extending social insurance in a context of high informality; the rapid growth of the working-age population, in particular the youth; adapting social protection to urban settings; protecting the poor from the effects of climate change; harnessing a demographic dividend; and substantially increasing funding for social protection.
This report contains the 2014 “Phase 2: Implementation of the Standards in Practice” Global Forum review of Kenya.
The Global Forum on Transparency and Exchange of Information for Tax Purposes is the multilateral framework within which work in the area of tax transparency and exchange of information is carried out by over 130 jurisdictions which participate in the work of the Global Forum on an equal footing.
The Global Forum is charged with in-depth monitoring and peer review of the implementation of the standards of transparency and exchange of information for tax purposes. These standards are primarily reflected in the 2002 OECD Model Agreement on Exchange of Information on Tax Matters and its commentary, and in Article 26 of the OECD Model Tax Convention on Income and on Capital and its commentary as updated in 2004, which has been incorporated in the UN Model Tax Convention.
The standards provide for international exchange on request of foreseeably relevant information for the administration or enforcement of the domestic tax laws of a requesting party. “Fishing expeditions” are not authorised, but all foreseeably relevant information must be provided, including bank information and information held by fiduciaries, regardless of the existence of a domestic tax interest or the application of a dual criminality standard.
All members of the Global Forum, as well as jurisdictions identified by the Global Forum as relevant to its work, are being reviewed. This process is undertaken in two phases. Phase 1 reviews assess the quality of a jurisdiction’s legal and regulatory framework for the exchange of information, while Phase 2 reviews look at the practical implementation of that framework. Some Global Forum members are undergoing combined – Phase 1 plus Phase 2 – reviews. The ultimate goal is to help jurisdictions to effectively implement the international standards of transparency and exchange of information for tax purposes.
This dataset includes pension funds statistics with OECD classifications by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data includes plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. Data are presented in various measures depending on the variable: millions of national currency, millions of USD, thousands or unit.