1887

Kenya

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This peer review report analyses the practical implementation of the standard of transparency and exchange of information on request in Kenya, as part of the second round of reviews conducted by the Global Forum on Transparency and Exchange of Information for Tax Purposes since 2016.

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.

Energy efficiency continues to play a critical role in improving living standards around the world and is the first and best response to simultaneously meet affordability, supply security and climate goals. As Kenya looks to drive forward its clean energy transition in the face of the global climate and energy crises, there is a growing role for energy efficiency in supporting its aims to ensure affordable, reliable access to electricity while allowing greater integration of renewable energy technologies.

As part of the Energy Efficiency in Emerging Economies (E4) Programme, this report aims to provide an overview of current progress in energy efficiency and its potential for improving people's lives through delivery of a sustainable, modern energy system. The report assesses progress, opportunities and challenges for energy efficiency across four key areas: Buildings, Appliances, Clean Cooking and Electricity System Losses.

The report gives suggestions on potential policy actions that can be taken to enhance progress, drawing on case studies and examples from Kenya and other countries in Africa and globally. It represents part of the IEA’s growing collaboration with Kenya in the build-up to the IEA’s Energy Efficiency in Emerging Economies Training Week and 9th Annual Global Conference on Energy Efficiency, which will take place in Nairobi in March and May 2024 respectively.

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.

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.

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.

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.

English

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.

French

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.

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