1887

Pakistan

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Under BEPS Action 14, members of the OECD/G20 Inclusive Framework on BEPS have committed to implement a minimum standard to strengthen the effectiveness and efficiency of the mutual agreement procedure (MAP). The MAP is included in Article 25 of the OECD Model Tax Convention and commits countries to endeavour to resolve disputes related to the interpretation and application of tax treaties. The BEPS Action 14 Minimum Standard has been translated into specific terms of reference and a methodology for the peer review and monitoring process. The initial peer review process was conducted in two stages. Stage 1 assessed countries against the terms of reference of the minimum standard according to an agreed schedule of review. Stage 2 focused on monitoring the follow-up of any recommendations resulting from jurisdictions' Stage 1 peer review report. Following the conclusion of the initial peer review process in 2022, a continued monitoring process has started whereby all Inclusive Framework member jurisdictions will be subject to continued monitoring: jurisdictions that have "meaningful MAP experience" would undergo a full peer review process once every four years and those that do not would undergo a two-stage simplified peer review process. This report reflects the outcome of Stage 1 of the simplified peer review of the implementation of the BEPS Action 14 Minimum Standard by Pakistan.

This report outlines results from the initial pilot-testing of a Scorecard to assess the enabling environment for investment in water security, referred to as "the Scorecard”. Developed in collaboration with the Asian Development Bank and partners, the Scorecard aims to identify conditions for attracting and maintaining investment in water security. The report outlines the Scorecard's rationale, scoring methodology, and presents its main components. It also provides results from seven Asian countries, namely, Bangladesh, Mongolia, Nepal, Pakistan, the Philippines, Uzbekistan, and Sri Lanka. Armenia's findings from a subsequent Eastern European pilot test are also incorporated. This is the first in a sub-set of working papers within the Environment Working Paper series presenting research on the enabling environment for investment in water security. It marks the beginning of a process to apply the tool and support policy reforms. The report refrains from offering policy recommendations, focusing on testing the scorecard's ability to assess conditions to attract and sustain investing in water security. For an illustration of country-specific policy recommendations, please refer to the forthcoming Environment Working Paper “Enabling environment for investment in water security: Pilot test in the EU’s Eastern Partner Countries - Armenia case study”.

Countries in Asia and the Pacific face a heightened risk of flooding as disasters increase worldwide due to climate change. Yet these countries often lack the infrastructure necessary to prepare for and respond to floods effectively. When flood protection measures exist, they generally rely only on grey, hard-engineered infrastructure, which has been increasingly challenged in recent years. Nature-based solutions (NbS) offer a new approach for flood management, with several co-benefits beyond the reduction of risks. This approach has gained recognition from policy makers in the region, but they are confronted with a number of challenges, including the lack of a clear, common definition and guidelines, as well as financing issues. The growing imperatives of climate adaptation call for complementary, innovative and forward-looking solutions, such as a combined approach incorporating both NbS and grey infrastructure.

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.

Subnational governments in Asia and the Pacific are key providers of the public services and infrastructure required to achieve the Sustainable Development Goals. Given this role, it is essential that policymakers and development partners understand and support the effective functioning of multi-level governance structures and subnational government finances across the region.

This joint OECD-ADB report provides a comprehensive overview of subnational governments across Asia and the Pacific. It covers over 467,000 subnational governments from 26 countries, which represent 53% of the world’s population and 40% of global GDP. On average in 2020, subnational governments in the region accounted for 29% of total public expenditure (8.8% of GDP), 35% of total public revenue (8.5% of GDP) and 38% of public investment (2% of GDP).

Harnessing unique data from the 3rd edition of the OECD-UCLG World Observatory on Subnational Government Finance and Investment, the analysis highlights how decentralisation and territorial reforms have reconfigured the structures and finances of subnational governments in the region. It covers a range of topics including fiscal rules, financial management capacity, priority-based budgeting, asset management and the use of public-private partnerships.

This peer review report analyses the practical implementation of the standard of transparency and exchange of information on request in Pakistan, 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 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 publication contains the 2022 Second Round Peer Review Report on the Exchange of Information on Request for Pakistan. It refers to Phase 1 only (Legal and Regulatory Framework).

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 annual publication compiles comparable tax revenue statistics for Australia, Bangladesh, Bhutan, Cambodia, People’s Republic of China, Cook Islands, Fiji, Indonesia, Japan, Kazakhstan, Korea, Kyrgyzstan, Lao People’s Democratic Republic, Malaysia, Maldives, Mongolia, Nauru, New Zealand, Pakistan, Papua New Guinea, Philippines, Samoa, Singapore, Solomon Islands, Thailand, Tokelau, Vanuatu and Viet Nam. It also provides information on non-tax revenues for selected economies. Based on the OECD Global Revenue Statistics database, the publication applies the OECD methodology to Asian and Pacific economies to enable comparison of tax levels and tax structures on a consistent basis, both among the economies of the region and with other economies worldwide. This edition includes a special feature on strengthening tax revenues in developing Asia. The publication is jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank, the Pacific Island Tax Administrators Association and the Pacific Community.

This report provides an overview of national practices to enable responsible business conduct (RBC) in state-owned enterprises (SOEs) by examining relevant legislation, policies and practices applicable to SOEs in a sample of OECD countries and developing and emerging economies.

The world is increasingly facing a technologically changing employment landscape and such changes are directly affecting the future demand for skills. For regional economies built on labour migration, the impending changes will affect migrants and their families, their countries of origin and the recruitment systems they are attached to – and ultimately disrupt the development benefits of migration. This paper investigates how the future of the employment landscape will affect migration within the Abu Dhabi Dialogue, a regional consultative process for migration in Asia. It investigates the impending changes in the demand for skills in countries of destination, how such changes will affect migration processes and whether countries of origin are ready for the changes. It provides recommendations on how regional consultative processes can foster dialogue between key actors from both countries of origin and destination to better navigate future changes and ensure a smooth transition.

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 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.

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