Pakistan
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.
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 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 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.
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.
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.
Over the past ten years economic growth in Asia has contributed to a reduction of poverty as well as fertility rates, and greater prosperity has contributed to gains in life expectancy. However, at present many workers still work in informal employment, frequently for long hours at little pay and without social protection coverage. A growing demand for social support, extending the coverage of social protection benefits and improving the job quality of workers will be among Asia’s major challenges in future. This report considers these challenges, providing policy examples from countries to illustrate good practice, including Bangladesh, Indonesia, Japan, Korea, Malaysia, Pakistan, Singapore and Viet Nam.