Albania
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 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 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 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 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 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 chapter focuses on the priority area that seeks to achieve a more circular plastics life cycle in Albania, with particular attention on marine litter and most common applications of plastics in packaging, construction and single-use plastic products. It provides a synopsis of the current developments and challenges within the existing policy landscape, highlights areas requiring improvement, and puts forth a set of policy recommendations supported by international good practices.
competition, tax, trade policy, regulatory reform and human capital.
Small and medium enterprises (SMEs) are the backbone of Western Balkan economies but until recently received relatively little attention from policy makers. Governments focused on consolidating macroeconomic stabilisation and the restructuring and privatisation of large companies. The adoption in 2003 of the European Charter for Small Enterprises contributed to a change in policy perspective.
The SME Policy Index 2007 presents the first comprehensive and comparative assessment of progress made in implementing the Charter. The assessment is based on the SME Policy Index, an analytical tool designed by the OECD Investment Compact and the European Commission, and uses collaborative benchmarking to measure progress in the ten dimensions of the Charter:
• Education and training for entrepreneurship
• Cheaper and faster start-up
• Better legislation and regulation
• Availability of skills
• Improving online access for tax filing and company registration
• Getting more out of the single market
• Taxation and financial matters
• Strengthening the technological capacity of small enterprises
• Successful e-business models and top class business support
• Developing stronger, more effective representation of small enterprises
Governments of the region have already started to take action based on the results of the report through the creation in April 2007 of a South East European Investment Committee which aims to develop detailed guidelines on how to implement reforms in priority areas including the SME environment.
Albania, Bosnia and Herzegovina, Croatia, FYR Macedonia, Montenegro, Serbia and UNMIK/Kosovo are assessed in this report. A second SME Policy evaluation will be conducted and published in 2009.
Educational work is a key element for both human capital formation and the promotion of peace and democratic values. It has therefore been identified as one of the priorities of the Stability Pact. The OECD was asked to be Co-ordinator for “General Education Policy and System Change” within the Education and Youth Task Force, and to carry out “Thematic Reviews of Education Policy” in the countries of the region. The main outcome of this project is a series of reports which provide both country overviews and a regional overview. These reports offer an analysis of the education system and address issues and barriers to reform and recommendations. The recommendations are designed to be of use for national policy-makers and to assist Stability Pact partner countries and institutions target regional assistance in order to achieve the goal of supporting South Eastern Europe towards European integration. These reports are part of the OECD’s ongoing co-operation with non-member economies around the world.
The SME Policy Index is a benchmarking tool designed for emerging economies to assess SME policy frameworks and monitor progress in policy implementation over time. The Index has been developed by the OECD in partnership with the European Commission (EC), the European Bank for Reconstruction and Development (EBRD), and the European Training Foundation (ETF) in 2006 for the Western Balkans. The South East European Centre for Entrepreneurial Learning (SEECEL) joined as an additional partner in 2014. The SME Policy Index has since 2006 been applied in four regions and nine assessment rounds overall.
The SME Policy Index: Western Balkans and Turkey 2016 presents the results of the fourth assessment of the Small Business Act for Europe in the Western Balkans and, since 2012, Turkey. The assessment framework is structured around the ten principles of the Small Business Act for Europe (SBA). It provides a wide-range of pro-enterprise measures to guide the design and implementation of SME policies based on good practices promoted by the EU and the OECD.
The Index identifies strengths and weaknesses in policy design, implementation and monitoring. It allows for comparison across countries and measures convergence towards good practices and relevant policy standards. It aims to support governments in setting targets for SME policy development and to identify strategic priorities to further improve the business environment. It also helps to engage governments in policy dialogue and exchange good practices within the region and with OECD and EU members.
Robust SME sectors are critical to the prosperity of the six Western Balkan economies and Turkey, accounting for over 70% of those employed in the business sector and generating 65% of value added in these seven economies. Yet their potential remains untapped, as SMEs across the region grapple with numerous challenges that hamper their growth and productivity. They are still under-represented in international trade, and their contributions to value-added remain comparatively low as they have difficulties in moving or expanding into high value-added activities.
This report provides a comprehensive overview of the implementation of the ten principles of the Small Business Act for Europe (SBA) in the seven EU pre-accession economies over the period 2016-18. It monitors progress against similar assessments performed over the past decade and identifies the outstanding challenges affecting SMEs. It also provides targeted recommendations to remove barriers to SME development and unleashing their potential for driving inclusive economic growth.