Slovenia

Gross domestic product (GDP) is the standard measure of the value of final goods and services produced by a country during a period minus the value of imports. This subset of Aggregate National Accounts comprises comprehensive statistics on gross domestic product (GDP) by presenting the three different approaches of its measure of GDP: output based GDP, expenditure based GDP and income based GDP. These three different measures of gross domestic product (GDP) are further detailed by transactions whereby: the output approach includes gross value added at basic prices, taxes less subsidies, statistical discrepancy; the expenditure approach includes domestic demand, gross capital formation, external balance of goods and services; and the income approach includes variables such as compensation of employees, gross operating surplus, taxes and production and imports. Gross domestic product (GDP) data are measured in national currency and are available in current prices, constant prices and per capita starting from 1950 onwards.

 

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.

Ta profil je del širše serije zdravstvenih profilov držav v okviru pobude Stanje zdravja v EU in vsebuje jedrnat in politično usmerjen pregled zdravstvenega stanja in sistema zdravstvenega varstva v Sloveniji. Predstavlja jedrnato analizo, ki zajema naslednje ključne vidike: trenutno zdravstveno stanje v Sloveniji, determinante zdravja s poudarkom na vedenjskih dejavnikih tveganja, organizacijo slovenskega zdravstvenega sistema ter oceno učinkovitosti, dostopnosti in odpornosti zdravstvenega sistema. Poleg tega je v izdaji za leto 2023 predstavljeno tematsko poglavje o stanju duševnega zdravja in z njim povezanih storitev v Sloveniji.

Ta profil je rezultat sodelovanja OECD in Evropskega observatorija za zdravstvene sisteme in politike, ki je bil izveden v sodelovanju z Evropsko komisijo.

This profile provides a concise and policy-focused overview of the state of health and the healthcare system in Slovenia, as a part of the broader series of Country Health Profiles from the State of Health in the EU initiative. It presents a succinct analysis encompassing the following key aspects: the current health status in Slovenia; the determinants of health, focusing on behavioural risk factors; the organisation of the Slovenian healthcare system; and an evaluation of the health system's effectiveness, accessibility, and resilience. Moreover, the 2023 edition presents a thematic section on the state of mental health and associated services in Slovenia.

This profile is the collaborative effort of the OECD and the European Observatory on Health Systems and Policies, carried out in cooperation with the European Commission.

Smaller, more targeted, and more flexible than traditional education and training programmes, micro-credentials have become a prominent feature of education, training and labour market policy discussions in recent years. Several OECD countries have already started the development of national micro-credential ecosystems, and many others are looking to follow suit.

This OECD Education Policy Perspective serves as Part B in a two-part series of summary papers. The first publication, Paper A, examined the evolving landscape of micro-credentials, with a particular focus on the development of public policies that can foster effective utilisation of micro-credentials for lifelong learning, upskilling and reskilling. This publication, Paper B, presents case studies from four European Union Member States – Finland, the Slovak Republic, Slovenia and Spain. The document was authored by Roza Gyorfi and Shizuka Kato from the OECD Higher Education Policy Team and Thomas Weko from George Washington University.

This paper provides evidence on the impact of digitalisation on productivity in Slovenia during the COVID-19 crisis. The pandemic affected overall labour productivity negatively. Nonetheless, results show that firms that were more ICT-intensive before the pandemic experienced a smaller decline in their labour productivity growth compared to their less ICT-intensive peers in the same 2-digit level sector. This resilience effect was strongest for firms that are integrated in global value chains. A second finding is that COVID-19 resulted in productivity-enhancing reallocation of labour to ICT-intensive firms, reflecting that these firms registered higher employment growth relative to their less ICT-intensive peers during the pandemic. A third finding is that high levels of state ownership in a sector was associated with less productivity-enhancing reallocation. This suggests that state-owned enterprises retained workers that could be redirected to more productive firms. Together, these findings highlight the potential of digitalisation to support resilience and stronger productivity growth, although labour market rigidities and state ownership hamper the positive impact of digitalisation.

This paper provides evidence on the effects of digitalisation on the labour market in Slovenia using a unique dataset of Slovenian workers and firms for the years 2016 to 2020. Results show that at the firm level, digitalisation – measured in terms of ICT investment, is associated with positive and statistically significant effects on employment. However, job growth is not evenly distributed: High-skilled workers and younger workers benefit the most from employment gains, whereas there is little to no employment increases for low- and medium-skilled workers and older workers aged 50 or more. Furthermore, employment effects from digitalisation are strongest for private manufacturing firms. In contrast, ICT investment by state-owned firms is not associated with employment gains.

This paper investigates the demand for language skills using data on online job vacancies in 27 European Union member countries and the United Kingdom in 2021. Evidence indicates that although Europe remains a linguistically diverse labour market, knowing English confers unique advantages in certain occupations. Across countries included in the analyses, a knowledge of English was explicitly required in 22% of all vacancies and English was the sixth most required skill overall. A knowledge of German, Spanish, French and Mandarin Chinese was explicitly demanded in between 1% and 2% of all vacancies. One in two positions advertised on line for managers or professionals required some knowledge of English, on average across European Union member countries and across OECD countries in the sample. This compares with only one in ten positions for skilled agricultural, forestry and fishery workers and among elementary occupations.

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.

The Pensions at a Glance database includes reliable and internationally comparable statistics on public and mandatory and voluntary pensions. It covers 34 OECD countries and aims to cover all G20 countries. Pensions at a Glance reviews and analyses the pension measures enacted or legislated in OECD countries. It provides an in-depth review of the first layer of protection of the elderly, first-tier pensions across countries and provideds a comprehensive selection of pension policy indicators for all OECD and G20 countries.

Gross domestic product (GDP) is the standard measure of the value of final goods and services produced by a country during a period minus the value of imports. This subset of Aggregate National Accounts comprises comprehensive statistics on gross domestic product (GDP) by presenting the three different approaches of its measure of GDP: output based GDP, expenditure based GDP and income based GDP. These three different measures of gross domestic product (GDP) are further detailed by transactions whereby: the output approach includes gross value added at basic prices, taxes less subsidies, statistical discrepancy; the expenditure approach includes domestic demand, gross capital formation, external balance of goods and services; and the income approach includes variables such as compensation of employees, gross operating surplus, taxes and production and imports. Gross domestic product (GDP) data are measured in national currency and are available in current prices, constant prices and per capita starting from 1950 onwards.