Sweden

The Rethinking Regional Attractiveness in the New Global Environment report highlights lessons learned from multiple regional case studies from five EU countries (Ireland, Italy, Portugal, Spain and Sweden), additional work with Latin American and Caribbean regions, and a series of webinars and one-on-one dialogues on rethinking regional attractiveness. The OECD’s innovative multidimensional approach to assessing regional attractiveness considers global engagement beyond international connections and economic factors alone. The methodology considers more than 50 indicators to develop regional attractiveness profiles covering six domains of attractiveness: economic attraction, connectedness, visitor appeal, natural environment, resident well-being, and land-use and housing.

The report helps regional and national policy makers to understand how individual regions fare in a new global environment that continues to deal with the impacts of the COVID-19 crisis, compounded by the consequences of Russia’s war of aggression against Ukraine and existing megatrends – all of which produce asymmetric impacts within and between countries and regions – and identify the policy levers available to enhance their attractiveness to the international target groups of investors, talent, and visitors. It also considers the need to co-ordinate across levels of government, across policy fields, and with private stakeholders, and highlights good practices to implement regional attractiveness policies.

This reliable source of yearly data covers a wide range of statistics on international trade of OECD countries and provides detailed data in value by commodity and by partner country. The first four volumes each contain the tables for six countries, published in the order in which they become available. The fifth contains seven countries and the sixth volume also includes the OECD country groupings OECD Total and EU28-Extra.

For each country, this publication shows detailed tables relating to the Harmonised System HS 2012 classification, Sections and Divisions (one- and two- digit). Each table presents imports and exports of a given commodity with more than seventy partner countries or country groupings for the most recent five-year period available.

After a relatively strong performance during and after the pandemic, short-term growth prospects are weak. High inflation has eroded real wages and tighter monetary policy has increased borrowing costs and led to a housing price correction. Macroeconomic policies should ensure that higher inflation does not become entrenched. Better matching skills to labour demand, loosening rent controls and improving the integration of disadvantaged groups into the labour market could further boost employment and lay the ground for an inclusive recovery. Income taxation and the social safety net could also better incentivise work, in the context of population ageing and mounting spending pressures ahead. Sweden is among the OECD’s best performers in reducing greenhouse gas emissions, with a comprehensive policy framework and relatively efficient policies. However, the decision to reduce biofuel blending requirements will likely move the 2030 reduction target out of reach unless compensated by new ambitious measures. Completing a nascent green industrial revolution will require considerable investments in electricity generation, storage and transmission, but long planning and permitting procedures slow many key projects down. Attracting the people and skills to run industry and complementary public services is a particular challenge for northern communities already facing labour shortages.

SPECIAL FEATURES: CLIMATE POLICIES AND SWEDEN’S GREEN INDUSTRIAL REVOLUTION

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 report provides input to a national review of the public research funding system in Sweden. It is designed to inform a broader dialogue that is taking place amongst different research stakeholders in Sweden. The report contains proposals and options for changes for Swedish public funding of research and innovation to effectively promote research excellence, support innovation and respond to societal needs. These proposals are supported by relevant international examples. The analysis takes into account insights from the OECD review of innovation policy in Sweden in 2016 and recent OECD work on different aspects of public research funding and research infrastructure.

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.

 

This work leverages globally consistent data on parks from Google Maps, in combination with the computational power of Google Maps Directions API to quantify accessibility to parks across nearly 500 metropolitan areas in six countries: Estonia, France, Greece, Mexico, Sweden, and the United States. We combined high resolution population data from Worldpop with parks data and navigation estimates to measure: (1) Fraction of the population with access to parks within a 10-minute walk; and (2) the median walking time to the closest park. We find large differences in access to parks between countries, as well as large variability across cities and their respective commuting zones. To demonstrate how this framework can support cross country comparisons and efforts to track progress towards SDG11, we assessed access to parks by income group in selected countries, finding that the median walking time to a park is shorter for residents of low income neighbourhoods both in French and American metropolitan areas.

The paper discusses the implications of recent advances in artificial intelligence for knowledge workers, focusing on possible complementarities and substitution between machine translation tools and language professionals. The emergence of machine translation tools could enhance social welfare through enhanced opportunities for inter-language communication but also create new threats because of persisting low levels of accuracy and quality in the translation output. The paper uses data on online job vacancies to map the evolution of the demand for language professionals between 2015 and 2019 in 10 countries and illustrates the set of skills that are considered important by employers seeking to hire language professionals through job vacancies posted on line.