Norway

This profile provides a concise and policy-relevant overview of health and the health system in Norway as part of the broader series of the State of Health in the EU country profiles. It provides a short synthesis of: the health status in the country; the determinants of health, focussing on behavioural risk factors; the organisation of the health system; and the effectiveness, accessibility and resilience of the health system. This edition has a special focus on the impact of COVID‑19.

This profile is the joint work of the OECD and the European Observatory on Health Systems and Policies, in co-operation with the European Commission.

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.

Increasing productivity at farm level is a key policy objective across most countries and fundamental to the overall performance of agricultural and food systems. This paper applies dynamic statistical methods to farm level data in order to identify the determinants of farm performance over time, in terms of productivity and measures of local sustainability. The analysis sheds light on the effects of policies on productivity, and the links between productivity and sustainability outcomes. It draws on key findings from seven case studies: crop farms in Australia, France, Italy and the United Kingdom (England and Wales); and dairy farms in the Czech Republic, Denmark and Norway, with different sample periods, from the most recent three decades to the last five years. A key finding is that policy changes increasing the degree of decoupling of payments have a positive impact on productivity. Furthermore, with the right incentives, productivity growth can be more locally sustainable insofar as farms can produce more output with less inputs that harm the environment. The detailed background work on the seven samples of crops and dairy farms in the above countries is available in OECD Food, Agriculture and Fisheries Paper N°165.

This paper provides detailed farm level data evidence on the dynamics of farm performance from case studies covering crop farms in Australia, France, Italy and the United Kingdom (England and Wales), and dairy farms in the Czech Republic, Denmark and Norway, with different recent sample periods of five to thirty years. An increase in productivity over time is common to all countries and most crop farm classes, but productivity dynamics vary significantly. In Australia, strong productivity growth among the most productive crop farms has led to an increase in the gap between the highest and lowest performing farms; whereas in France, Italy and the United Kingdom, productivity growth was weak among the most productive crop farms and the lowest performing farms closed the productivity gap. Productivity also increased among dairy farms, with an increasing gap between the most and the least productive farm classes in the three sample countries. The impact of policy changes on performance dynamics is analysed for decoupled payments in France and England, and dairy payments in the Czech Republic. The main findings across countries and policy implications are discussed in OECD Food, Agriculture and Fisheries Paper N°164.

In addition to a longstanding CO₂ component in fuel taxes, Norway has used two main policy instruments to decarbonise its car fleet. A CO₂-differentiated registration tax gives strong and continuous incentives to buy cars with lower registered CO₂ intensity (or higher fuel efficiency). Moreover, generous tax incentives, including registration tax and VAT exemptions, are applied to zero-emission cars, and have given Norway the highest electric vehicle sales in the world. This paper analyses effects of the two instruments (the vehicle registration tax and tax exemption) using an excellent and detailed data set.

STRING is a political cross-border organisation spanning five cities (the Free and Hanseatic City of Hamburg, Copenhagen, Malmö, Gothenburg and Oslo) and eight regions (Schleswig-Holstein, Region of Southern Denmark, Region Zealand, Capital Region of Denmark, Region Skåne, Region Halland, Västra Götalandsregionen and Viken County) across Germany, Denmark, Sweden and Norway. Home to around 14 million inhabitants, STRING has good potential to become a leading European megaregion and an internationally acknowledged Green Hub if governments “think big” and work together beyond their own boundaries. Building on its green expertise and high levels of innovation and quality of life, STRING could take advantage of current opportunities such as the construction of the Fehmarn Belt Fixed Link to reap the benefits of agglomeration economies and establish itself as a sustainable megaregion. However, time is of the essence. Seizing the political momentum of the coming decade, including the momentum to support a green recovery from COVID-19, will be critical to advance STRING’s green vision and shape a future-proof economic model.

Sound and timely data and statistics are essential for designing better policies for better lives. When the right data are available and used by policy makers, they play a crucial role in managing crises, as revealed during the COVID-19 pandemic. They are also indispensable for transparent and accountable delivery of policies and services and to guide business and investment decisions in line with the Sustainable Development Goals (SDGs).

The first 2021 edition of the OECD’s Data for Development Profiles is a unique source of information and insights on how members of the Development Co-operation Committee (DAC) allocate official development assistance (ODA) to statistical capacity development and strengthening data ecosystems in low and middle income countries. By providing a comprehensive overview of members’ data and statistical policy priorities, strategies, funding, delivery modalities and partnerships, the profiles serve as a baseline for co-ordinating international support and highlight ways forward for greater impact and effectiveness.

This report assesses the potential for mission-oriented innovation policies (MOIPs) to contribute to the sustainable transition in Norway, and examines the challenges and opportunities that MOIPs would present. As part of a series of MOIP national case studies, the report finds that MOIPs could contribute significantly to alleviating some of the long-standing limitations of Norway’s innovation system, acknowledging the country’s strong advantages for mission-orientation and its innovative policy experimentations, such as the Pilot-E scheme and the CLIMIT programme. It proposes two options for Norway’s future MOIP approach, with corresponding recommendations. Under a ‘scaling-up’ option, Norway would develop a system to manage the implementation of cross-agency schemes in relevant challenge areas. A ‘levelling-up’ option would involve the programming of a pilot mission in the four-year investment plan of the next edition of Norway’s Long Term Plan, with support from high-level policy and political actors.

Cette base de données annuelles couvre un large éventail de statistiques sur le commerce international des pays de l'OCDE. Elle constitue une source fiable de données en valeur par produit et par pays partenaire. Chacun des trois premiers volumes des Statistiques du commerce international par produit présente les statistiques relatives à six pays, celles-ci étant publiées dès réception des données. Les quatrième et cinquième présentent sept pays et le sixième volume porte sur cinq pays ainsi que les deux groupements de pays de l'OCDE ; OCDE Total et UE28-Extra.

Pour chaque pays sont présentés des tableaux se référant aux sections et divisions de la classification Système Harmonisé SH 2012 (une et deux positions). Chaque tableau permet de visualiser à la fois les importations et les exportations des cinq années les plus récentes par produit pour plus de soixante-dix pays partenaires ou groupes de pays partenaires.

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 three volumes of International Trade by Commodity Statistics each contain the tables for six countries, published in the order in which they become available. The fourth and fifth contain seven countries and the sixth volume includes five countries as well as 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.

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.

Norway is performing unevenly across its four agricultural policy objectives. While Norway enjoys a high level of food security and is meeting its aim of maintaining agricultural production across the country, both environmental performance and the efficient creation of value added along the food chain are compromised by support policies linked to production levels. Support to producers relative to gross farm receipts is the highest among OECD countries, with 59% of farmers’ revenues coming from government support. Only 3% of total support to agriculture is dedicated to research and innovation. Moreover, while Norway has strong public research institutions and well-designed tax deductions, the private sector lacks the right policy incentives to innovate.

This review proposes a new policy approach, centred around innovations that would enable Norway to achieve its objectives and improve the productivity, sustainability and resilience of its agro-food sector. Specific recommendations include increasing the responsiveness of the sector to markets, giving farmers greater flexibility in making production decisions, placing greater emphasis on agri-environmental outcomes, and increasing the role of the private sector in research and innovation.

This paper analyses the role of job mobility for job reallocation and aggregate wage growth in Norway and the United States using linked employer-employee data. It provides four main findings. First, despite lower overall job mobility in Norway, the speed of worker reallocation from low-wage to high-wage firms is similar to that in the United States. Second, job reallocation tends to be counter-cyclical in Norway, but pro-cyclical in the United States, due to the weaker tendency of high-wage firms in the United States to hoard workers during economic downturns. Third, the reallocation of workers from low to high wage firms through job-to-job mobility disproportionately benefits high-skilled workers in Norway and low-skilled workers in the United States. Fourth, the slowdown in aggregate wage growth primarily reflects a weakening of on-the-job wage growth in both countries rather than a reduced role of job reallocation between low and high-wage firms (although this does also play a role in the United States).