Research and innovation
Analyses, articles and publications
This report presents the resource allocation for research and development (R&D) across a total of ten thematic and two technological areas and their sub-areas for the year 2021.
This paper revisits the estimation of private returns to R&D. In an extension of the standard approach, we allow for endogeneity of production decisions, heterogeneity of R&D elasticities, and asymmetric treatment of intramural and extramural R&D.
Immigrants made up 32 per cent of researchers and academic personnel in academia in 2021. Most of them had their background from Europe, while one in four were from Asia. About half of the researchers in natural sciences and engineering were people with an immigration background in 2021.
The analysis presented in this report looks at the completion of a doctoral degree and further careers among PhD-students funded by The Research Council of Norway within the energy and petroleum areas in the period 2005-2021.
The statistics and indicators presented in this report provide background data for the evaluation of natural sciences conducted by The Research Council of Norway.
The statistics and indicators presented in this report provide background data for the evaluation of of biosciences conducted by The Research Council of Norway.
The "resource curse" is a potential threat to all countries relying on export income from abundant natural resources such as fossil fuels.
Since 2005, the use of resources for research in the specialist health care services in Norway, i.e. public and private, non-profit hospitals (health trusts), has been surveyed annually (until 2017) and then biannually.
This paper investigates firm dynamics in the period before, during, and after an event consisting of a first published patent application.
In this report, we provide an overview of the development of R&D and growth in enterprises that have been granted funding from the Research Council of Norway (RCN) during the period 2006 to 2020. Using regression analysis, we estimate the effects of financial support from the RCN on R&D intensity (i.e., research and development total expenditures per employee), number of employees, turnover and productivity.