R&D tax expenditure and direct government funding of BERD — Indirect in Slovenia
Slovenia: R&D tax expenditure and direct government funding of BERD — Indirect was 0.1033 Percentage of GDP in 2024. ◆ Volatile
R&D tax expenditure and direct government funding of BERD — Indirect in Slovenia, 2000–2024
Source: Organisation for Economic Co-operation and Development. Measured in Percentage of GDP.
Analysis
The most recent figure for r&d tax expenditure and direct government funding of berd — indirect in Slovenia is 0.1033 Percentage of GDP, measured in 2024.
The figure is up 13.0% on the previous year and down 1.0% over ten years.
Over the whole period, r&d tax expenditure and direct government funding of berd — indirect in Slovenia peaked at 0.1195 Percentage of GDP in 2015 and was at its lowest, 0 Percentage of GDP, in 2000.
The series is highly variable year to year, so single readings are best treated with caution.
R&D tax expenditure and direct government funding of BERD — Indirect in Slovenia, year by year
| Year | Percentage of GDP | Change |
|---|---|---|
| 2000 | 0 Percentage of GDP | — |
| 2001 | 0 Percentage of GDP | — |
| 2002 | 0 Percentage of GDP | — |
| 2003 | 0 Percentage of GDP | — |
| 2005 | 0.0529 Percentage of GDP | — |
| 2006 | 0.0447 Percentage of GDP | -15.5% |
| 2007 | 0.0399 Percentage of GDP | -10.7% |
| 2008 | 0.0365 Percentage of GDP | -8.5% |
| 2009 | 0.0286 Percentage of GDP | -21.6% |
| 2010 | 0.0519 Percentage of GDP | +81.5% |
| 2011 | 0.0544 Percentage of GDP | +4.8% |
| 2012 | 0.0921 Percentage of GDP | +69.3% |
| 2013 | 0.0946 Percentage of GDP | +2.7% |
| 2014 | 0.1043 Percentage of GDP | +10.3% |
| 2015 | 0.1195 Percentage of GDP | +14.6% |
| 2016 | 0.1138 Percentage of GDP | -4.8% |
| 2017 | 0.1076 Percentage of GDP | -5.4% |
| 2018 | 0.0998 Percentage of GDP | -7.2% |
| 2019 | 0.0997 Percentage of GDP | -0.1% |
| 2020 | 0.0826 Percentage of GDP | -17.2% |
| 2021 | 0.1064 Percentage of GDP | +28.8% |
| 2022 | 0.0976 Percentage of GDP | -8.3% |
| 2023 | 0.0914 Percentage of GDP | -6.4% |
| 2024 | 0.1033 Percentage of GDP | +13.0% |
Biggest year-on-year movements
Years where R&D tax expenditure and direct government funding of BERD — Indirect in Slovenia changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2010 | +81.5% | 0.0286 Percentage of GDP | 0.0519 Percentage of GDP |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.0225 Percentage of GDP | 0 Percentage of GDP | 0.0529 Percentage of GDP | 9 |
| 2010s | 0.0938 Percentage of GDP | 0.0519 Percentage of GDP | 0.1195 Percentage of GDP | 10 |
| 2020s | 0.0963 Percentage of GDP | 0.0826 Percentage of GDP | 0.1064 Percentage of GDP | 5 |
Countries ranked near Slovenia
- 3 Türkiye 0.1431 Percentage of GDP compare
- 3 France 0.2689 Percentage of GDP compare
- 4 Netherlands 0.1185 Percentage of GDP compare
- 4 China 0.2426 Percentage of GDP compare
- 5 Austria 0.2354 Percentage of GDP compare
- 6 Belgium 0.2315 Percentage of GDP compare
- 7 Ireland 0.186 Percentage of GDP compare
- 7 Poland 0.0674 Percentage of GDP compare
- 8 Japan 0.1652 Percentage of GDP compare
- 9 Lithuania 0.0429 Percentage of GDP compare
- 9 Canada 0.1589 Percentage of GDP compare
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Frequently asked questions
- What is r&d tax expenditure and direct government funding of berd — indirect in Slovenia?
- R&d tax expenditure and direct government funding of berd — indirect in Slovenia was 0.1033 Percentage of GDP in 2024, according to Organisation for Economic Co-operation and Development.
- What is the highest r&d tax expenditure and direct government funding of berd — indirect recorded in Slovenia?
- The highest recorded value was 0.1195 Percentage of GDP in 2015.
- What is the lowest r&d tax expenditure and direct government funding of berd — indirect recorded in Slovenia?
- The lowest recorded value was 0 Percentage of GDP in 2000.
- How does Slovenia rank for r&d tax expenditure and direct government funding of berd — indirect?
- Slovenia ranks 6th out of 12 countries with data for 2024.
- Is r&d tax expenditure and direct government funding of berd — indirect rising or falling in Slovenia?
- Over the last ten years it is down 1.0%. The long-run trend across the full record is volatile.
- Where does this Slovenia data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of R&D tax expenditure and direct government funding of BERD — Indirect government support through R&D tax incentives (GTARD). Statizoid updates them automatically from the source API.
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About this data
The OECD R&D Tax Incentives database provides a set of indicators that reflect the level and structure of central and subnational government support for business R&D in form of R&D tax incentives and direct funding across OECD member countries and other major economies. This includes time-series indicators of tax expenditures for R&D, based on the latest OECD data collection on tax incentive support for R&D expenditures. Estimates of the cost of R&D tax support at subnational government level are reported whenever such provisions are applicable and relevant data are available. These estimates of the cost of central and subnational R&D tax relief have been combined with data on direct government funding of business expenditure on R&D (BERD), as compiled by National Statistical Offices based on reports from firms, in order to provide a more complete picture of government efforts to promote business R&D. Furthermore, these estimates are combined with data on Government budget allocations for R&D (GBARD) in the broader context of overall budgetary support for R&D activities undertaken by governments. Government budget allocations for R&D include direct funding provided to all sectors, including contributions to R&D programmes abroad. OECD (2019) provides a practical guide to using the OECD R&D Tax Incentives database, describing the R&D tax incentive time series data and highlighting their potential for internationally comparative work through descriptive indicators and econometric analysis.