R&D tax expenditure and direct government funding of BERD in Russia

Russia: R&D tax expenditure and direct government funding of BERD was 0.5599 Percentage of GDP in 2019. ▼ Falling

Latest (2019)
0.5599 Percentage of GDP
Change on year
up 12.6%
World rank
19th
of 33 countries
All-time high
0.6777 Percentage of GDP
in 2013
All-time low
0.4974 Percentage of GDP
in 2018
Years of data
10
2010–2019

R&D tax expenditure and direct government funding of BERD in Russia, 2010–2019

00.20.40.62010201420192010: 0.559 Percentage of GDP2011: 0.601 Percentage of GDP2012: 0.608 Percentage of GDP2013: 0.678 Percentage of GDP2014: 0.648 Percentage of GDP2015: 0.626 Percentage of GDP2016: 0.578 Percentage of GDP2017: 0.513 Percentage of GDP2018: 0.497 Percentage of GDP2019: 0.56 Percentage of GDP

Source: Organisation for Economic Co-operation and Development. Measured in Percentage of GDP.

Analysis

In 2019, r&d tax expenditure and direct government funding of berd in Russia stood at 0.5599 Percentage of GDP.

The figure is up 12.6% on the previous year and up 0.1% over ten years.

Over the whole period, r&d tax expenditure and direct government funding of berd in Russia peaked at 0.6777 Percentage of GDP in 2013 and was at its lowest, 0.4974 Percentage of GDP, in 2018.

Russia ranks 19th of 33 countries on this measure, in the middle of the range.

R&D tax expenditure and direct government funding of BERD in Russia, year by year

Annual values for R&D tax expenditure and direct government funding of BERD — Government budgets for R&D and tax incentive support for business R&D (GBARD+GTARD) in Russia, 2010 to 2019.
Year Percentage of GDP Change
2010 0.5594 Percentage of GDP
2011 0.6014 Percentage of GDP +7.5%
2012 0.6078 Percentage of GDP +1.1%
2013 0.6777 Percentage of GDP +11.5%
2014 0.6481 Percentage of GDP -4.4%
2015 0.6262 Percentage of GDP -3.4%
2016 0.5776 Percentage of GDP -7.8%
2017 0.5128 Percentage of GDP -11.2%
2018 0.4974 Percentage of GDP -3.0%
2019 0.5599 Percentage of GDP +12.6%

Russia compared with similar countries

  • Russia's 0.5599 Percentage of GDP is below the median for high income countries, which is 0.602 Percentage of GDP, 93% of the median. (29 countries reporting)
  • Russia's 0.5599 Percentage of GDP is below the median for Europe & Central Asia, which is 0.7274 Percentage of GDP, 77% of the median. (22 countries reporting)

Countries ranked near Russia

  1. 16 Luxembourg 0.602 Percentage of GDP compare
  2. 17 Canada 0.5811 Percentage of GDP compare
  3. 18 Greece 0.576 Percentage of GDP compare
  4. 20 Czechia 0.5426 Percentage of GDP compare
  5. 21 Australia 0.5272 Percentage of GDP compare
  6. 22 New Zealand 0.5262 Percentage of GDP compare

See the full ranking of 46 places →

More economy & growth data for Russia

All data for Russia →

Frequently asked questions

What is r&d tax expenditure and direct government funding of berd in Russia?
R&d tax expenditure and direct government funding of berd in Russia was 0.5599 Percentage of GDP in 2019, according to Organisation for Economic Co-operation and Development.
What is the highest r&d tax expenditure and direct government funding of berd recorded in Russia?
The highest recorded value was 0.6777 Percentage of GDP in 2013.
What is the lowest r&d tax expenditure and direct government funding of berd recorded in Russia?
The lowest recorded value was 0.4974 Percentage of GDP in 2018.
How does Russia rank for r&d tax expenditure and direct government funding of berd?
Russia ranks 19th out of 33 countries with data for 2019.
Is r&d tax expenditure and direct government funding of berd rising or falling in Russia?
Over the last ten years it is up 0.1%. The long-run trend across the full record is falling.
Where does this Russia 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 — Government budgets for R&D and tax incentive support for business R&D (GBARD+GTARD). Statizoid updates them automatically from the source API.

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R&D tax expenditure and direct government funding of BERD in Russia. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 18 September 2026, from https://economy.statizoid.com/stat/r-and-d-tax-expenditure-and-direct-government-funding-of-berd-government-budgets-for-r/russian-federation/

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About this data

Indicator
R&D tax expenditure and direct government funding of BERD — Government budgets for R&D and tax incentive support for business R&D (GBARD+GTARD)
Unit
Percentage of GDP
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
46 places, 973 data points, 2000–2024
Last refreshed

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.