Czechia vs Russia: R&D tax expenditure and direct government funding of BERD

Czechia
0.4969 Percentage of GDP
in 2024
Russia
0.5138 Percentage of GDP
in 2020
Czechia rank
20th
Russia rank
19th

R&D tax expenditure and direct government funding of BERD over time

  • Czechia
  • Russia
00.20.40.6200020122024

How they compare

Russia currently reports 0.5138 Percentage of GDP against 0.4969 Percentage of GDP in Czechia, a difference of 0.0169 Percentage of GDP.

The two have swapped places 2 times across 21 shared years of data; in 2000 it was Czechia ahead.

Czechia ranks 20th and Russia ranks 19th of 33 countries.

Czechia has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Czechia Russia Difference Ahead
2000s 0.5006 Percentage of GDP 0.4707 Percentage of GDP 0.0299 Percentage of GDP Czechia
2010s 0.6076 Percentage of GDP 0.4922 Percentage of GDP 0.1154 Percentage of GDP Czechia
2020s 0.6535 Percentage of GDP 0.5138 Percentage of GDP 0.1397 Percentage of GDP Czechia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher r&d tax expenditure and direct government funding of berd, Czechia or Russia?
Russia, at 0.5138 Percentage of GDP against 0.4969 Percentage of GDP in Czechia as of 2020.
What is the difference in r&d tax expenditure and direct government funding of berd between Czechia and Russia?
0.0169 Percentage of GDP, with Russia ahead.
How many years of comparable data are there for Czechia and Russia?
21 years are reported by both, from 2000 to 2020.
How do Czechia and Russia rank globally for r&d tax expenditure and direct government funding of berd?
Czechia ranks 20th and Russia ranks 19th of 33 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as R&D tax expenditure and direct government funding of BERD — Government budget allocations for R&D (GBARD). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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

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About this data

Indicator
R&D tax expenditure and direct government funding of BERD — Government budget allocations for R&D (GBARD)
Unit
Percentage of GDP
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
46 places, 1,055 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.