Greece vs Lithuania: R&D tax expenditure and direct government funding of BERD

Greece
0.1012 Percentage of GDP
in 2024
Lithuania
0.0034 Percentage of GDP
in 2024
Greece rank
9th
Lithuania rank
12th

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

  • Greece
  • Lithuania
00.0250.050.0750.1200020122024

How they compare

Greece currently reports 0.1012 Percentage of GDP against 0.0034 Percentage of GDP in Lithuania, a difference of 0.0978 Percentage of GDP.

That makes Greece's figure about 29.8 times Lithuania's.

The two have swapped places 4 times across 25 shared years of data; in 2000 it was Greece ahead.

Greece ranks 9th and Lithuania ranks 12th of 38 countries.

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

Head to head by decade

Decade Greece Lithuania Difference Ahead
2000s 0.0078 Percentage of GDP 0.0051 Percentage of GDP 0.0027 Percentage of GDP Greece
2010s 0.024 Percentage of GDP 0.0064 Percentage of GDP 0.0177 Percentage of GDP Greece
2020s 0.0826 Percentage of GDP 0.0053 Percentage of GDP 0.0773 Percentage of GDP Greece

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, Greece or Lithuania?
Greece, at 0.1012 Percentage of GDP against 0.0034 Percentage of GDP in Lithuania as of 2024.
What is the difference in r&d tax expenditure and direct government funding of berd between Greece and Lithuania?
0.0978 Percentage of GDP, with Greece ahead.
How many years of comparable data are there for Greece and Lithuania?
25 years are reported by both, from 2000 to 2024.
How do Greece and Lithuania rank globally for r&d tax expenditure and direct government funding of berd?
Greece ranks 9th and Lithuania ranks 12th of 38 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-financed BERD. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Greece vs Lithuania: R&D tax expenditure and direct government funding of BERD. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 17 September 2026, from https://economy.statizoid.com/compare/r-and-d-tax-expenditure-and-direct-government-funding-of-berd-government-financed-berd/greece/lithuania-2/

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About this data

Indicator
R&D tax expenditure and direct government funding of BERD — Government-financed BERD
Unit
Percentage of GDP
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
51 places, 1,190 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.