Iceland vs Japan: R&D tax expenditure and direct government funding of BERD

Iceland
1.04 Percentage of GDP
in 2024
Japan
1.37 Percentage of GDP
in 2024
Iceland rank
2nd
Japan rank
1st

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

  • Iceland
  • Japan
00.511.5200020122024

How they compare

Japan currently reports 1.37 Percentage of GDP against 1.04 Percentage of GDP in Iceland, a difference of 0.33 Percentage of GDP.

That makes Japan's figure about 1.3 times Iceland's.

The two have swapped places 1 time across 25 shared years of data; in 2000 it was Iceland ahead.

Iceland ranks 2nd and Japan ranks 1st of 33 countries.

Across the 3 decades both report, Iceland averaged higher in 2 and Japan in 1.

Head to head by decade

Decade Iceland Japan Difference Ahead
2000s 0.8912 Percentage of GDP 0.6697 Percentage of GDP 0.2215 Percentage of GDP Iceland
2010s 0.8267 Percentage of GDP 0.7591 Percentage of GDP 0.0675 Percentage of GDP Iceland
2020s 1.07 Percentage of GDP 1.55 Percentage of GDP 0.484 Percentage of GDP Japan

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, Iceland or Japan?
Japan, at 1.37 Percentage of GDP against 1.04 Percentage of GDP in Iceland as of 2024.
What is the difference in r&d tax expenditure and direct government funding of berd between Iceland and Japan?
0.33 Percentage of GDP, with Japan ahead.
How many years of comparable data are there for Iceland and Japan?
25 years are reported by both, from 2000 to 2024.
How do Iceland and Japan rank globally for r&d tax expenditure and direct government funding of berd?
Iceland ranks 2nd and Japan ranks 1st 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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Iceland vs Japan: 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/iceland/japan/

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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.