China vs Japan: R&D tax expenditure and direct government funding of BERD — Sum of

China
0.2891 Percentage of GDP
in 2022
Japan
0.2269 Percentage of GDP
in 2024
China rank
8th
Japan rank
10th

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

  • China
  • Japan
0.050.10.150.20.250.3200020122024

How they compare

China currently reports 0.2891 Percentage of GDP against 0.2269 Percentage of GDP in Japan, a difference of 0.0622 Percentage of GDP.

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

The two have swapped places 4 times across 14 shared years of data; in 2009 it was China ahead.

China ranks 8th and Japan ranks 10th of 37 countries.

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

Head to head by decade

Decade China Japan Difference Ahead
2000s 0.1041 Percentage of GDP 0.0803 Percentage of GDP 0.0238 Percentage of GDP China
2010s 0.13 Percentage of GDP 0.1275 Percentage of GDP 0.0026 Percentage of GDP China
2020s 0.2456 Percentage of GDP 0.1438 Percentage of GDP 0.1017 Percentage of GDP China

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 — sum of, China or Japan?
China, at 0.2891 Percentage of GDP against 0.2269 Percentage of GDP in Japan as of 2022.
What is the difference in r&d tax expenditure and direct government funding of berd — sum of between China and Japan?
0.0622 Percentage of GDP, with China ahead.
How many years of comparable data are there for China and Japan?
14 years are reported by both, from 2009 to 2022.
How do China and Japan rank globally for r&d tax expenditure and direct government funding of berd — sum of?
China ranks 8th and Japan ranks 10th of 37 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 — Sum of tax incentive support for business R&D (GTARD) and government-financed BERD. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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China vs Japan: R&D tax expenditure and direct government funding of BERD — Sum of. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 19 September 2026, from https://economy.statizoid.com/compare/r-and-d-tax-expenditure-and-direct-government-funding-of-berd-sum-of-tax-incentive/china/japan/

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About this data

Indicator
R&D tax expenditure and direct government funding of BERD — Sum of tax incentive support for business R&D (GTARD) and government-financed BERD
Unit
Percentage of GDP
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
50 places, 1,059 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.