Chile vs Romania: R&D tax expenditure and direct government funding of BERD

Chile
0.0141 Percentage of GDP
in 2022
Romania
0.0111 Percentage of GDP
in 2024
Chile rank
30th
Romania rank
32nd

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

  • Chile
  • Romania
00.0250.050.0750.1200020122024

How they compare

Chile currently reports 0.0141 Percentage of GDP against 0.0111 Percentage of GDP in Romania, a difference of 0.003 Percentage of GDP.

That makes Chile's figure about 1.3 times Romania's.

The two have swapped places 2 times across 16 shared years of data; in 2007 it was Romania ahead.

Chile ranks 30th and Romania ranks 32nd of 38 countries.

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

Head to head by decade

Decade Chile Romania Difference Ahead
2000s 0.0082 Percentage of GDP 0.0641 Percentage of GDP 0.0559 Percentage of GDP Romania
2010s 0.0139 Percentage of GDP 0.0276 Percentage of GDP 0.0137 Percentage of GDP Romania
2020s 0.011 Percentage of GDP 0.0168 Percentage of GDP 0.0058 Percentage of GDP Romania

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, Chile or Romania?
Chile, at 0.0141 Percentage of GDP against 0.0111 Percentage of GDP in Romania as of 2022.
What is the difference in r&d tax expenditure and direct government funding of berd between Chile and Romania?
0.003 Percentage of GDP, with Chile ahead.
How many years of comparable data are there for Chile and Romania?
16 years are reported by both, from 2007 to 2022.
How do Chile and Romania rank globally for r&d tax expenditure and direct government funding of berd?
Chile ranks 30th and Romania ranks 32nd 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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Chile vs Romania: 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/chile/romania/

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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.