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

Greece
0.5515 Percentage of GDP
in 2024
Italy
0.6145 Percentage of GDP
in 2024
Greece rank
16th
Italy rank
13th

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

  • Greece
  • Italy
0.20.40.60.8200020122024

How they compare

Italy currently reports 0.6145 Percentage of GDP against 0.5515 Percentage of GDP in Greece, a difference of 0.063 Percentage of GDP.

That makes Italy's figure about 1.1 times Greece's.

The two have swapped places 4 times across 22 shared years of data; in 2000 it was Italy ahead.

Greece ranks 16th and Italy ranks 13th of 33 countries.

Across the 3 decades both report, Greece averaged higher in 1 and Italy in 2.

Head to head by decade

Decade Greece Italy Difference Ahead
2000s 0.3311 Percentage of GDP 0.6168 Percentage of GDP 0.2857 Percentage of GDP Italy
2010s 0.4827 Percentage of GDP 0.5292 Percentage of GDP 0.0466 Percentage of GDP Italy
2020s 0.7155 Percentage of GDP 0.6358 Percentage of GDP 0.0797 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 Italy?
Italy, at 0.6145 Percentage of GDP against 0.5515 Percentage of GDP in Greece as of 2024.
What is the difference in r&d tax expenditure and direct government funding of berd between Greece and Italy?
0.063 Percentage of GDP, with Italy ahead.
How many years of comparable data are there for Greece and Italy?
22 years are reported by both, from 2000 to 2024.
How do Greece and Italy rank globally for r&d tax expenditure and direct government funding of berd?
Greece ranks 16th and Italy ranks 13th 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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Greece vs Italy: 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/greece/italy/

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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.