France vs Lithuania: Implied tax subsidy rates on R&D expenditures

France
0.29 Index
in 2025
Lithuania
0.27 Index
in 2025
France rank
3rd
Lithuania rank
2nd

Implied tax subsidy rates on R&D expenditures over time

  • France
  • Lithuania
00.10.20.30.4200020122025

How they compare

France currently reports 0.29 Index against 0.27 Index in Lithuania, a difference of 0.02 Index.

That makes France's figure about 1.1 times Lithuania's.

The two have swapped places 2 times across 26 shared years of data; in 2000 it was France ahead.

France ranks 3rd and Lithuania ranks 2nd of 44 countries.

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

Head to head by decade

Decade France Lithuania Difference Ahead
2000s 0.157 Index 0.059 Index 0.098 Index France
2010s 0.338 Index 0.25 Index 0.088 Index France
2020s 0.295 Index 0.2533 Index 0.0417 Index France

Averages of every year both report within each decade.

Frequently asked questions

Which has higher implied tax subsidy rates on r&d expenditures, France or Lithuania?
France, at 0.29 Index against 0.27 Index in Lithuania as of 2025.
What is the difference in implied tax subsidy rates on r&d expenditures between France and Lithuania?
0.02 Index, with France ahead.
How many years of comparable data are there for France and Lithuania?
26 years are reported by both, from 2000 to 2025.
How do France and Lithuania rank globally for implied tax subsidy rates on r&d expenditures?
France ranks 3rd and Lithuania ranks 2nd of 44 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Implied tax subsidy rates on R&D expenditures. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

France vs Lithuania: Implied tax subsidy rates on R&D expenditures. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 02 September 2026, from https://economy.statizoid.com/compare/implied-tax-subsidy-rates-on-r-and-d-expenditures/france/lithuania-2/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under OECD Terms and Conditions (attribution required); please keep the attribution.

<a href="https://economy.statizoid.com/compare/implied-tax-subsidy-rates-on-r-and-d-expenditures/france/lithuania-2/">France vs Lithuania: Implied tax subsidy rates on R&D expenditures</a> — Statizoid

About this data

Indicator
Implied tax subsidy rates on R&D expenditures
Unit
Index
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
58 places, 1,462 data points, 2000–2025
Last refreshed

The OECD R&D Tax Incentives database presents OECD time-series indicators of implied tax subsidy rates on R&D expenditures by firm size and profitability scenario for OECD member countries and other major economies, drawing on data collected in the OECD R&D tax incentives surveys since 2007. Implied R&D tax subsidy rates are defined as 1 minus the B-Index, a measure of the before-tax income needed by a “representative” firm to break even on one additional monetary unit of R&D outlay (Warda, 2001; OECD, 2023). The more generous the tax provisions for R&D, the lower the before-tax breakeven economic return required by firms and the higher the implied marginal R&D tax subsidy. The OECD time-series estimates of implied R&D tax subsidy rates is based on headline tax credit and allowance rates. Due to limited historical data availability, the estimates are not adjusted for provisions that bound the tax benefits received by firms (e.g. ceilings, thresholds). They therefore provide an upper bound for the marginal tax subsidy implied by R&D tax relief measures at central government level across countries over time. 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.