Peru vs Thailand: R&D tax expenditure and direct government funding of BERD — Indirect

Peru
0.0006 Percentage of GDP
in 2024
Thailand
0.0008 Percentage of GDP
in 2024
Peru rank
33rd
Thailand rank
31st

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

  • Peru
  • Thailand
00.0010.0020.0030.004200220132024

How they compare

Thailand currently reports 0.0008 Percentage of GDP against 0.0006 Percentage of GDP in Peru, a difference of 0.0002 Percentage of GDP.

That makes Thailand's figure about 1.3 times Peru's.

Across all 9 years both countries report, Thailand has been ahead every year.

Peru ranks 33rd and Thailand ranks 31st of 43 countries.

Thailand has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Peru Thailand Difference Ahead
2010s 0.0004 Percentage of GDP 0.0033 Percentage of GDP 0.0029 Percentage of GDP Thailand
2020s 0.0003 Percentage of GDP 0.0012 Percentage of GDP 0.0009 Percentage of GDP Thailand

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 — indirect, Peru or Thailand?
Thailand, at 0.0008 Percentage of GDP against 0.0006 Percentage of GDP in Peru as of 2024.
What is the difference in r&d tax expenditure and direct government funding of berd — indirect between Peru and Thailand?
0.0002 Percentage of GDP, with Thailand ahead.
How many years of comparable data are there for Peru and Thailand?
9 years are reported by both, from 2016 to 2024.
How do Peru and Thailand rank globally for r&d tax expenditure and direct government funding of berd — indirect?
Peru ranks 33rd and Thailand ranks 31st of 43 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 — Indirect government support through R&D tax incentives (GTARD). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Peru vs Thailand: R&D tax expenditure and direct government funding of BERD — Indirect. 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-indirect-government-support/peru/thailand/

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About this data

Indicator
R&D tax expenditure and direct government funding of BERD — Indirect government support through R&D tax incentives (GTARD)
Unit
Percentage of GDP
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
57 places, 1,280 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.