Data on policy support for renewable electricity

Climate Policy Atlas: Renewable electricity generation support policy data

This dataset contains detailed, machine-readable data on support policies for renewable energy from the years 2000-2024 for all EU countries and the UK. It inclues the following support policy instruments:

• Feed-in Tariffs (FITs)
• Feed-in Premiums (FIPs)
• Auctions for renewable energy capacity
• Loan guarantees
• Soft loans
• Subsidies
• Tax incentives (tax rebates, tax reductions)
• Tradeable Green Certificates (TGCs)
• Emissions trading (cap-and-trade)
• Carbon taxes

These datasets contain detailed, machine-readable data on support policies for renewable energy from the years 2000-2024 for all EU countries and the UK. The work was performed by Silvia Wekoⁱ, Franziska Boldⁱ, Aksornchan Chaianongⁱ, Dogukan Günkördüⁱ, Daria Lebedevaⁱ, Puru Malhotraⁱ*, Ioannis Milioritsasⁱ, Johannes Weißⁱ, and Johan Lilliestamⁱ, during 2024-2026.

The data is published with CC BY-SA 4.0. The dataset should be cited as:

Weko, S., Bold, F., Chaianong, A., Günkördü, D., Lebedeva, D.,  Malhotra, P., Milioritsas, I., Weiß, J., and Lilliestam, J. (2026): Data on policy support for renewable electricity (Version 1, January 2026). Friedrich-Alexander-Universität Erlangen-Nürnberg. DOI: 10.5281/zenodo.18327812

Please note that the carbon tax and emissions trading data are via the World Bank Carbon Pricing Dashboard, and must be cited as such for subsequent analyses.

The data is to the best of our knowledge correct, but we do not assume any responsibility for any remaining data errors or publication mistakes. Should you find errors or have data to fill gaps, please contact climatepolicyatlas@nfdi4energy.org, referencing the serial number provided in the column “serial_number”.

The authors would like to thank the German Federal Government, the German State Governments, and the Joint Science Conference (GWK) for their funding and support as part of the NFDI4Energy consortium. The work was funded by the German Research Foundation (DFG) – 501865131 within the German National Research Data Infrastructure (NFDI, www.nfdi.de). Silvia Weko would also like to thank the Office for Equal Opportunities for Women in Science and the Arts at the School of Business, Economics, and Law at FAU Erlangen-Nürnberg. 

Note: the previous version of the dataset with only 4 EU countries is V0, and is no longer up to date.