Feed-in tariffs (FITs) are prevalent support policies for scaling up renewable electricity capacity. They are market-based economic instruments, which typically offer long-term contracts that guarantee a price to be paid to a producer of a pre-determined source of electricity per kWh fed into the electricity grid.
This dataset provides FITs values derived in a manner that is comparable across countries, years and renewable energy sub-sectors. The data include country-level values on the tariff (in USD/kWh), and length of the awarded power-purchasing agreement. The dataset covers seven renewable electricity sub-sectors: wind, solar photovoltaic (concentrated solar power is excluded), geothermal, small hydro, geothermal, marine, biomass and waste.
This dataset is fully maintained by the OECD secretariat, drawing on government sources (e.g. websites, official documents) and information from research institutes. In addition, the data are cross-checked against other renewable energy policy databases (e.g. REN21, IEA/IRENA, OECD PINE database).
For further details on the methodology and examples of applications of this dataset, please consult the documentation.
Last updated: 01 April 2020
Feed-in tariffs (FITs) are prevalent support policies for scaling up renewable electricity capacity. They are market-based economic instruments, which typically offer long-term contracts that guarantee a price to be paid to a producer of a pre-determined source of electricity per kWh fed into the electricity grid.
This dataset provides FITs values derived in a manner that is comparable across countries, years and renewable energy sub-sectors. The data include country-level values on the tariff (in USD/kWh), and length of the awarded power-purchasing agreement. The dataset covers seven renewable electricity sub-sectors: wind, solar photovoltaic (concentrated solar power is excluded), geothermal, small hydro, geothermal, marine, biomass and waste.
This dataset is fully maintained by the OECD secretariat, drawing on government sources (e.g. websites, official documents) and information from research institutes. In addition, the data are cross-checked against other renewable energy policy databases (e.g. REN21, IEA/IRENA, OECD PINE database).
For further details on the methodology and examples of applications of this dataset, please consult the documentation.
Last updated: 01 April 2020