Farm Accountancy Data Network (FADN) comes without the exact location. It is generally aggregated at NUTS-2 and without agro-climatic information. However, the assessment of weather-related farm production effects requires agro-climatic and spatial farm information. When analyzing effects of weather on agricultural outcomes with incorrect weather variables, we potentially introduce measurement errors in weather regressors (Li and Ortiz-Bobea, 2022). Existing downscaling approaches not available at temporal and spatial requirements for 15-year time-series and EU-wide analysis (Kempen et al., 2011). Therefore, we develop an open-access framework to downscale FADN farm-level data from NUTS-2 to NUTS-3 utilizing a Bayesian Highest Posterior Density Concept.
The 63rd Annual Conference of the Society for Economic and Social Sciences of Agriculture (GEWISOLA) will take place from Wednesday, 20 September to Friday, 22 September 2023 at the Georg August University in Göttingen. The conference theme is Sustainable food systems and land use change