Various Safe and Just indicators or not related to a specific thematic area or indicator
Farm diversification indicator
Description
We develop a novel diversification concept based on the distribution of three key farm resources — land, labour, and capital — across agricultural and non-agricultural activities. Diversification is measured through Shannon-Weaver indices, capturing both the variety and evenness of resource allocation at farm level.
Rationale: This indicator can be used in ex-post and ex-ante policy assessments, enabling understanding of changes in resource patterns that have not yet been determined.
Main data sources to produce the data
Farm Accountancy Data Network (FADN).
Articles
Discussion Paper Adenäuer, L., Kuhn, T., & Storm, H. (2026). Farm Diversification and its Role in achieving Safe and Just Outcomes: Insights from German FADN Data - Discussion paper (Version v01). BrightSpace Horizon Europe project Grant Agreement No. 101060075. https://doi.org/10.5281/zenodo.19724673
Temporal and spatial coverage
Spatial coverage: Germany.
Temporal coverage: 2014-2021.
Resolution
Farm-level data.
Specificity
Model input item
Data
Type: secondary
Confidential
Contact
Contact address: hugo.storm@ilr.uni-bonn.de
Field structural change
Description
The structure of agricultural fields changes over time based on institutional and farm economics rationales. These field changes can impact environmental and social outcomes such as biodiversity, farm output, and income. We estimate changes in the size, shape and number of agricultural fields within defined 10km grid cells and individual districts over time. We also estimate district changes in the number of farms and average farm size.
Rationale: This indicator can be used in ex-post policy assessments of farm and field size changes.
Main data sources to produce the data
Among others
- Integrated Administration and Control System (IACS)
- Agrarstrukturerhebung from the Lower Saxony statistical office
Article
Working paper: Aladesuru, D. T., Kuhn, T., Baumert, J., Wieck, C., & Storm, H. (2026). Spatio-Temporal Patterns of Field Structural Change and Related Farm Developments (Version v01). BrightSpace Horizon Europe project GA Nr. 101060075. https://doi.org/10.5281/zenodo.19330011.
Journal publication undergoing revision.
Temporal and spatial coverage
Field data:
Spatial coverage: Lower Saxony, Germany.
Temporal coverage: 2012 to 2024.
Farm data:
Spatial coverage: Lower Saxony, Germany.
Temporal coverage: 2010, 2016 and 2020.
Resolution
Field-level parcel data, which we aggregate with 10km cells and district administrative units.
Specificity
Model input item
Data
Type: secondary
The methodology for obtaining the change data is available at https://github.com/DamiAladesuru/field-structural-change_LS
Contact
Contact address: damilola.aladesuru@ilr.uni-bonn.de
Productivity and output growth (JOS) and fertilizer and pesticides use (SOS)
Approach: Total Factor Productivity - A Flexible Production Function with Endogenous Inputs
Description
Total factor productivity (TFP) is a crucial indicator for investigating the economic consequences of sustainable practices. We analyse output and total factor productivity growth using Farm Accountancy Data Network (FADN) data on Czech cereal farms from 2008 to 2020. Treating pesticides and fertilisers as endogenous inputs, we propose an approach that employs a flexible translog production function in combination with a proxy-variable method. This approach generates robust results that strengthen the evidence base essential for data-driven agricultural policy formulation.
Main data sources to produce the data
Among others
- Farm Accountancy Data Network and Eurostat
Article
Čechura, L., Kumbhakar, S., & Žáková Kroupová, Z. (2025). The role of pesticides and fertilizers in Czech cereal output and TFP growth: A flexible production function with endogenous inputs. Food Policy, 136, 102955, https://doi.org/10.1016/j.foodpol.2025.102955
Temporal and spatial coverage
Spatial coverage: Czech Republic.
Temporal coverage: 2008-2020.
Resolution
Farm level data.
Data
The data are available from the Farm Accountancy Data Network – Czech Republic. However, access to these data is restricted as they were used under license. Data can be obtained from the authors with permission from the Institute of Agricultural Economics and Information.