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FABIO

Forestry and Agriculture Biomass Input-Output Tables.
https://github.com/fineprint-global/fabio

Category: Industrial Ecology
Sub Category: Input Output Model

Keywords

agriculture faostat food mrio-tables piot

Keywords from Contributors

input-output-analysis

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Food and Agriculture Biomass Input-Output Tables

README.md

FABIO v2: Food and Agriculture Biomass Input-Output Database

FABIO provides a comprehensive set of multi-regional physical supply-use (PSUT) and input-output tables (IOT) covering global food and agriculture flows. It integrates data from FAOSTAT, IEA, EIA, and UN Comtrade/BACI to map the global flow of agricultural biomass from extraction to final consumption.

This repository contains the R code used to generate the database.

🚀 Key Features of FABIO v2

  • Broad Coverage: 181 regions (180 countries + 1 Rest of World).
  • High Resolution: 119 processes and 123 commodities.
  • Temporal Scope: Data coverage for the years 2010–2023.
  • Allocation Methods: Includes both mass and value-based allocation versions for symmetric tables.
  • Units: All values are in physical units (tonnes or heads) as specified in items.csv.
  • Sustainability Metrics: including land use, water use, nutrient cycles (N/P), GHG emissions, and biodiversity indicators (MSA loss, PDF).

📂 Database Structure

The database is provided in compressed .rds format, optimized for R. Most variables are organized as lists by year containing sparse matrices (using the Matrix package).

Component Description
Z Inter-commodity IO matrix (intermediate use). 22,263 x 22,263. Available as Z_mass and Z_value.
Y Final demand matrix. Includes categories: Food, Other (non-food), Stock additions, and Tourist consumption.
X Total output vector. The sum of intermediate and final use for all commodities.
L Leontief inverse $(I - A)^{-1}$. Provided for both mass and value allocation versions.
E Environmental extensions. 123 stressors x 22,263 products.

🛠 Installation & Usage

All processing is performed in R. To read the database files, ensure you have the Matrix package installed.

# Example: Reading a FABIO rds file
data <- readRDS("Z_mass_2020.rds")

Auxiliary Metadata (CSV)

For indexing and classification, refer to the following auxiliary files:

  • regions.csv: Country samples, ISO3 codes, and regional groupings.
  • items.csv: Commodity definitions, units, and product groupings.
  • io_labels.csv / su_labels.csv: Row and column labels for IO and Supply-Use tables.
  • fd_labels.csv: Column descriptions for the Final Demand (Y) matrix.

📜 License & Citation

License

This repository is distributed under the CC BY-NC-SA 4.0 License.

  • Non-commercial use only.
  • Attribution required.
  • Share-alike (derivative works must use the same license).

Citation

If you use FABIO in your research, please cite the following paper:

Bruckner, M., Wood, R., Moran, D., Kuschnig, N., Wieland, H., Maus, V., Börner, J. 2019. FABIO – The Construction of the Food and Agriculture Input–Output Model. Environmental Science & Technology 53(19), 11302–11312. https://doi.org/10.1021/acs.est.9b03554

📬 Access & Collaboration

For database access, collaboration inquiries, or technical support, please contact Martin Bruckner at martin.bruckner@wu.ac.at.

GitHub Repository: fineprint-global/fabio

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