Food and Agriculture Biomass Input-Output Model (FABIO)

FABIO provides a set of multi-regional physical supply-use and input-output tables covering global agriculture and forestry.
The work is based on mostly freely available data from FAOSTAT, IEA, EIA, and UN Comtrade/BACI. FABIO currently covers 191 countries plus the Rest-of-World, 121 processes and 130 commodities for 1986-2013.

Commodity coverage

  • 127 agricultural commodities
    • 64 crops
    • 32 processed products
      • vegetable oils and cakes
      • sugars and beverages
    • 14 animal groups
    • 17 livestock products
      • meat, milk, hides, fats, etc.
  • 3 forestry commodities

Data sources

    • Commodity balances
    • Bilateral trade data
  • Biofuels production: IEA/EIA
  • Biofuels trade: UN Comtrade / BACI
  • Feed use: IMAGE model (Bouwman et al. 2013)
Example result: Cropland footprint of China, EU-28 and USA

The figure reveals characteristic patterns and distinct trends for the cropland footprint of China, the EU-28 and the USA. While animal source foods take the highest but declining shares in the EU and the US cropland footprint, their place is still only second after plant-based food in China, albeit showing a rapid increase throughout the time series.

Other uses, i.e. mainly industrial non-food uses, are particularly increasing in China and the US. In the EU, we see a shift from animal-based to plant-based non-food products.

All data sets and R scripts are available to the research community under the GNU General Public License (GPL-v3). We hope that openness, transparency and sharing of code contributes to further advancements and invite researchers to test and scrutinize our codes and results.

  • Bruckner, M., Giljum, S., 2018. FABIO: Food and Agriculture Biomass Input-Output model. FINEPRINT Brief No. 3. Vienna University of Economics and Business, Austria.
  • 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 (in press). DOI: 10.1021/acs.est.9b03554