BAB 059/22: Regional agricultural value chains

Initial situation

With the spread of the Covid-19 pandemic in March 2020, weaknesses in the Austrian and global economic systems became apparent. The COVID-19 Lessons learnt research project was therefore initiated to generate evidence to ensure that the agricultural and forestry sectors could cope with the Covid 19 pandemic. The COVID-19 Lessons learnt research project consisted of 16 sub-projects, 14 of which have already been completed. The sub-project on regional agricultural value chains is now being continued as an independent research project at the BAB.
At the BAB, the volume flows of important cash crops were recorded in detail and presented in a clear overview in 2018. These are cereals (including maize). There are currently no comparable representations for the most important commercial crops and animal products.
An important step in order to adequately describe the supply situation is to record the most important other agricultural goods. The aim here is to show the main processing steps in terms of their quantity. It is not possible to depict all products in detail in this scheme. The selection of agricultural activities is made with regard to their importance for human nutrition.
Fodder for farm animals is the most important and, in terms of value, the most significant input for agriculture in Austria. Many agricultural goods are also partly provided as feed either directly on the farm or via trade flows between farms or via an additional processing stage in the feed industry. The feed balance sheet provides information on the most important quantities, but not on the links in the value chain that provide them. In the BAB research project on feed balance, this knowledge gap is to be closed.
In the course of the present work package, not only the quantity flow is to be presented, but the value chain is also to be considered from a monetary perspective. For this purpose, previously unused statistics such as the supply and use tables or the reconciled labour force statistics and workplace census will be used. In this supplementary module, the quantitative representation is supplemented - as far as possible - by the value-based representation.


- Updating of already existing quantity flows of agricultural goods in Austria.
- Addition of further quantity flows of plant and animal products according to their importance for human nutrition.
- Supplementing the quantitative data with a value-based presentation, if possible along the same lines as in the quantitative presentation.
- Completion of an analysis data set for the entire federal territory.
- Development of a concept for the regionalised recording of the quantity and value flows of agricultural products in Austria.

Work steps

1. Elaboration of the research concept and selection of methods
In this step, the concepts of quantity flows of agricultural goods and those of the value chain are compared and similarities and differences are sought. In a subsequent step, methods are developed to achieve the best possible coverage of the quantity flow and the value chain.
2. Supplementing the existing quantity flow calculations with further agricultural goods
Currently, quantity flows are not available for all agricultural goods, and those that are available need to be updated. In accordance with a priority order defined in work step 1, quantity flows are determined for further agricultural goods. In the course of the presentation, references are made to parallel analyses of feed balances and the value chain of agricultural products.
3. Completion of a data set in which quantity flows - including fodder crops - are integrated together with information on the value chain.
In this work step, the partially parallel work on quantity flows of agricultural commodities, the use of fodder and the analysis of the value chain are integrated. The result is a picture of the value chain of agricultural goods / food in Austria, differentiated by quantities and values. It includes the most important agricultural goods for food, but not all. 4.
4. Creation of a prototype for regional analysis
Since previous work has only included analyses of selected agricultural goods (cereals) and animal feed at the federal level, the extension in the direction of regional analysis is an important step. To this end, the available data sources will be examined and evaluated accordingly in order to prepare regional analyses. This will be done in this work step on the basis of a prototype in which the work steps are outlined.
5. documenting the work and drawing conclusions and recommendations for policy-makers
In this step, the outputs are produced. These are methods, routines recorded in computer code and standardised data products that can be updated with little effort. Conclusions and recommendations complement these outputs.

Planned outputs

- A further development of the quantity flows of agricultural products.
- Integration of feed balances and economic indicators on the value chain of agricultural goods and food.
- Provision of the results as a data set.
- An executive summary (document) and a set of slides with the central results and recommendations for action - target group: clients and persons involved in the process.

Work carried out 2021

- No project-specific work, as the data required for regional feed balancing was not transferred to the AOD by Agrar Markt Austria due to data protection concerns.
- Preparatory work for the legal basis for the transmission of data to the BAB (e.g. Agricultural Market Transparency Ordinance and Market Order Act).

Planned work 2022

Provided that the necessary data are made available, implementation of the project objectives and project completion.


Project start: March 2020
Project end: End 2022

Project Leader

RESL, Thomas

DI M.Sc. Thomas RESL





Agricultural Economics and Data Management

DI Dipl.-Päd. Ing. Josef HAMBRUSCH

Agricultural Economics and Data Management


Agricultural, Environmental and Food Systems
MARIA, Richard

B.Sc. Richard MARIA

Agricultural Economics and Data Management
STELZER, Christoph

DI B.Sc. Christoph STELZER

Agricultural Economics and Data Management
WEIGL, Martin


Agricultural Economics and Data Management
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