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  • BAB 004/87: Typology of Farms for the presentation of the economic performance of agriculture

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  • BAB 004/87: Typology of Farms for the presentation of the economic performance of agriculture

BAB 004/87: Typology of Farms for the presentation of the economic performance of agriculture

Objective

The classification of agricultural and forestry holdings has the task of grouping holdings into groups that are as homogeneous as possible with regard to certain criteria. Only the greatest possible homogeneity of the farms in a group guarantees that representative statements can be made on the basis of average figures in the presentation of the economic situation of agriculture. Since the 2010 agricultural structure survey, the production direction and the economic size of a farm have been determined according to the composition of the standard outputs or the level of the total standard output of an agricultural and forestry enterprise at NUTS 2 level.

Status of the project

After the classification of agricultural and forestry holdings in the INVEK-OS database was also implemented for special types of holdings in 2020, it has since been possible to carry out evaluations from it for the purposes of various agricultural policy issues, among others.
An international working group under the leadership of DG AGRICULTURE AND RURAL DEVELOPMENT has been working on the further development of the methodology of classification based on standard output since autumn 2020. The Federal Institute for Agricultural Economics and Mining is also involved.

Work 2023

In 2023 there will be a new sample survey on agricultural structure (Agricultural Structure Survey 2023).
By the end of 2023, the standard output coefficients 2020 (mean value 2018 to 2022) are to be calculated and transmitted to Eurostat.
The international working group for the further development of the methodology for the classification of agricultural holdings based on standard output will continue to be involved, if necessary.

 

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Speck

Speck

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Project Leader

GAHLEITNER, Gerhard

DI Gerhard GAHLEITNER

Agricultural Economics and Data Management

Team

MARIA, Richard

B.Sc. Richard MARIA

Agricultural Economics and Data Management
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