OG Einkommensstabilisierung

Presentation and simulation of revenues and costs depending on changes in prices and quantities

Topic area
Agriculture and forestry, incl. value chain
Innovation

Disaggregation level
Agriculture
Business management
Risk management
EIP European Innovation Partnership

Project region
Burgenland
Carinthia
Lower Austria
Upper Austria
Salzburg
Styria
Tyrol
Vorarlberg
Vienna

LE– Programming Period
LE 14–20

Project period
2019-2022 (geplantes Projektende)

Project costs overall
442.700

Priority
EN - 16.02.1. Unterstützung bei der Entwicklung neuer Erzeugnisse, Verfahren & Technologien der Land-, Ernährungs- & Forstwirtschaft

Project initiator
OG Einkommensstabilisierung

Short description

The incomes in the Austrian agricultural sector have been very volatile in the course of the past few years. Some types of farms are familiar with such situations, for others this is new and causes great insecurity. The insecurity about the costs of intermediate consumption and/or inputs and revenues from products sold to be expected contributes considerably to the income risk. Within the framework of this project a digital solution has been developed, which is free-of-charge for Austrian farms, and which aims at supporting the holdings in their decision-making processes.

Point of departure

Farm managers are increasingly confronted with volatile market situations. As a consequence, they are exposed to strong annual income fluctuations. Information on price, supply and demand developments as well as respective forecasts are difficult to access for the individual farm manager. There exist no consolidated sources of information for them. Moreover, it is a challenge for many farms to transfer such items of information to their own economic situation. For these reasons it is important to bundle the different sources of information and to transfer the effects of the developments to the individual farm.

Project implementation and measures

In this project different items of information and data are bundled and transferred back to the farm in a comprehensible way. The farms receive processed information, such as forecasts from the agricultural sector or on the supply and demand situation of certain agricultural products. Moreover, derivations for the individual farms are rendered possible. The focus is on the improvement of the planning and the management of the farms.

1. Presentation of research results and forecasts
2. Presentation of the current supply, demand and price situations
3. Programming of a software for the simulation of quantitative effects at farm level