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Rationalizing apple growers’ decision making in Germany – a utility based whole farm programming approach
Commercial apple production is exposed to various sources of risks. This paper presents a normative utilityefficient programming (UEP) approach, calculating optimal farm plans for apple growers in two different regions of Germany. It takes weather-related quality and yield risks, as well as price ri...
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Published in: | The international food and agribusiness management review 2018-09, Vol.21 (8), p.1099-1120 |
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container_title | The international food and agribusiness management review |
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creator | Rohrig, Maren B.K Hardeweg, Bernd Lentz, Wolfgang |
description | Commercial apple production is exposed to various sources of risks. This paper presents a normative utilityefficient programming (UEP) approach, calculating optimal farm plans for apple growers in two different regions of Germany. It takes weather-related quality and yield risks, as well as price risks into account. It is based on risk attitude and risk perception collected from a sample of 134 apple growers. After combining subjective estimates of the apple growers with relevant historical data, input data for the UEP-model were derived from Monte-Carlo simulations. The UEP-model determines optimal portfolios, consisting of combinations of apple varieties and risk management instruments. The results indicate that the degrees of risk aversion affect optimum farming strategies only to a minor extent. They also provide evidence that farmers would benefit from a combined frost-hail insurance, whereas the absence of frost irrigation systems may cause high yield-losses in the northern part of Germany. |
doi_str_mv | 10.22004/ag.econ.284917 |
format | article |
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This paper presents a normative utilityefficient programming (UEP) approach, calculating optimal farm plans for apple growers in two different regions of Germany. It takes weather-related quality and yield risks, as well as price risks into account. It is based on risk attitude and risk perception collected from a sample of 134 apple growers. After combining subjective estimates of the apple growers with relevant historical data, input data for the UEP-model were derived from Monte-Carlo simulations. The UEP-model determines optimal portfolios, consisting of combinations of apple varieties and risk management instruments. The results indicate that the degrees of risk aversion affect optimum farming strategies only to a minor extent. 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This paper presents a normative utilityefficient programming (UEP) approach, calculating optimal farm plans for apple growers in two different regions of Germany. It takes weather-related quality and yield risks, as well as price risks into account. It is based on risk attitude and risk perception collected from a sample of 134 apple growers. After combining subjective estimates of the apple growers with relevant historical data, input data for the UEP-model were derived from Monte-Carlo simulations. The UEP-model determines optimal portfolios, consisting of combinations of apple varieties and risk management instruments. The results indicate that the degrees of risk aversion affect optimum farming strategies only to a minor extent. They also provide evidence that farmers would benefit from a combined frost-hail insurance, whereas the absence of frost irrigation systems may cause high yield-losses in the northern part of Germany.</abstract><doi>10.22004/ag.econ.284917</doi><edition>1030</edition><oa>free_for_read</oa></addata></record> |
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subjects | certainty equivalent crop insurance Crop Production/Industries risk aversion risk management utility-efficient programming |
title | Rationalizing apple growers’ decision making in Germany – a utility based whole farm programming approach |
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