Income Stabilisation in European Agriculture: Design and by Miranda P. m. Meuwissen, Marcel A. P. M. Van Asseldonk, Ruud

By Miranda P. m. Meuwissen, Marcel A. P. M. Van Asseldonk, Ruud B. M. Huirne

Foreign alternate agreements and reforms of the eu universal Agricultural coverage elevate the significance of agricultural danger administration as a method to stabilise farm earning. "Income Stabilisation in eu Agriculture" addresses farm source of revenue and hazard administration matters from numerous views. during this name, a cohesive paintings is introduced jointly on old source of revenue information, quantitative analyses of destiny coverage situations, genuine farmers' perceptions and an up-to-date view on a number of chance administration tools. In-depth analyses concentrate on Germany, Hungary, the Netherlands, Poland and Spain.Overall findings are synthesised in coverage thoughts for agricultural chance administration in eu agriculture. For academia, this e-book brings jointly an engaging number of quantitative and qualitative easy methods to comprehend and interpret chance administration options in agriculture. For private and non-private stakeholders analyses and reflections can be utilized in debating the area of coverage reforms, danger publicity and hazard administration in eu agriculture

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Additional resources for Income Stabilisation in European Agriculture: Design and Economic Impact of Risk Management Tools

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000 euro. Similar ranges can be observed for other types of farming in Germany. Dutch farmers in the selected farm types are confronted with the highest yearly changes in farm income. Figure 4 also shows that the largest variety in farm incomes can be found in horticulture and intensive livestock farms. These are the sectors that mainly produce outputs that are not regulated by the CAP. The volatility of the prices is reflected in the volatility of the incomes. 2 and subsequent tables and figures.

Whether diversified farms have a lower volatility in comparison to specialised farms strongly depends on the types of activities on those farms. 3 also shows large differences in the volatility in the field crops sector. The Netherlands has the highest volatility followed by Sweden and Luxemburg. 6. Besides climatic conditions the differences are explained by the differences in cropping patterns. For example in the Netherlands potatoes and onions are important products. These products (except for starch potatoes) are hardly regulated by the CAP.

2 presents a EU wide analysis of the differences in volatility for the different types of farming. Volatility is measured as the coefficient of variation of farm income. The coefficient of variation is clearly higher in the intensive livestock sector. In the dairy and grazing livestock sector the incomes are the most stable. Aggregating data over the whole of Europe of course hides large differences between regions. 5 presents the coefficient of variation for the different regions in Europe. The values reflect a combination of factors, such as: the climatic conditions, occurrence of diseases, the type of farming prevalent in the region, crops and animal products produced.

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