Assessment of differentiated farm performances of arable farms in Flevoland and the Netherlands

Submitted by charlotte.schilt on Tue, 09/25/2018 - 10:19

Farms in Flevoland have changed substantially during the last decades mostly due to socio-economic and political changes and technological progress. Those changes had an impact not only on the number of farms, but also motivated the creation of new farm types through structural changes. Based on a farm typology used in this study, farm types in Flevoland have been distinguished based on orientation, size, intensity and specialization.

The objective of this thesis is to assess the differentiated economic and agricultural performance of arable farm types based on orientation, economic size, intensity and specialization in Flevoland and the Netherlands. The aim is to show possible differences in farm performance and other management characteristics between the different farm types. This information is to be used in a larger project on assessment of farm specific climate change adaptation measures for arable farm types in Flevoland, as it is assumed that different farm types may require and/or prefer different adaptation measures.

Data used for the analysis are from the Dutch FADN for the year 2008, collected by the Agricultural Economic Research Institute (LEI). The sample of farms consists of 163 arable farms for the Netherlands and 25 farms for Flevoland. In order to group the farms into farm types, typology thresholds were used (taken from the Geographical Information Systems for Agricultural Business (GIAB 2008). Agricultural farm performance was indicated by wheat and consumption potato yields per ha, while for economic farm performance total output per ha, farm family income and farm net result were used as indicators. At the same time, a number of farm management variables were used (i.e. fertilizers per ha, crop protection per ha, total costs per ha, total subsidies per ha, and the areas of wheat, consumption potato and root/tuber crops) as extra farm management characteristics. The statistical analysis methods used in the research are ANOVA, non parametric Tests (Kruskal-Wallis and Mann-Whitney), correlation and multiple regression analyses.

The analysis was performed for both Flevoland and the Netherlands since the sample of Flevoland was very small and it was found interesting to see if results for farms in Flevoland follow the trends of the whole of the Netherlands. The outcomes of the research demonstrate that in the Netherlands significant differences in farm performance variables are observed mostly between the different farm types based on economic size. Farm performance variables do not significantly differ between different farm types based on intensity, orientation and specialization. Significant differences in management variables, however, mostly refer to different intensity levels and specializations. For Flevoland it is concluded that generally farm performance follows the trends of the whole of the Netherlands, but due to the small sample of farms, not many significant differences between different farm types were observed. Farm performance variables are significantly different mostly between different intensity levels while management variables are significantly different between different intensity levels and economic size of farms.

The results proving significant statistical differences in farm performance of different farm types in the Netherlands can be used in the project on the assessment of farm type specific adaptation strategies to climate change for arable farms in Flevoland.

Domna Tzemi


Maryia Mandryk, Paul Berentsen, Martin van Ittersum