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Farm income and non-farm income of farmers from 2003 to 2016

Par : Type de matériel : TexteTexteLangue : français Détails de publication : 2022. Sujet(s) : Ressources en ligne : Abrégé : The border between the private and professional spheres is still difficult to mark out today for income and assets of agricultural households. In the case of corporate forms, land heritage is often held by the partners, and the development of non-agricultural activities on the farm generates resources sometimes declared as agricultural profits, sometimes as commercial profits. Integrating off-farm income into the analysis of farmers’ income makes sense and also remains a challenge, given the available data. This text proposes an original method, based on a matching between the Farm Agricultural Data Network (FADN) and tax data, to track the farm and non-farm income of farmers working on a medium or large-scale farm from 2003 to 2016. These data highlight the impact of variations in farm income on the average overall income of households. The additional salaries, for the households concerned, provide a “mattress effect,” which is all the more useful for households declaring negative income six or seven times between 2010 and 2016.
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The border between the private and professional spheres is still difficult to mark out today for income and assets of agricultural households. In the case of corporate forms, land heritage is often held by the partners, and the development of non-agricultural activities on the farm generates resources sometimes declared as agricultural profits, sometimes as commercial profits. Integrating off-farm income into the analysis of farmers’ income makes sense and also remains a challenge, given the available data. This text proposes an original method, based on a matching between the Farm Agricultural Data Network (FADN) and tax data, to track the farm and non-farm income of farmers working on a medium or large-scale farm from 2003 to 2016. These data highlight the impact of variations in farm income on the average overall income of households. The additional salaries, for the households concerned, provide a “mattress effect,” which is all the more useful for households declaring negative income six or seven times between 2010 and 2016.

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