Suchergebnisse

Investment and innovation play an important role in the agricultural sector, allowing farms to adapt to policy changes and market condition changes. In the last decades, farms in the European Union (EU) have faced substantial changes in the Common Agricultural Policy (CAP). This is particularly the case of the dairy sector, which has seen the end of milk quota regime and an increased price volatility. Such changes could affect farm productivity and efficiency, the dairy sector's competitiveness and structural change. Understanding the mechanisms underlying farms' investment behaviour could allow identifying key drivers that influence the observed trends. This could help anticipate future structural changes, predict farms' needs and help policy makers and other stakeholders in farming to adapt their policy. The thesis contributes to this objective by analysing for dairy farms in a sub-region of Brittany (Ille-et-Vilaine) in France, (i) the impact of the termination of the milk quota on farmers' investment decisions and the heterogeneity of farm investment behaviour, (ii) the link between farm performance and farmers' investment decisions, (iii) the role of social interactions related to neighbourhood effects on farmers' investment decision. Findings show that the ending of the dairy quota policy increased farmers' incentive to invest, contributing to the trend towards larger, more capital intensive and more specialised dairy farms. In addition, the thesis underlines the need to take into account farmers' heterogeneity in modelling investment behaviour. Doing so allows differentiated strategies to be revealed and can help design targeted policies aiming at encouraging investment, in particular in the context of quota system elimination. Finally, the thesis provides evidence that farmers account for their neighbours' decisions when they make large investment decisions. However, although neighbourhood effects are a positive multiplier in farms' investment decisions, policies should also take into account that farms ...

L'objectif général des travaux de la Chaire « Entreprises et Économie Agricole », fruit du partenariat entre le Crédit Agricole en Bretagne et AGROCAMPUS OUEST, est d'identifier et étudier les différents facteurs qui expliquent l'évolution des structures agricoles et de leurs performances, en France et plus spécifiquement en Bretagne. Ces travaux doivent permettre de réfléchir à ce que pourrait être le « modèle agricole » breton d'ici 10 à 15 ans, et aux moyens à mettre en place tant aux niveaux humains, organisationnels, financiers que politiques, pour accompagner ou infléchir les tendances à l'œuvre. Dans ce cadre, l'objectif de la thèse qui se déroule depuis octobre 2015 à l'UMR SMART-LERECO, est d'analyser les comportements d'investissement des agriculteurs, les liens avec la performance et le cycle de vie des exploitations agricoles, ainsi que les politiques publiques. La troisième partie de cette thèse vise en particulier à identifier le rôle des interactions sociales dues à la proximité géographique d'autres producteurs sur le comportement d'investissement des éleveurs laitiers d'Ille-et-Vilaine.

This article analyses the spatial effects in farmers' investment decisions, in particular the role of neighbourhood effects, for the specific case of dairy farmers in a region of Western France. Investment decisions are measured by investment spikes, enabling the analysis to be linked to the literature on adoption of technology innovation. The main contribution is in accounting for the effect of the previous decisions of the farmers' neighbours, with the help of a spatial probit econometric model that includes investment age. Results show that farmers are not immediately influenced by the simultaneously-made decisions of their neighbours, but rather by the decisions taken by their neighbours in the year before. However, this positive influence does not compensate for the negative effect of own previous investment decisions

This article analyses the spatial effects in farmers' investment decisions, in particular the role of neighbourhood effects, for the specific case of dairy farmers in a region of Western France. Investment decisions are measured by investment spikes, enabling the analysis to be linked to the literature on adoption of technology innovation. The main contribution is in accounting for the effect of the previous decisions of the farmers' neighbours, with the help of a spatial probit econometric model that includes investment age. Results show that farmers are not immediately influenced by the simultaneously-made decisions of their neighbours, but rather by the decisions taken by their neighbours in the year before. However, this positive influence does not compensate for the negative effect of own previous investment decisions