Fiche du document
13 décembre 2018
- handle: 10670/1.hgr2s1
- hal: hal-02024077
- PRODINRA: 458435
info:eu-repo/semantics/OpenAccess
Mots-clés
farm investment spatial neighbourhood effects dairy France C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C21 - Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions O - Economic Development, Innovation, Technological Change, and Growth/O.O1 - Economic Development/O.O1.O13 - Agriculture • Natural Resources • Energy • Environment • Other Primary Products R - Urban, Rural, Regional, Real Estate, and Transportation Economics/R.R1 - General Regional Economics/R.R1.R12 - Size and Spatial Distributions of Regional Economic Activity R - Urban, Rural, Regional, Real Estate, and Transportation Economics/R.R4 - Transportation Economics/R.R4.R42 - Government and Private Investment Analysis • Road Maintenance • Transportation PlanningSujets proches
Transportation industry Transport Transportation companies Transportation--Economic aspects Transportation, Primitive Public transportation Farm operators Operators, Farm Planters (Persons)Citer ce document
Loic Levi et al., « Spatial effects in investment decisions: Evidence from French dairy farms », HAL-SHS : économie et finance, ID : 10670/1.hgr2s1
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Résumé
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