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Article Dans Une Revue Agroforestry Systems Année : 2023

A method to better identify the socio-economic determinants of transformations in agroforestry systems

Résumé

This article presents a method for identifying the socio-economic determinants of transformations in agroforestry systems (AFS). It is based on the analysis of diachronic data collected on three levels: country, region and farm. It offers a new method of spatio-temporal triangulation, making it possible to identify and classify the main socio-economic determinants of these transformations. It proposes an evaluation grid based on seven categories of socio-economic determinants. These inputs are then used to produce models, which explain the logic of the transformations in AFS and the socio-economic determinants involved. Examples of Cameroonian cocoa-based agroforestry systems serve to illustrate the main steps and modalities for using this method and the results it can provide.
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Dates et versions

hal-04068681 , version 1 (14-04-2023)

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Philippe Pédelahore, Jean Étienne Bidou, Isabelle Droy, Sandrine Freguin-Gresh, Jean François Le Coq, et al.. A method to better identify the socio-economic determinants of transformations in agroforestry systems. Agroforestry Systems, 2023, 97 (3), pp.389-400. ⟨10.1007/s10457-022-00762-7⟩. ⟨hal-04068681⟩
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