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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Analyse par composantes principales des déterminants de la résilience des petits exploitants agricoles de la Vallée du Souss

Authors: EL JARARI, Mustapha;

Analyse par composantes principales des déterminants de la résilience des petits exploitants agricoles de la Vallée du Souss

Abstract

Résumé Cette étude utilise le cadre RIMA-II (FAO, 2016) pour analyser les déterminants de la résilience des petits exploitants agricoles dans la vallée du Souss, en s'appuyant sur quatre piliers clés : accès aux services de base, actifs agricoles et non agricoles, filets de sécurité sociale et capacité d'adaptation. L'approche méthodologique repose sur deux étapes : une analyse en composantes principales (ACP) suivie d'une rotation Varimax. L'ACP a permis de simplifier les données et d'identifier un ensemble cohérent de variables influençant la résilience. Les résultats révèlent que l'accessibilité des services publics impacte fortement le premier pilier, tandis que les ressources foncières et agricoles sont essentielles pour le deuxième pilier. La participation dans les organisations communautaires est déterminante pour le troisième pilier, et les ressources et pratiques agricoles jouent un rôle clé dans le quatrième pilier. Cette analyse fournit une compréhension approfondie des principaux déterminants de la résilience des ménages dans cette région historiquement agricole du Maroc. Mots-clés : ACP, Petits exploitants, Résilience, RIMA II, Vallée du Souss. JEL Classification : O13 Type de papier : Recherche empirique Abstract This study uses the RIMA-II framework (FAO, 2016) to analyze the determinants of resilience among smallholder farmers in the Souss Valley, focusing on four key pillars: access to basic services, agricultural and non-agricultural assets, social safety nets, and adaptive capacity. The methodological approach is based on two steps: principal component analysis (PCA) followed by Varimax rotation. PCA helped simplify the data and identify a coherent set of variables influencing resilience. The results reveal that the accessibility of public services has a strong impact on the first pillar, while land and agricultural resources are essential for the second pillar. Participation in community organizations is a key factor for the third pillar, and agricultural resources and practices play a major role in the fourth pillar. This analysis provides an in-depth understanding of the primary determinants of resilience for households in this historically agricultural region of Morocco. Keywords: PCA, Resilience, RIMA II, Smallholder Farmers, Souss Valley. JEL Classification : O13 Paper type : Empirical research

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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