Plan Sénégal Emergent 2019-2023

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Dataset information

Country of origin
Updated
2019.02.26 00:00
Created
2019.02.26
Available languages
English
Keywords
extension, Sénégal, matrice de comptabilité sociale, MCS, irrigation, transport, investissement, CGE, recherche agricole, investment, education, inputs, STAGE-DEV, PANAP, Senegal, intrants, santé, SAM, health, éducation, agriculture, Social accounting matrix
Quality scoring
270

Dataset description

Ce rapport fournit des arguments scientifiques à l'appui d'options politiques en faveur du secteur agricole pour la deuxième phase du Plan Sénégal Emergent (PSE) et de son Plan d'Actions Prioritaires (PAP) en 2019-2023. Cinq scénarios d'allocation budgétaire sont proposés au vu de leur impact respectif sur plusieurs cibles de performance visées par le PSE. Ils couvrent l'augmentation des dépenses vers (i) la recherche agricole et la dissémination des connaissances, (ii) les subventions aux intrants, (iii) les infrastructures d'irrigation, (iv) les infrastructures de transport en zones rurales et (v) l'éducation rurale et la santé rurale. Ils sont simulés avec un Modèle d'Equilibre Général Calculable (MEGC) dynamique récursif à l'échelle de l'économie du Sénégal. Ce modèle est calibré à partir d'une Matrice de Comptabilité Sociale (MCS) au secteur agricole désagrégé et de données de dépenses publiques collectées par le programme Suivi et Analyse des Politiques Agricoles et Alimentaires (SAPAA). This report provides scientific evidences supporting policy options for the agricultural sector in the second phase of the Emerging Senegal Plan (ESP) and corresponding Priority Action Plan (PAP) over the period 2019-2023. Five budget allocation scenarios are proposed in view of their respective impact on several performance targets put forward by the ESP. They cover increased expenditures towards (i) agricultural research and extension, (ii) input subsidies, (iii) irrigation infrastructure, (iv) rural transport infrastructure, and (v) rural education and rural health. They are simulated with a recursive dynamic Computable General Equilibrium (CGE) model specifically modified for the context of Senegal. This model is calibrated to a Social Accounting Matrix (SAM) with a disaggregated agricultural sector and public expenditure data collected by the programme Monitoring and Analysing Food and Agricultural Policies (MAFAP).
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