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Seasonal, annual, and spatial variation in cereal prices in Sub-Saharan Africa

Creador: Bonilla Cedrez, C.
Creador: Chamberlin, J.
Creador: Hijmans, R.J.
Año: 2020
URI: https://hdl.handle.net/10883/20970
Formato: PDF
Lenguaje: English
Editor: Elsevier
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Tipo: Article
País de enfoque: Africa South of Sahara
Lugar de publicación: Amsterdam (Netherlands)
Volumen: 26
DOI: 10.1016/j.gfs.2020.100438
Palabras Claves: Prediction
Descripción: Local food prices are key indicators of food security and market conditions. Yet price data are often not available, particularly for rural areas of Sub-Saharan Africa. We compiled data from 168 markets to study spatial and temporal price variation. We found that prices slightly increase when the preceding growing season was dry. Across the continent, there is pronounced seasonal variation, with lowest prices 2–3 months after harvest and highest prices just before harvest. A predictive model explained 42% of the spatial variation in prices. Our results show that spatial and temporal price variation can be generalized and that prices can be estimated for unsampled locations or months. Such estimates may be used to improve the targeting of food security interventions and strengthen empirical policy-oriented research.
Agrovoc: FOOD PRICES
Agrovoc: DROUGHT
Agrovoc: SEASONALITY
Agrovoc: FORECASTING
Agrovoc: CEREALS
Datasets relacionados: https://www.sciencedirect.com/science/article/pii/S2211912420300924?via%3Dihub#appsec1
ISSN: 2211-9124
Revista: Global Food Security


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  • Socioeconomics
    Including topics such as farming systems, markets, impact & targeting, innovations, and GIS

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