Non-traded food commodity spatial price transmission: evidence from the Niger millet market

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dc.creatorTankari, Mahamadou Roufahi
dc.creatorGoundan, Anatole
dc.date2018-03-01
dc.date2024-06-21T09:04:33Z
dc.date2024-06-21T09:04:33Z
dc.date.accessioned2026-06-27T15:41:44Z
dc.descriptionUsing an Augmented Factor Vector Autoregressive (FAVAR) Model, this study analyzes spatial millet prices transmission in Niger. Our results did not find condition for millet markets integration existence. However, the Granger causality tests and impulse response functions from the estimated short‐term dynamic as FAVAR model revealed the existence of leading markets whose millet prices affect a maximum number of other regional millet prices, while some regions seem to be isolated from trade or information flows. Furthermore, the significance of a shock depends also on the characteristics of the region where it originates in terms of millet demand or supply, indicating that the region to target and where the price shock originated matter for the policies’ success.
dc.identifierhttps://hdl.handle.net/10568/145483
dc.identifier.urihttp://hdl.handle.net/123456789/111984
dc.languageen
dc.publisherWiley
dc.rightsLimited Access
dc.sourceTankari, Mahamadou Roufahi; and Goundan, Anatole. 2018. Non-traded food commodity spatial price transmission: evidence from the Niger millet market. Agricultural Economics 49(2): 147-156. https://doi.org/10.1111/agec.12404
dc.subjectmodels
dc.subjectsupply balance
dc.subjectagricultural products
dc.subjectfood policies
dc.subjectmillets
dc.subjectprice volatility
dc.subjectintegration
dc.subjectfood prices
dc.titleNon-traded food commodity spatial price transmission: evidence from the Niger millet market
dc.typeJournal Article

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Instituto Internacional de Investigación sobre Políticas Alimentarias (IFPRI)