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Data for the evaluation of irrigation development interventions in Northern Ethiopia.
Yigzaw, Negusse; Mburu, John; Ogutu, Chris Ackello; Whitney, Cory; Luedeling, Eike.
Afiliación
  • Yigzaw N; World Agroforestry Centre (ICRAF), United Nations Avenue, Gigiri, P. O. Box 30677-00100, Nairobi, Kenya.
  • Mburu J; Center for Development Research (ZEF), University of Bonn, Genscherallee 3, D-53113, Bonn, Germany.
  • Ogutu CA; University of Nairobi, Dept. of Agricultural Economics, Kangemi, P. O. Box 29053-00625, Nairobi, Kenya.
  • Whitney C; University of Nairobi, Dept. of Agricultural Economics, Kangemi, P. O. Box 29053-00625, Nairobi, Kenya.
  • Luedeling E; University of Nairobi, Dept. of Agricultural Economics, Kangemi, P. O. Box 29053-00625, Nairobi, Kenya.
Data Brief ; 25: 104342, 2019 Aug.
Article en En | MEDLINE | ID: mdl-31489351
This data article provides the datasets that are used in the holistic ex-ante impact evaluation of an irrigation dam construction project in Northern Ethiopia [1]. We used an expert knowledge elicitation approach as a means of acquiring the data. The data shared here captures all the parameters considered important in the impact pathway (i.e. the expected benefits, costs, and risks) of the decision to construct an irrigation dam. The dataset is disaggregated for two impact pathway models: one complementing the dam construction with catchment restoration and the other without catchment restoration. Both models are scripted in the R programming language. The data can be used to examine how the construction of an irrigation dam affects the incomes as well as the food and nutritional status of farmers that are affected by the intervention.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Data Brief Año: 2019 Tipo del documento: Article País de afiliación: Kenia Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Data Brief Año: 2019 Tipo del documento: Article País de afiliación: Kenia Pais de publicación: Países Bajos