Are irrigation projects in Sub-Saharan Africa prohibitively expensive?: Evidence from new data and insights for future investments

This paper uses 314 irrigation projects implemented from 1960-2000 in six regions worldwide to identify: (1) whether the perception of high cost of irrigation projects in SSA can be empirically supported; (2) what factors determine the costs and performance of irrigation projects; and (3) whether th...

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Autores principales: Inocencio, Arlene B., Maruyama, Atsushi, Tonosaki Manabu, Merrey, Douglas J., Kikuchi, Masao
Formato: Informe técnico
Lenguaje:Inglés
Publicado: 2007
Materias:
Acceso en línea:https://hdl.handle.net/10568/40001
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author Inocencio, Arlene B.
Maruyama, Atsushi
Tonosaki Manabu
Merrey, Douglas J.
Kikuchi, Masao
author_browse Inocencio, Arlene B.
Kikuchi, Masao
Maruyama, Atsushi
Merrey, Douglas J.
Tonosaki Manabu
author_facet Inocencio, Arlene B.
Maruyama, Atsushi
Tonosaki Manabu
Merrey, Douglas J.
Kikuchi, Masao
author_sort Inocencio, Arlene B.
collection Repository of Agricultural Research Outputs (CGSpace)
description This paper uses 314 irrigation projects implemented from 1960-2000 in six regions worldwide to identify: (1) whether the perception of high cost of irrigation projects in SSA can be empirically supported; (2) what factors determine the costs and performance of irrigation projects; and (3) whether there are cheaper and better performing irrigation investments for SSA. This study shows that the popular view that African irrigation projects are prohibitively expensive is not tenable, and demonstrates that there are viable investment options for irrigation development in SSA.
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spelling CGSpace400012021-10-08T05:26:27Z Are irrigation projects in Sub-Saharan Africa prohibitively expensive?: Evidence from new data and insights for future investments Inocencio, Arlene B. Maruyama, Atsushi Tonosaki Manabu Merrey, Douglas J. Kikuchi, Masao irrigation programs costs performance models statistical methods This paper uses 314 irrigation projects implemented from 1960-2000 in six regions worldwide to identify: (1) whether the perception of high cost of irrigation projects in SSA can be empirically supported; (2) what factors determine the costs and performance of irrigation projects; and (3) whether there are cheaper and better performing irrigation investments for SSA. This study shows that the popular view that African irrigation projects are prohibitively expensive is not tenable, and demonstrates that there are viable investment options for irrigation development in SSA. 2007 2014-06-13T14:29:50Z 2014-06-13T14:29:50Z Report https://hdl.handle.net/10568/40001 en Limited Access Inocencio, Arlene; Maruyama, Atsushi; Tonosaki Manabu; Merrey, Douglas J.; Kikuchi, Masao. 2007. Are irrigation projects in Sub-Saharan Africa prohibitively expensive?: Evidence from new data and insights for future investments. Unpublished report. 36p.
spellingShingle irrigation programs
costs
performance
models
statistical methods
Inocencio, Arlene B.
Maruyama, Atsushi
Tonosaki Manabu
Merrey, Douglas J.
Kikuchi, Masao
Are irrigation projects in Sub-Saharan Africa prohibitively expensive?: Evidence from new data and insights for future investments
title Are irrigation projects in Sub-Saharan Africa prohibitively expensive?: Evidence from new data and insights for future investments
title_full Are irrigation projects in Sub-Saharan Africa prohibitively expensive?: Evidence from new data and insights for future investments
title_fullStr Are irrigation projects in Sub-Saharan Africa prohibitively expensive?: Evidence from new data and insights for future investments
title_full_unstemmed Are irrigation projects in Sub-Saharan Africa prohibitively expensive?: Evidence from new data and insights for future investments
title_short Are irrigation projects in Sub-Saharan Africa prohibitively expensive?: Evidence from new data and insights for future investments
title_sort are irrigation projects in sub saharan africa prohibitively expensive evidence from new data and insights for future investments
topic irrigation programs
costs
performance
models
statistical methods
url https://hdl.handle.net/10568/40001
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