Data for the evaluation of irrigation development interventions in Northern Ethiopia.
Clicks: 241
ID: 53009
2019
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Steady Performance
70.8
/100
240 views
190 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
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.
| Reference Key |
yigzaw2019datadata
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Yigzaw, Negusse;Mburu, John;Ogutu, Chris Ackello;Whitney, Cory;Luedeling, Eike; |
| Journal | Data in brief |
| Year | 2019 |
| DOI |
10.1016/j.dib.2019.104342
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.