Mapping development potential of dry-season small-scale irrigation in Sub-Saharan African countries under joint biophysical and economic constraints - An agent-based modeling approach with an application to Ethiopia
Authors:
- Hua XieHXHua Xie
- Liangzhi YouLYLiangzhi You
- Yihun T. DileYDYihun T. Dile
- Abeyou W. WorqlulAWAbeyou W. Worqlul
- Jean-Claude BizimanaJBJean-Claude Bizimana
- Raghavan SrinivasanRSRaghavan Srinivasan
- James W. RichardsonJRJames W. Richardson
- Thomas GerikTGThomas Gerik
- Neville ClarkNCNeville Clark
Open Access
- 1 January 2021
- journal article
- research article
- Published by Elsevier in Agricultural Systems
- Vol. 186
Abstract
No abstract availableKeywords
Funding Information
- United States Agency for International Development
This publication has 24 references indexed in Scilit:
- The case for distributed irrigation as a development priority in sub-Saharan AfricaProceedings of the National Academy of Sciences, 2013
- Spatial agent-based models for socio-ecological systems: Challenges and prospectsEnvironmental Modelling & Software, 2013
- Social Learning and Farm Technology in Ethiopia: Impacts by Technology, Network Type, and Poverty StatusThe Journal of Development Studies, 2012
- A Gis-Based Assessment of Groundwater Suitability for Irrigation Purposes in Flat Areas of the Wet Pampa Plain, ArgentinaEnvironmental Management, 2012
- What is the irrigation potential for Africa? A combined biophysical and socioeconomic approachFood Policy, 2011
- Innovation Diffusion in Heterogeneous Populations: Contagion, Social Influence, and Social LearningAmerican Economic Review, 2009
- The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research DirectionsTransactions of the ASABE, 2007
- Statistical Methods for Eliciting Probability DistributionsJournal of the American Statistical Association, 2005
- LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT1Jawra Journal of the American Water Resources Association, 1998
- Economic forecasting in agricultureInternational Journal of Forecasting, 1994