Your search found 5 records
1 Jensen, P. K.; Jayasinghe, Gayathri; van der Hoek, Wim; Cairncross, S.; Dalsgaard, A. 2004. Is there an association between bacteriological drinking water quality and childhood diarrhea in developing countries? Tropical Medicine and International Health, 9(11):1210-1215.
Domestic water ; Water pollution ; Water quality ; Sanitation ; Public health ; Risks ; Waterborne diseases / Pakistan / Punjab
(Location: IWMI-HQ Call no: IWMI 628.1 G730 JEN Record No: H035926)
2 Nganga, P. N.; Shililu, J.; Jayasinghe, Gayathri; Kimani, V.; Kabutha, C.; Kabuage, L.; Kabiru, E.; Githure, J.; Mutero, Clifford. 2008. Malaria vector control practices in an irrigated rice agro-ecosystem in central Kenya and implications for malaria control. Malaria Journal, 7(146):9p.
Malaria ; Disease vectors ; Waterborne diseases ; Irrigated rice ; Ecosystems ; Public health ; Surveys ; Households ; Environmental management / Kenya
(Location: IWMI HQ Call no: IWMI 614.532 G140 NGA Record No: H041485)
3 Hagos, Fitsum; Jayasinghe, Gayathri; Awulachew, Seleshi Bekele; Loulseged, Makonnen; Denekew, Aster. 2008. Poverty impacts of agricultural water management technologies in Ethiopia. Paper presented at the African Economic Research Consortium (AERC) 20th Anniversary Conference on Natural Resource Management and Climate Change in Sub-Saharan Africa, Nairobi, Kenya, 15-17 September 2008. 29p.
(Location: IWMI HQ Call no: e-copy only Record No: H041695)
(0.26 MB)
Farmers in rural Ethiopia live in a shock-prone environment. The major source of shock is the persistent variation in the amount and distribution of rainfall. The dependence on unreliable rainfall increases farmers’ vulnerability to shocks while also constraining farmers’ decisions to use yield-enhancing modern inputs exacerbating household’s vulnerability to poverty and food insecurity. As a response, the government of Ethiopia has embarked on massive investment in low cost agricultural water management technologies (AWMTs). Despite these huge investments, their impact remains hardly understood.
The main focus of this paper was to explore whether access to selected AWMTs, such as deep and shallow wells, ponds, river diversions and small dams, has led to significant reduction in poverty, and if they did to identify which technologies have higher impacts. In measuring impact we followed different approaches: mean separation tests, propensity score matching and poverty analysis. The study used a unique dataset from a representative sample of 1517 households from 29 Kebeles in four regions of Ethiopia. Findings indicated that the estimated average treatment effect was significant and amounted to USD 82/ household. Moreover, there was 22% less poverty among users of AWMTs compared to non-users. The poverty impact of AWMT was also found to differ by technology type. Accordingly, deep wells, river diversions and micro dams have led to 50, 32 and 25 percent reduction in poverty levels compared to the reference, i.e. rain fed system. Finally, our study identified the most important determinants of poverty on the basis of which we made the policy recommendations: i) build assets; ii) human resource development; and iii) improve the functioning of labor markets and access to markets (input or output markets) for enhanced impact of AWMT on poverty.
The main focus of this paper was to explore whether access to selected AWMTs, such as deep and shallow wells, ponds, river diversions and small dams, has led to significant reduction in poverty, and if they did to identify which technologies have higher impacts. In measuring impact we followed different approaches: mean separation tests, propensity score matching and poverty analysis. The study used a unique dataset from a representative sample of 1517 households from 29 Kebeles in four regions of Ethiopia. Findings indicated that the estimated average treatment effect was significant and amounted to USD 82/ household. Moreover, there was 22% less poverty among users of AWMTs compared to non-users. The poverty impact of AWMT was also found to differ by technology type. Accordingly, deep wells, river diversions and micro dams have led to 50, 32 and 25 percent reduction in poverty levels compared to the reference, i.e. rain fed system. Finally, our study identified the most important determinants of poverty on the basis of which we made the policy recommendations: i) build assets; ii) human resource development; and iii) improve the functioning of labor markets and access to markets (input or output markets) for enhanced impact of AWMT on poverty.
4 Ngang, P. N.; Jayasinghe, Gayathri; Kimani, V.; Shililu, J.; Kabutha, C.; Kabuage, L.; Githure, J.; Mutero, Clifford. 2009. Bed net use and associated factors in a rice farming community in central Kenya. Malaria Journal, 8(64):1-8. [doi: https://doi.org/10.1186/1475-2875-8-64]
Rice ; Malaria ; Waterborne diseases ; Public health ; Disease prevention ; Disease control ; Paddy fields / Kenya / Africa South of Sahara
(Location: IWMI HQ Call no: e-copy only Record No: H042157)
http://www.malariajournal.com/content/pdf/1475-2875-8-64.pdf
https://vlibrary.iwmi.org/PDF/H042157.pdf
https://vlibrary.iwmi.org/PDF/H042157.pdf
(0.39 MB)
5 Hagos, Fitsum; Jayasinghe, Gayathri; Awulachew, Seleshi Bekele; Loulseged, Mekonnen; Yilma, Aster Denekew. 2012. Agricultural water management and poverty in Ethiopia. Agricultural Economics, 43(Issue Supplement S1):99-111. [doi: https://doi.org/10.1111/j.1574-0862.2012.00623.x]
Agriculture ; Water management ; Technology ; Poverty ; Analytical methods ; Impact assessment / Ethiopia
(Location: IWMI HQ Call no: e-copy only Record No: H045038)
(0.70 MB)
The main focus of this article is to explore whether access to selected agricultural water management (AWM) technologies has led to significant reduction in poverty and, if they did so, to identify which technologies had higher impacts. In measuring impact we estimated the average treatment effect for the treated on crop income and measured the differences in consumption expenditures per adult equivalent of those with access and without access using matched data. The estimated average treatment effect was significant and amounted to USD 82 per season. Moreover, there was 24 less poverty incidence among users of AWM technologies compared to nonusers. All technologies were found to have significant poverty reducing impacts with micro dams, deep wells, river diversions, and ponds leading to 37%, 26%, 11%, and 9% reduction in poverty incidence compared to rainfed system. Finally, our study identified the most important correlates of poverty on the basis this we made the policy recommendations to build assets (AWM technologies, livestock, etc); to enhance human resource development and improve the functioning of labor markets for enhanced impact of AWM technologies on poverty.
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