1. Irrigation-Nutrition Linkages
Dawit K. Mekonnen, IFPRI
(with Claudia Ringler, Jowel Choufani, Elizabeth Bryan, Kaleab Baye, and Seid Yimam)
Funding: Feed the Future Innovation Lab for Small-Scale Irrigation, led by Texas A&M U and supported by USAID
Diets, Affordability and Policy in Ethiopia: From Evidence to Action
Addis Ababa | December 12, 2019
Photo: Desalegne Tadesse/IWMI
2. Irrigation in nutrition-related policies and strategies in Ethiopia
Food and Nutrition Policy (Nov. 2018):
Policy Framework (Page 8): “ … lack of agriculture, irrigation and other
economic infrastructures are considered as basic causes of malnutrition”.
Policy Direction 7.4 (Page 14): Ensure optimum nutrition at all stages of
life, with the objective to “Improve the nutritional status of people with
special focus on pregnant and lactating women, children and adolescents”
Nutrition Sensitive Agricultural Strategy (Nov. 2016):
Strategic Objective # 3 (Page 14): Increase year-round availability, access
and consumption of diverse, safe and nutritious foods where increasing
access to irrigation is one of the core activities
3. Pathways for the irrigation-Nutrition Linkages
Production Pathway
Income Pathway
Water Supply Pathway
Health Risks Pathway
Women’s Empowerment Pathway
4. Irrigation and Minimum Dietary Diversity for Women (MDDW)
0.069
0.132
0.168
0.133
0.132
0.292
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
Feb-April(2017) Oct-Nov (2017) July-Aug(2018)
AverageMDDW
Seasons
Average MDDW over seasons
by irrigation status
Non-irrigators Irrigators
0
0.05
0.1
0.15
0.2
0.25
FEB-APRIL(2017) OCT-NOV (2017) JULY-AUG(2018)
AVERAGEMFP
SEASONS
ANIMAL SOURCE FOODS
Non-irrigators Irrigators
Similar findings using women’s dietary diversity score (WDDS)
5. Irrigation and MDDW:
Controlling for observed and unobserved effects statistically
Irrigation buffers seasonal
dietary gaps for women
6. Irrigation and Micronutrients in Women’s Diets
Compared to non-irrigators,
women in irrigating households
Have higher consumption of
Vit-C and Calcium in February,
March, and April (an irrigation
and fasting season)
Have higher consumption of
iron in October and November
7. Irrigation on Stunting and Wasting of Children under 5 years
Children in irrigating households in
Ethiopia have a 0.79 SD higher
WHZ scores than that of children in
non-irrigating households
Reduced wasting of children in
irrigating HHs in Ethiopia, among
children who live in HHs who
reported drought at least once in
the previous 5 years
8. Conclusion
Irrigation is shown to have a strong effect on household’s economic
access to food and on nutritional outcomes of women and children.
As such, it needs to be promoted on its merit to improve nutrition, in
addition to its potential for higher income and yield.
9. Thank You!
Related Works
Passarelli, S., Mekonnen, D., Bryan, E., Ringler, C.. Evaluating the pathways from small-scale irrigation to dietary diversity: evidence from Ethiopia and Tanzania.
(2018) Food Sec. 10: 981. https://doi.org/10.1007/s12571-018-0812-5
Baye, K.; Choufani, J.; Mekonnen, D.; Bryan, E.; Ringler, C.; Griffiths, J. K.; and Davies, E. 2019. Irrigation and women’s diet in Ethiopia: A longitudinal study.
IFPRI Discussion Paper 1864. Washington, DC: International Food Policy Research Institute (IFPRI). https://doi.org/10.2499/p15738coll2.133399
Mekonnen, D. K.; Choufani, J.; Bryan, E.; Abizari, A.; Ringler, C.; and Amikuzuno, J.. 2019. Irrigation-nutrition linkages: Evidence from northern Ghana. IFPRI
Discussion Paper 1887. Washington, DC: International Food Policy Research Institute (IFPRI). https://doi.org/10.2499/p15738coll2.133515
Ringler, C.; Choufani, J.; Chase, C.; McCartney, M.; Mateo-Sagasta, J.; Mekonnen, D.; Dickens, C. 2018. Meeting the nutrition and water targets of the
Sustainable Development Goals: Achieving progress through linked interventions. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR
Research Program on Water, Land and Ecosystems (WLE); Washington, DC, USA: The World Bank. 24p. (WLE Research for Development (R4D) Learning
Series 7). doi: 10.5337/2018.221
Editor's Notes
The base/reference season is round 2 (Oct-Nov 2017). Thus, the “irrigation status, 1=yes” variable refers to the effect of irrigation on MDDW and WDDS in Oct-Nov 2017.
The econometric approach controls for socio-economic characteristics such as size of land ownership, no. of adults in the household, number of children under 5, off-farm income, fasting status, lactating status (only a handful of pregnant mothers in the sample), and all-time invariant household fixed effects (across the 3 survey rounds).
The base/reference season is round 2 (Oct-Nov 2017). Thus, the “irrigation status, 1=yes” variable refers to the effect of irrigation on MDDW and WDDS in Oct-Nov 2017.
The econometric approach controls for socio-economic characteristics such as size of land ownership, no. of adults in the household, number of children under 5, off-farm income, fasting status, lactating status (only a handful of pregnant mothers in the sample), and all-time invariant household fixed effects (across the 3 survey rounds).
The base/reference season is round 2 (Oct-Nov 2017). Thus, the “irrigation status, 1=yes” variable refers to the effect of irrigation on MDDW and WDDS in Oct-Nov 2017.
The econometric approach controls for socio-economic characteristics such as size of land ownership, no. of adults in the household, number of children under 5, off-farm income, fasting status, lactating status (only a handful of pregnant mothers in the sample), and all-time invariant household fixed effects (across the 3 survey rounds).