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Public investment in irrigation and training, growth and poverty reduction in Ethiopia
Cite this article
as: L. M Beyene, E. Engida; 2016; Public investment in irrigation and training, growth and poverty reduction in Ethiopia; International Journal of Microsimulation; 9(1); 86-108.
doi: 10.34196/ijm.00129
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Table 1
Summary of scenarios.
Scenarios | Time frame | |
---|---|---|
Simulation 1 | 10% increase in public investment for farmer training | 2nd period |
11.8% increase in skilled agricultural labor supply | 3rd period | |
1.5% improvement in TFP in irrigated agriculture crop sectors | 3rd period | |
Simulation 2 | 10% increase in public investment in irrigation uniformly across all agricultural sub-sectors | 2nd period |
10.5% increase in irrigated land | 3rd period | |
2% improvement in TFP in irrigated agriculture crop sectors | 3rd period | |
Simulation 3 | Simulation 1 + Simulation 2 for public investment | 2nd period |
3.5% improvement in TFP in irrigated agriculture crop sectors | 3rd period |
Table 2
Macroeconomic results (% change from reference scenario).
Investment in training | Investment in irrigation | Investment in irrigation + training | |||||
---|---|---|---|---|---|---|---|
2014–15 | 2019–20 | 2014–15 | 2019–20 | 2014–15 | 2019–20 | ||
GDP | Agriculture | 0.16 | 0.16 | 0.21 | 0.21 | 0.41 | 0.41 |
Irrigated agriculture | 16.63 | 16.62 | 3.91 | 3.90 | 20.91 | 20.89 | |
Rain-fed agriculture | −2.78 | −2.79 | −0.43 | −0.43 | −3.22 | −3.24 | |
Manufacturing | −0.17 | −0.48 | −0.03 | −0.06 | −0.21 | −0.55 | |
Services | 0.03 | 0.03 | −0.01 | −0.03 | 0.02 | 0.00 | |
TOTAL | 0.07 | 0.04 | 0.09 | 0.07 | 0.17 | 0.13 | |
Investment | Private | −1.95 | −2.26 | −0.17 | −0.20 | −2.13 | −2.46 |
Public | 3.69 | 3.69 | 0.32 | 0.32 | 4.01 | 4.01 | |
TOTAL | −0.03 | −0.07 | 0.01 | 0.00 | −0.02 | −0.06 | |
Agriculture | −0.37 | −0.44 | −0.28 | −0.29 | −0.71 | −0.79 | |
Consumer | Agricultural food crops | −0.62 | −0.70 | −0.32 | −0.32 | −0.99 | −1.07 |
Price | Manufacturing | 0.13 | 0.19 | −0.02 | −0.01 | 0.09 | 0.17 |
Index | Services | 0.21 | 0.50 | 0.07 | 0.09 | 0.29 | 0.60 |
TOTAL | −0.08 | −0.03 | −0.12 | −0.11 | −0.23 | −0.17 | |
Exports | Agriculture | 0.30 | 0.42 | 0.79 | 0.31 | 0.42 | 0.79 |
Industry | −0.23 | −0.01 | −0.23 | −0.50 | −0.04 | −0.54 | |
Services | −0.28 | −0.05 | −0.34 | −0.68 | −0.09 | −0.77 | |
TOTAL | −0.08 | 0.11 | 0.05 | −0.33 | 0.09 | −0.22 | |
Imports | Agriculture | −0.46 | −0.10 | −0.58 | −0.60 | −0.11 | −0.73 |
Industry | −0.06 | 0.00 | −0.07 | −0.18 | −0.01 | −0.19 | |
Services | 0.20 | 0.09 | 0.30 | 0.41 | 0.11 | 0.53 | |
TOTAL | −0.03 | 0.01 | −0.02 | −0.09 | 0.01 | −0.08 | |
Output | Agriculture | 0.17 | 0.17 | 0.21 | 0.21 | 0.42 | 0.42 |
Irrigated agriculture | 16.98 | 16.96 | 3.68 | 3.68 | 21.01 | 20.99 | |
Rain-fed agriculture | −2.82 | −2.84 | −0.38 | −0.39 | −3.22 | −3.24 | |
Manufacturing | −0.18 | −0.48 | −0.03 | −0.06 | −0.21 | −0.55 | |
Services | 0.02 | 0.02 | −0.01 | −0.03 | 0.01 | −0.01 | |
TOTAL | 0.03 | −0.03 | 0.07 | 0.05 | 0.11 | 0.03 |
Table 3
Changes in agricultural factors income in real terms ((% change from reference scenario).
Investment in training | Investment in irrigation | Investment in irrigation + training | ||||
---|---|---|---|---|---|---|
2014–15 | 2019–20 | 2014–15 | 2019–20 | 2014–15 | 2019–20 | |
Skilled agricultural labor | 11.78 | 11.59 | −8.67 | −8.51 | 11.72 | 11.53 |
Unskilled agricultural labor | −2.00 | −2.16 | 1.60 | 1.75 | −2.03 | −2.19 |
Total agricultural labor | 0.38 | 0.22 | −0.38 | −0.22 | 0.39 | 0.23 |
Irrigated land | 8.80 | 8.58 | 1.11 | 1.06 | 8.28 | 8.06 |
Non-irrigated land | −3.49 | −3.68 | 2.78 | 2.98 | −3.57 | −3.76 |
Livestock | 0.00 | −0.06 | 0.12 | 0.17 | 0.03 | −0.02 |
Total agricultural capital | −1.51 | −1.65 | 1.67 | 1.79 | −1.50 | −1.64 |
Total agricultural factors | −0.05 | −0.23 | 0.08 | 0.25 | −0.04 | −0.22 |
Table 4
Changes in FGT indices (% change from reference scenario).
2014–15 | 2019–20 | |||||
---|---|---|---|---|---|---|
Investment in training | Investment in irrigation | Investment in irrigation + training | Investment in training | Investment in irrigation | Investment in irrigation + training | |
Poverty incidence | ||||||
National | −0.47 | −0.06 | −0.75 | −0.20 | −0.06 | −0.46 |
Rural | −0.51 | −0.05 | −0.82 | −0.22 | 0.00 | −0.46 |
Urban | −0.20 | −0.14 | −0.38 | −0.07 | −0.41 | −0.43 |
Poverty gap | ||||||
National | −0.58 | −0.15 | −0.78 | −0.27 | −0.14 | −0.46 |
Rural | −0.63 | −0.10 | −0.77 | −0.30 | −0.08 | −0.43 |
Urban | −0.28 | −0.44 | −0.82 | −0.04 | −0.51 | −0.65 |
Poverty severity | ||||||
National | −0.63 | −0.16 | −0.84 | −0.28 | −0.14 | −0.48 |
Rural | −0.68 | −0.10 | −0.82 | −0.32 | −0.08 | −0.44 |
Urban | −0.34 | −0.52 | −0.96 | −0.05 | −0.56 | −0.72 |
Table 5
Changes in poverty incidence: national rural and urban (cumulative % change from reference scenario in 2010–11).
2014–15 | 2019–20 | |||||
---|---|---|---|---|---|---|
Investment in training | Investment in irrigation | Investment in irrigation + training | Investment in training | Investment in irrigation | Investment in irrigation + training | |
National | −1.50 | −0.21 | −2.42 | −0.24 | −0.07 | −0.55 |
Rural | −1.50 | −0.21 | −2.42 | −0.24 | −0.07 | −0.55 |
Urban | −0.67 | −0.46 | −1.25 | −0.08 | −0.50 | −0.52 |
Table 6
Changes in the number of poor (cumulative % change from reference scenario in 2010–11).
BAU reference scenario | Investment in training | Investment in irrigation | Investment in irrigation + training | |
---|---|---|---|---|
Total number of poor 2014/15 | −3,477,899.67 | −3,566,496 | −3,490,060 | −3,620,623 |
Total number of poor 2019/20 | −7,058,304.39 | −7,089,129 | −7,067,681 | −7,128,995 |
Total number of poor since policy implementation | −654,067 | −185,948 | −900,702 |
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