is mozambique on the eve of rice green revolution? a case study of the chokwe irrigation scheme
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Is Mozambique on the eve of rice Green Revolution? A case study of the Chokwe irrigation scheme. Kei Kajisa (IRRI & FASID) Ellen Payongyong (Michigan State Univ.). Introduction (1). The importance of rice in Moz. has been increasing rapidly. Rapid consumption growth - PowerPoint PPT PresentationTRANSCRIPT
Is Mozambique on the eve of rice Green Revolution? A case study of
the Chokwe irrigation scheme
Kei Kajisa (IRRI & FASID)Ellen Payongyong (Michigan State Univ.)
Introduction (1)• The importance of rice in Moz. has been
increasing rapidly.
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Consumption
•Rapid consumption growth
•Stagnated production growth
•Rapid increase in rice imports
•Increasing foreign exchange expenditure
Introduction (2)• Why has production stagnated since
2000?
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•Stagnated area expansion after the completion of re-settlement.
•Stagnated rice yield at 1 t/ha.
Introduction (3)• Moz. needs an appropriate rice development
strategy.• Dominant ecosystem in Moz.
– 61% lowland wet condition, upland dry condition is minor (Balasubramaninan et al., 2007)
• Seeking an Asian-style GR with an appropriate localization effort could be a key strategy.– Controlled irrigation + modern varieties + modern
inputs (chemical fertilizer) Skepticism (Africa’s condition is different from
Asia!) • ↑But many are regional comparison. To investigate the
potential of rice, it is better to compare rice growing areas.• ↑Some anecdotal success stories are emerging
Introduction (4)
• More solid micro-level evidence is needed to design an appropriate strategy beyond mere skepticism.
• The aim of this study– Explore the potential of and constraints to a
an Asian-style lowland rice GR in Moz., using household-level data collected in the Chokwe irrigation scheme in 2007 (w/ financial support from JBIC, JSPS, IFAD).
Maputo
Chokwe
Why Chokwe ? (1)• Chokwe Irrigation Scheme
– Gravity system, managed by the state
• The most favorable area for rice cultivation.– Its potential is as high as the banks of Nile (10 t/ha)!
• Asia’s experience– GR started in the most favorable areas and then
extended to less favorable areas (David and Otsuka, 1994)
– Thus, it makes sense to explore if Chokwe has a chance to be a starting point of Moz’s rice GR.
We compare the current condition of Chokwe with those of Asia’s favorable areas in 60-70’s to conjecture about possible constraints in Chokwe. (1st step of our analysis)
Why Chokwe ? (2)• Besides, within Chokwe, we can observe
wide variation in yield, cultivation practice, and household socio-economic conditions.
• Yield: 3.8 – 0.6t/ha (top25% vs bottom 25%)• NPK use: 67 – 0 kg/ha (top25% vs bottom 25%) • Different access to irrigation water• HH size and schooling years
Statistically identify household level constraints by estimating a yield function and factor demand functions (2nd step of our analysis)
no water, a lot of weeds, low yield
Sufficient water, proper management, high yield
Two plots in Chokwe, different performance
Comparison w/ Asia: YieldCho-kwe
Laguna Philippines
Central Luzon, Philippines
Tamil Nadu*
Moz/ Asia’s 1960s
Moz/ Asia’s1970s
Year 2007 1966 1976 1967 1971 1971
Major rice varieties
MV1 TV MV1 TV MV1 MV1
Paddy Yield (t/ha)
Average 2.0 1.9 2.8 1.9 2.4 2.7 1.1 0.8
Average of Top 25%
3.8 2.7 4.2 2.7 4.5 3.7 1.4 0.9
Comparison w/ Asia: Prices
Cho-kwe
Laguna Filipinas
Época chuvosa
Luzon Central Filipinas
Época Seca
Tamil Nadu*
Moz/ Asia’s1960s
Moz/ Asia’s1970s
Year 2007 1966 1976 1967 1971 1971
Nitrogen(kg of rice/ kg of N)
7.9 3.2 3.0 2.6 2.4 2.7 2.9
Labor wage (kg of rice/day)
12.0 9.6 8.5 7.9 5.8 6.6 1.4 1.7
Comparison w/ Asia: Input Intensity
Cho-kwe
Laguna Filipinas
Época chuvosa
Luzon Central Filipinas
Época Seca
Tamil Nadu*
Moz/ Asia
Moz/ Asia
2007 1966 1976 1966 1976 1971 1960s 1970s
Nitrogen (kg/ha)
19 13 58 17 59 52 1.2 0.3
Labor (days/ha)
76 89 105 72 79 157 0.9 0.6
Prop of hired labor
36 49 71 60 43 73 0.6 0.5
Use of credit (%)
15 27
Comparison w/ Asia: Socio Economic CharacteristicsCho-kwe
Laguna Filipinas
Época chuvosa
Luzon Central Filipinas
Época Seca
Tamil Nadu*
Moz/ Asia
Moz/ Asia
2007 1966 1976 1967 1971 1971 1960s 1970s
Farm size (ha)
1.7 1.5 2.1 1.4 1.1 1.0
Household size
8.0 5.9 5.9 7.6 6.2 5.9 1.3 1.2
Schooling Years of head
3.6 4.6 4.4
Average Schooling Years
4.3 3.3 5.0
Comparison w/ Asia: Findings
• Yield is higher than Asia before GR but slightly lower than Asia during the early phase of GR. Potential exist, but slightly lagged behind
• Extremely expensive N, moderately expensive labor. Less use of these inputs
• Inaccessible credit and insufficient water could be other reasons for less intensive use of N.
• Synchronization of peak labor season and few landless may make intensive use of labor further difficult.
• On the other hand, no discernible differences in – the extent of mechanization, farm size, schooling
years, family size, age.
Determinants of rice yield (1): Approach
Yield function y=f(xc, xg, h)
Factor demand functionsxc=g(xg, z, h)
xc: inputs (choice of a farmer, endogenous, e.g. NPK)xg: inputs (given to a farmer, exogenous, e.g. irrig’n)h: HH management ability (educ and age)z: factor endowments/wealth (HH size, non-ag assets, etc)
• To the make the IV method valid, we would like to have less xc and more z.
linear yield function (no squared terms of xc) and include h only in factor dem. functions as a part of z.
Determinants of rice yield (2): Yield function
(5) IV NPK a 0.022 (2.02)** Labor a 0.008 (2.06)** Prop of hired labor a -0.386 (0.49) Use of tractor a 0.207 (0.29) Use of thresher a 1.483 (1.36) Transplanting a -0.369 (0.47) Size of cultivated area -0.126 (2.06)** Insufficient irrigation (relative freq.) -0.694 (1.81)* Downstream parcels -0.459 (1.34) Constant 1.536 (1.99)**
Determinants of rice yield (3): Factor Demand Functions (selected vars)
NPK Labor % of hired lab
Tractor Thresher
Transplanting
Cult area – + + + –
Insuf irrig’n – +
HH size – +
Sch yr +
Sch yr sq –
non-ag assets + + +
% of salary earners
+ – –
% of salary earners sq
– + +
Determinants of rice yield (3): Decomposition of yield increasing factors
Bottom
20%
Top 20%
Difference
Contribution
to yield
increase (kg)
Share of
contribution
(%)
Yield (t/ha) 0.97 3.55 2.58 NPK (kg/ha) 4.94 50.71 45.77 1.02 40 Labor (days/ha) 39.25 129.23 89.98 0.74 29 Prop of hired labor 0.26 0.39 0.13 -0.05 -2 Use of tractor (dummy) 0.38 0.71 0.34 0.07 3 Use of thresher (dummy) 0 0.23 0.23 0.34 13 Transplanting (dummy) 0.81 0.77 -0.04 0.01 1 Cultivated area (ha) 1.99 1.31 -0.68 0.08 3 Insufficient irrigation 0.36 0.03 -0.34 0.23 9 Downstream parcels (dummy) 0.38 0.09 -0.29 0.13 5 Sum of the contributions 2.58 100
14% incl. indirect impacts
Conclusion (1)• The conditions of Chokwe for embarking
on the Asian-style lowland rice GR are not as disadvantageous as those of Asia in the past, except for excessively expensive chemical fertilizer and moderately costly labor.
• These inputs are used less intensively in Chokwe, resulting in low yield.
• Inaccessibility to credit and insufficient water lower input intensity further, resulting in further low yield.
Conclusion (2)• Implications
– Improvement of irrigation management is important.
– Worth thinking strategies to improve• farmers’ credit access and • liquidity constraint (↑cash on hand)
– Introduction of improved modern varieties• Shorter maturity duration variety would relax the timing
of transplanting and thus spread out the peak season labor demand.
• Remaining issues– How to make chemical fertilizer cheaper?
Limpopo
Thank you very much