Soil Fertility, Fertilizer, and the Maize Green Revolution in East Africa Tomoya Matsumoto and Takashi Yamano (FASID/GRIPS) - PowerPoint PPT Presentation

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Soil Fertility, Fertilizer, and the Maize Green Revolution in East Africa Tomoya Matsumoto and Takashi Yamano (FASID/GRIPS)

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Title: Soil Fertility, Fertilizer, and the Maize Green Revolution in East Africa Tomoya Matsumoto and Takashi Yamano (FASID/GRIPS)


1
Soil Fertility, Fertilizer, and the Maize Green
Revolution in East Africa Tomoya Matsumoto
and Takashi Yamano(FASID/GRIPS)
2
Contents
  • Introduction
  • Maize and Fertilizer Use in Kenya and Uganda
  • Data and Descriptive Analysis
  • Data
  • Dairy Production Systems and Organic Fertilizer
    Use
  • Maize Costs, Income, and Profit
  • Estimation Results
  • Determinants of Fertilizer Use
  • Determinants of Maize Yield
  • Conclusions

3
Introduction
  • There is a growing interests in realizing an
    African Green Revolution.
  • Kenya and Uganda provide an interesting contrast
    in maize production Kenya high inputs, Uganda
    low inputs.
  • In this study, we compare maize production in
    these countries to identify constraints on maize
    production

4
Purpose of This Study
  • To describe fertilizer use and maize production,
    by calculating costs, income, and profit in Kenya
    and Uganda
  • To Estimate the determinants of the maize yield,
    including soil fertility, inorganic and organic
    fertilizer applications.
  • Is it profitable to use fertilizer?

5
Maize in Kenya and Uganda
6
Nitrogen Consumption in Kenya and Uganda
7
Data
  • RePEAT Panel data
  • Kenya 2004 and 2007, 725 rural households
  • Uganda 2003 and 2005, 895 households
  • Soil Sampling at the first survey
  • Kenya about 77 percent
  • Uganda about 67 percent

8
Survey Areas
9
Table 1. Summary Statistics in Kenya
All Purchased HYV Maize Local/ Recycled Maize HYV Difference
Number of Plots 3,131 (100) 1,848 (59.0) 1,283 (41.0)
Maize Yield (kg/ha) 1,986 2,172 1,718 454
Inorganic Fertilizer Use (kg/ha) 94.7 119.4 59.2 60.2
Organic Fertilizer Used (kg/ha) 1,935 2,258 1,471 787
Carbon Content () 2.48 2.59 2.33 0.26
10
Table 1. Summary Statistics in Uganda
All Purchased HYV Maize Local/ Recycled Maize HYV Difference
Number of Plots 3,198 (100) 680 (21.3) 2,518 (78.7)
Maize Yield (kg/ha) 1,561 1,719 1,518 202
Inorganic Fertilizer Use (kg/ha) 2.4 9.1 0.6 8.5
Organic Fertilizer Used (kg/ha) 86 142 71 71
Carbon Content () 2.35 2.15 2.40 -0.25
11
  • Soil Nutrient Indicator
  • N soil nutrient indicator, E soil condition,
  • C inorganic fertilizer, O organic fertilizer
  • Maize Yield Function
  • L plot size, S seed quantity, A TFP

12
  • We control for the household fixed effects to
    eliminate biases created by the correlation
    between the household fixed effects and
    independent variables.
  • We apply the endogenous switching model to
    control for the maize seed type selection.

13
  • Main Hypotheses
  • Does the soil fertility increase returns from
    external fertilizer applications?
  • Is the inorganic fertilizer application optimal?

14
Maize Yield
Fertilizer Price
Maize Price
Kenya
Uganda
Fertilizer Application (DAP)
15
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16
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17
Main Findings
  • We do not find that the returns from external
    fertilizer depend on the soil fertility.
  • This suggests that the external fertilizer
    applications would be useful even on poor soils
    in Uganda and Kenya.
  • The soil carbon content has a large impact on the
    maize yield.
  • The inorganic fertilizer use in Kenya is at about
    the optimal application rate.

18
Policy Implications
  • To increase the inorganic fertilizer use. We need
    to reduce the fertilizermaize relative price.
  • Because we find a large positive impact of the
    carbon content, the results suggest that it is
    important to improve the soil fertility.
  • To do so, the organic fertilizer use has to
    increase. This is a new area for future research.

19
Whats next for RePEAT Survey?
  • In Uganda
  • Experiments in Jan-Feb 2009, providing a package
    of HYV seeds, fertilizer, and extension to
    households in randomly selected villages of
    RePEAT Samples
  • Conduct a survey in 2010 to evaluate the
    impacts
  • In Kenya
  • Experiments in 2010 on crop insurance?
  • Conduct a survey in 2011
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