Up scaling Africa RISING Interventions using
Development domains

Tunrayo Alabi (IITA)
Africa RISING West Africa Review an...
Outline of presentation
• Concept of Development Domain
• Criteria for Development Domain
– Biophysical & Socioeconomic ch...
Concept of Development Domain
• Development domain is the spatial
representation of factors important for agric.
developme...
Farming systems
Why Development domain approach?
• Domain helps to dissect/stratify the complex
region into geographical units in which si...
Criteria for Development domains
• The following 3 criteria were used
• Agricultural Potential
• Market access
• Populatio...
Agricultural Potential
• Agricultural potential of any location is a strong
indicator of its absolute advantage in agricul...
Length of Growing period
•

LGP was used to
compute agric.
Potential

•

Defined as the no of
days in a year when
sufficie...
Agricultural Potential

Agric. potential

• High: (LGP > 180 days )
• Medium: (LGP 90-180
days
• Low :(< 90 days)
Country
...
Market access
• Critical for determining the comparative
advantage of a given location, given its
agricultural potential.
...
Market access
• Computing
market access
involves travel
time based on
landuse, roads,
places with
population >
10,000
• Hi...
Population density
• Population pressure affects
the labor intensity of
agriculture by affecting the
land/labor ratio
• In...
Development Domain
27 Domain units
produced
LLL : 30%
HLM : 11%
LLM : 10%
% Development domain WA
Domain
LLL
LLM
LLH
LMH
LMM
LHM
LML
LHL
LHH
MLM
MLH
MMH
MMM
MHH
MHM
MLL
MML
HLL
HLM
HLH
MHL
HMH
HMM...
Dev. Domain Ghana
Africa RISING Intervention sites
In Ghana are in 3 regions
Intervention sites in Ghana & Domain
25 sites in Ghana falls within 5 Dev. Domains
Region

District

site Name

Size

Doma...
HHH Domain similarity
Manguli &
Sabulungo

HHH occurrence
Country
Ghana
Nigeria
West Africa

(%)
9.8
10.4
3.2

Research re...
HLM Domain similarity
Natodori (Upper West)
Country
Ghana
Nigeria
Guinea
Cote D’voire
West Africa

(%)
27.5
8.6
49
34
10.7...
HLH Domain similarity
8 Sites in Wa West & Nadowli
Region

District

site Name

Upper West Wa West Zanko
Pase
Guo
Siriyin
...
HMH Domain similarity
Region

District

site Name

Northern
Northern
Northern

Savelugu
Savelugu
Savelugu

Tibali
Botingli...
HMM Domain similarity
Region

District

Site Name

Northern

Savelugu

Kpallung

Northern

Savelugu

Cheyohi

HMH occurren...
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Upscaling Africa RISING interventions using development domains

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Presented by Tunrayo Alabi (IITA) at the Africa RISING West Africa Review and Planning Meeting, Bamako, Mali, 3-4 February 2014

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Upscaling Africa RISING interventions using development domains

  1. 1. Up scaling Africa RISING Interventions using Development domains Tunrayo Alabi (IITA) Africa RISING West Africa Review and Planning Meeting, Bamako, Mali, 3-4 February 2014
  2. 2. Outline of presentation • Concept of Development Domain • Criteria for Development Domain – Biophysical & Socioeconomic characteristics • Domain map of West Africa • Up scaling Research Results
  3. 3. Concept of Development Domain • Development domain is the spatial representation of factors important for agric. development • Characterized using stratification criteria • Reduce complexity by prioritizing criteria based on its influence on production. • Example of simple domain – Agroecological zone – Farming systems map
  4. 4. Farming systems
  5. 5. Why Development domain approach? • Domain helps to dissect/stratify the complex region into geographical units in which similar agricultural problems or opportunities are likely to occur • Where are those geographic areas in which development problems and opportunities are likely to be most similar? • Where else can a successful tested technologies be employed. Where else can we replicate successes (up-scaling research results)
  6. 6. Criteria for Development domains • The following 3 criteria were used • Agricultural Potential • Market access • Population density
  7. 7. Agricultural Potential • Agricultural potential of any location is a strong indicator of its absolute advantage in agricultural production • the extent to which this might actually be realized or its comparative advantage is conditioned by other factors such as market access and population density (Pender et al. 1999). • It is not a static concept but changes over time in response to changing natural conditions (e.g climate change) and human-induced conditions (e.g land degradation )
  8. 8. Length of Growing period • LGP was used to compute agric. Potential • Defined as the no of days in a year when sufficient water is available in the soil profile to support plant growth It captures the complex interaction of rainfall, PET, temperature , solar radiation and soil properties. It expresses the distribution of rainfall as well as its availability for crop growth when runoff and PET has been accounted for. • •
  9. 9. Agricultural Potential Agric. potential • High: (LGP > 180 days ) • Medium: (LGP 90-180 days • Low :(< 90 days) Country Mali Niger Senegal Burkina Faso Nigeria Gambia Guinea Bissau Guinea Benin Ghana Togo Cote d'Ivoire Sierra Leone Liberia West Africa High Medium Low 3.7 20.4 76.0 0.0 3.4 96.6 2.0 74.3 23.7 13.4 75.8 10.8 54.8 37.2 8.0 0.0 99.2 0.8 53.4 46.6 0.0 98.9 1.1 0.0 68.7 31.3 0.0 99.0 1.0 0.0 94.6 5.4 0.0 100.0 0.0 0.0 99.7 0.0 0.3 100.0 0.0 0.0 34.0 21.1 44.9
  10. 10. Market access • Critical for determining the comparative advantage of a given location, given its agricultural potential. • It determines access to inputs and output outlets • e.g, a community with absolute advantage in producing perishable vegetables may have little or no comparative advantage (low profitability) in vegetable production if it is far from roads and markets.
  11. 11. Market access • Computing market access involves travel time based on landuse, roads, places with population > 10,000 • High (< 2 hours); Medium (3-8 hours); Low (> 8 hours)
  12. 12. Population density • Population pressure affects the labor intensity of agriculture by affecting the land/labor ratio • Influences innovations in technology • Markets & institutions /investments in agric • Population density is high in the coastal belt of WA • Medium are scattered all over • Low density are more in the northern belt of WA the region
  13. 13. Development Domain 27 Domain units produced LLL : 30% HLM : 11% LLM : 10%
  14. 14. % Development domain WA Domain LLL LLM LLH LMH LMM LHM LML LHL LHH MLM MLH MMH MMM MHH MHM MLL MML HLL HLM HLH MHL HMH HMM HHM HHH HML HHL Mali 47 45 21 5 8 8 64 99 3 41 28 13 18 5 6 37 2 2 5 3 0 3 3 0 0 0 0 Burkina Guinea Niger Senegal Faso Nigeria Gambia Bissau 53 0 0 0 0 0 41 5 4 4 0 0 48 10 6 15 0 0 59 6 3 25 0 0 67 6 4 14 0 0 72 3 0 17 0 0 19 4 0 13 0 0 0 0 0 1 0 0 66 5 0 25 0 0 3 19 19 10 0 2 3 21 19 22 1 2 7 8 26 43 2 1 6 5 27 40 2 2 2 10 14 66 1 0 5 5 15 66 1 0 1 16 18 4 0 1 3 9 9 74 0 3 0 0 2 19 0 1 0 0 4 14 0 2 0 1 3 15 0 1 0 5 0 81 0 1 0 0 2 35 0 0 0 0 1 34 0 0 0 0 0 55 0 0 0 0 1 58 0 0 0 0 0 29 0 0 0 0 0 55 0 0 Guinea Benin 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 6 0 4 0 0 0 0 0 0 0 0 1 22 0 0 7 5 22 5 25 8 0 0 12 3 13 3 3 4 4 4 2 3 0 3 Ghana 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 21 12 10 0 8 10 18 14 28 22 Cote Sierra West Togo d'Ivoire Leone Liberia Africa 30 0 0 0 0 10 0 0 0 0 3 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 7 0 0 0 0 3 0 0 0 0 3 0 0 0 0 3 0 0 0 0 3 1 0 0 0 2 1 0 0 0 1 0 0 0 0 0 0 0 0 0 3 1 29 1 12 11 2 20 4 8 5 3 20 4 7 0 14 0 0 0 3 5 20 9 3 4 6 20 6 3 4 4 12 3 2 3 3 9 5 2 1 9 28 1 1 1 2 14 0 4
  15. 15. Dev. Domain Ghana Africa RISING Intervention sites In Ghana are in 3 regions
  16. 16. Intervention sites in Ghana & Domain 25 sites in Ghana falls within 5 Dev. Domains Region District site Name Size Domain Northern Upper East Upper West Upper West Upper West Upper West Upper West Upper West Upper West Savelugu Kassena Wa West Wa West Wa West Wa West Nadowli Nadowli Nadowli Manguli sabulungo zanko Pase Guo Siiriyin Goli Papu Gylli small Large Small small large small medium large small HHH HHH HLH HLH HLH HLH HLH HLH HLH Upper West Upper West Northern Northern Northern Northern Northern Northern Northern Upper East Upper East Upper East Upper East Northern Northern Nadowli Nadowli Savelugu Savelugu Savelugu Savelugu Savelugu Savelugu Savelugu Kassena Kassena Kassena Kassena Savelugu Savelugu Goriyiri Natodori Tibali Botingli Duko Tiborgunayili Tingoli kpirim Gbanjon Gia Nyangua Tekuru Bonia kpallung Cheyohi No2 small large medium small Medium large large small medium Large medium Medium Large medium small HLH HLM HMH HMH HMH HMH HMH HMH HMH HMH HMH HMH HMH HMM HMM
  17. 17. HHH Domain similarity Manguli & Sabulungo HHH occurrence Country Ghana Nigeria West Africa (%) 9.8 10.4 3.2 Research results from the 2 sites represent about 3.2% of West Africa
  18. 18. HLM Domain similarity Natodori (Upper West) Country Ghana Nigeria Guinea Cote D’voire West Africa (%) 27.5 8.6 49 34 10.7 … represents about 11% of west Africa and 49 % Guinea, 34 % of Cote d’voire
  19. 19. HLH Domain similarity 8 Sites in Wa West & Nadowli Region District site Name Upper West Wa West Zanko Pase Guo Siriyin Nadowli Goli Papu Gylli HHH occurrence Goriyiri Country Ghana Nigeria Guinea Liberia West Africa (%) 10 3.8 23.3 15 4.5
  20. 20. HMH Domain similarity Region District site Name Northern Northern Northern Savelugu Savelugu Savelugu Tibali Botingli Duko Northern Northern Northern Northern Upper East Upper East Upper East Upper East Savelugu Savelugu Savelugu Savelugu Kassena Kassena Kassena Kassena Tiborgunayili Tingoli kpirim Gbanjon Gia Nyangua Tekuru Bonia HMH occurrence Country Ghana Nigeria West Africa (%) 4.4 4.9 2.6
  21. 21. HMM Domain similarity Region District Site Name Northern Savelugu Kpallung Northern Savelugu Cheyohi HMH occurrence Country Ghana Nigeria West Africa (%) 4.4 4.9 2.6

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