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GHANA DATA
Tomas Morley
Data
• Economic growth Centre (EGC) Yale
• Institute of Statistical, Social and Economic
Research (ISSER), University of Ghana
• Study design?
– Not much to go on, but a good relationship with
the group at EGC ( very friendly)
Sample
# of households 5009
# of producing households 2589
# of plots 4964
# of maize farmers 1386
# of maize plots 1565
Data good
• Crop management variables
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Fallow
Wetness
Soil depth
Soil colour
Soil type
Hours for drainage
Water
Tractor
Seeds (names of seed (MoFA, NGO, GM etc etc)
Data good 2
• More specific on some questions such as labour and
crop loss (men, children, women/ permanent/family)
• More precise about whether a crop on a particular plot
had fertilizer. I.e. fertilizer use is at the crop level not
the plot level (Tanzania)
• Specific on household assets
• Crop loss
• Where fertilizer came from
• Covers two seasons, minor and major season
• Transport data
Data good 3
• Crop storage
– How it was stored
– Was it treated by chemicals?
– What percent of crop was lost in storage?
– Was it lost to monkeys?
Percentage of farmers growing maize by district
Percentage of farmers using Inorganic fertilizer
Percentage of plots using Inorganic fertilizer
Number of crops grown per plot per district on average
National and regional averages
Maize output per plot
% plots with fert
% households
with fert
National
827.8238 (1565)
28.33 (2492)
39.8 (1294)
Brong Ahafo
910.4770 (149)
5.36 (317)
9.30 (172)
Northern
1071.1850 (414)
30.91 (634)
61.10 (239)
Ashanti
1086.0306 (220)
20.24 (410)
23.21 (224)
Central
550.6690 (97)
19.39 (98)
26.56 (64)
Eastern
558.5296 (235)
36.15 (343)
43.98 (191)
Greater Accr
329.6358 (29)
65.63 (32)
73.91 (23)
Upper East
821.5830 (73)
51.76 (199)
73.58 (106
Upper West
795.2742 (116)
14.71 (102)
25.93 (54)
Volta
552.8887 (190)
21.57 (102)
26.32 (76)
Western
618.5933 (42)
41.57 (255)
48.97 (145)
Nkoranza region
Crop management: tractors and child labour
• Child labour
• Tractors
• Seeds
Crop management: seeds
Crop management: seeds
Crop management: seeds
Data bad
• Areas - Piling effect!!
Data bad 2
– Certainly not GPS!
– Don’t know how much of the plot was what crop
• Conversions – pain in the neck
• Don’t know what kind of fertilizer (but question
was asked)
• GPS missing (soon to be sorted) – district
problem, blank map spaces
• Intercropping?
• No seed application rate