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The Future of Smallholder Farming in Eastern Africa - Uganda ...

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especially when considered on an ad hoc basis. If the livestock values were decomposed on<br />

an annual basis, it might provide evidence that crop values are still higher.<br />

<strong>The</strong> mean distance <strong>of</strong> various plots from the households (DISTH) measures 357<br />

meters <strong>in</strong> Machakos, compared with 2,066 meters <strong>in</strong> Taita-Taveta, and these mean distances<br />

are significantly different. This could be because farm sizes are relatively bigger <strong>in</strong> Taita-<br />

Taveta (approximately 2.5 acres) than <strong>in</strong> Machakos (approximately 2.0 acres). <strong>The</strong> mean<br />

farm sizes are also significantly different. <strong>The</strong> average farm size <strong>of</strong> 2.0 to 2.5 acres compares<br />

unfavorably to that <strong>of</strong> a sample from several districts <strong>in</strong> the high-potential agricultural areas<br />

<strong>of</strong> Kenya (Jayne et al. 1998), and yet the study sites are located <strong>in</strong> marg<strong>in</strong>al areas. S<strong>in</strong>ce the<br />

household sizes are more or less similar, while the mean farm sizes are significantly different<br />

at the two sites, it follows, therefore, that the mean per capita farm size (FARMCA) is<br />

significantly different. <strong>The</strong> mean values <strong>of</strong> FARMCA <strong>in</strong>dicate that Machakos is more densely<br />

populated than Taita-Taveta.<br />

<strong>The</strong> mean terrace length (TERRACE) <strong>in</strong> Machakos is significantly higher than <strong>in</strong><br />

Taita-Taveta. This could be for several reasons: First, soil conservation campaigns have been<br />

more susta<strong>in</strong>ed and <strong>in</strong>tense <strong>in</strong> Machakos than <strong>in</strong> Taita-Taveta. Second, the higher <strong>in</strong>come<br />

status could have provided an impetus to <strong>in</strong>vest more <strong>in</strong> terrac<strong>in</strong>g. Conversely, it can also be<br />

argued that terrac<strong>in</strong>g, and hence soil conservation, has enabled farmers <strong>in</strong> Machakos to<br />

improve their <strong>in</strong>comes from agriculture.<br />

<strong>The</strong> mean household size (HHS) <strong>in</strong> both sites is six members. <strong>The</strong> use <strong>of</strong> manure and<br />

fertilizer to condition the soil and the <strong>in</strong>tensity <strong>of</strong> use is varied, and the mean values are<br />

significantly different. For example, while farmers <strong>in</strong> Machakos use fertilizer (FERTUSE) at<br />

a mean rate <strong>of</strong> 45 kilograms per acre, those <strong>in</strong> Taita-Taveta use none. To f<strong>in</strong>d an area <strong>in</strong><br />

Kenya where fertilizer use <strong>in</strong> crop production is zero or near zero is surpris<strong>in</strong>g. Even where<br />

livestock are present, the <strong>in</strong>tensity <strong>of</strong> manure use <strong>in</strong> Taita-Taveta, about 480 kilograms per<br />

acre is only a third <strong>of</strong> that used <strong>in</strong> Machakos (1,160 kilograms per acre. <strong>The</strong> fertilizer and<br />

manure use <strong>in</strong>tensity <strong>in</strong> Machakos is on average comparable to other areas <strong>in</strong> the highpotential<br />

agricultural regions <strong>of</strong> Kenya (Obare 2000) and <strong>in</strong> the rest <strong>of</strong> Kenya (KARI 1998;<br />

M<strong>in</strong>istry <strong>of</strong> Agriculture 1989).<br />

<strong>The</strong> mean value <strong>of</strong> wealth <strong>in</strong>dex (WEALTH), farm slope <strong>in</strong>dex (SLOPE), education<br />

level <strong>of</strong> the household head (EDUC), and the land tenure system (TENURE) are not<br />

significantly different between the two sites. Although these variables are likely to have an<br />

effect on soil conservation, it would be difficult to <strong>in</strong>dicate the direction <strong>of</strong> this effect <strong>in</strong> the<br />

two sites.<br />

5.1. Household perceptions <strong>of</strong> soil erosion problems <strong>in</strong> marg<strong>in</strong>al areas<br />

For an <strong>in</strong>dividual to make a decision on whether or not to commit resources to mitigate the<br />

effects <strong>of</strong> a given problem, that person must first appreciate the existence <strong>of</strong> such a problem.<br />

And the same <strong>in</strong>dividual must then evaluate the severity <strong>of</strong> the problem and rank it<br />

accord<strong>in</strong>gly. In the two study sites, we we presume that the residents recognize that there is a<br />

soil erosion problem. Table 5.2 shows the factors that <strong>in</strong>fluence the perception <strong>of</strong> a soil<br />

erosion problem <strong>in</strong> farmers’ fields. Five variables are significant for the comb<strong>in</strong>ed data set:<br />

distance to the crop fields from the homestead, wealth, age <strong>of</strong> household head, household<br />

size, and cognitive social capital. <strong>The</strong> slope variable is only positive and significant for<br />

Machakos District. This may be l<strong>in</strong>ked to higher education and extension levels <strong>in</strong> Machakos,<br />

compared with Taita-Taveta. In any case, the higher the slope category <strong>in</strong> Machakos, the<br />

higher the probability that a farm household will recognize that they have a soil erosion<br />

problem. <strong>The</strong> comb<strong>in</strong>ed data set even has an unexpected sign, which perhaps stems from the

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