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An Economic Assessment of Banana Genetic Improvement and ...

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here> 1near 5.<br />

CHAPTER 5<br />

Characteristics <strong>of</strong> <strong>Banana</strong>-Growing<br />

Households <strong>and</strong> <strong>Banana</strong> Cultivars<br />

in Ug<strong>and</strong>a <strong>and</strong> Tanzania<br />

Svetlana Edmeades, Melinda Smale, Enoch Mutebi Kikulwe,<br />

Jackson M. Nkuba, <strong>and</strong> Mgenzi Said Ramadhan Byabachwezi<br />

A<br />

first stage <strong>of</strong> data analysis confirmed few statistical differences between exposed <strong>and</strong><br />

nonexposed areas in the underlying social <strong>and</strong> demographic characteristics <strong>of</strong> households<br />

<strong>and</strong> the physical characteristics <strong>of</strong> their farms. This result validates the sample<br />

design (Chapter 2). In this chapter, selected characteristics <strong>of</strong> banana-growing households in<br />

Ug<strong>and</strong>a <strong>and</strong> Tanzania are analyzed by elevation, <strong>and</strong> uses <strong>of</strong> new banana cultivars, practices,<br />

<strong>and</strong> planting material systems are summarized by exposure <strong>and</strong> elevation. 1 In general, means,<br />

frequencies, or proportions only are reported here, weighted by the inverse probability <strong>of</strong><br />

selection.<br />

<strong>Banana</strong>-Growing Households<br />

Household demographic characteristics in the Lake Victoria region <strong>of</strong> Ug<strong>and</strong>a <strong>and</strong> Tanzania<br />

are shown in Table 5.1. Household heads averaged 45 years <strong>of</strong> age with roughly 6 years <strong>of</strong> education<br />

in Ug<strong>and</strong>a, <strong>and</strong> 49 years <strong>of</strong> age with 7 years <strong>of</strong> education in Tanzania. Though the age<br />

<strong>of</strong> the household head <strong>and</strong> mean years in school are statistically different between the highl<strong>and</strong><br />

<strong>and</strong> lowl<strong>and</strong> areas <strong>of</strong> Ug<strong>and</strong>a, the magnitudes <strong>of</strong> the differences are not meaningful. Roughly<br />

a quarter <strong>of</strong> household heads are reported to be women, with a smaller percentage in highelevation<br />

areas in Ug<strong>and</strong>a, <strong>and</strong> a comparable pattern in Tanzania. In Tanzania, gender <strong>of</strong> the<br />

household head is the only major demographic characteristic that differs statistically by elevation.<br />

Clearly, longer-term absence <strong>of</strong> men is more prevalent in the lowl<strong>and</strong> areas.

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