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An Economic Assessment of Banana Genetic Improvement and ...

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160 CHAPTER 11<br />

sumption <strong>and</strong> income from local sales. The<br />

baseline data indicate that direct exposure<br />

to new varieties through formal programs is<br />

no longer a critical determinant <strong>of</strong> their use<br />

in Tanzania, evidence once again that farmer-to-farmer<br />

exchange <strong>of</strong> planting materials<br />

is crucial. The econometric model confirms<br />

this result. Heterogeneity among households<br />

in terms <strong>of</strong> social, demographic, or wealth<br />

characteristics appears to have less importance<br />

in use decisions than does the incidence<br />

<strong>of</strong> pests <strong>and</strong> disease—which motivates<br />

farmers’ search for new materials in<br />

this production system.<br />

Third, it is evident that social capital<br />

plays a significant role in the use <strong>of</strong> current<br />

best practice for managing soil fertility in<br />

banana production in Ug<strong>and</strong>a. Most <strong>of</strong> the<br />

villages in the banana producing areas foster<br />

active social organization, with numerous<br />

associations <strong>and</strong> high rates <strong>of</strong> membership,<br />

although membership in economic<br />

associations is more exclusive. Village social<br />

characteristics will likely have especially<br />

important implications for planting<br />

material systems for EAHBs, because transfers<br />

<strong>of</strong> planting material <strong>and</strong> related information<br />

are based on farmers themselves<br />

rather than on a formal seed industry.<br />

The productivity <strong>of</strong> cooking bananas<br />

<strong>and</strong> the factors that determine it depend on<br />

the economic, climate, <strong>and</strong> soil characteristics<br />

<strong>of</strong> regions, <strong>and</strong> as hypothesized, it is<br />

highest in the southwest, least in Central<br />

Region, <strong>and</strong> intermediate in Masaka. There<br />

is some evidence that the efficiency <strong>of</strong> banana<br />

production can be improved, particularly<br />

in Central Region. Labor productivity<br />

is higher in Central Region, where most<br />

agronomic practices (such as crop sanitation)<br />

are carried out minimally. Soil pH <strong>and</strong><br />

the application <strong>of</strong> manure as recommended<br />

have positive <strong>and</strong> significant effects on productivity,<br />

especially in the southwest <strong>and</strong><br />

Central Region <strong>of</strong> Ug<strong>and</strong>a. The critical importance<br />

<strong>of</strong> labor is evident in findings regarding<br />

the age <strong>of</strong> the household head <strong>and</strong><br />

family size. Road infrastructure <strong>and</strong> production<br />

credit will enhance efficiency.<br />

Findings illustrate substantial inefficiencies<br />

in the production <strong>of</strong> cooking bananas,<br />

especially in central Ug<strong>and</strong>a. Education improves<br />

technical efficiency in the southwest<br />

but not in central Ug<strong>and</strong>a. Market access<br />

(using distance to paved roads as a proxy)<br />

improves efficiency for the sample farmers<br />

in Masaka <strong>and</strong> southwest but not in the Central<br />

Region, where opportunity costs <strong>of</strong><br />

labor are higher. Household size is positively<br />

related to efficiency but is only significant<br />

for central Ug<strong>and</strong>a. <strong>Banana</strong> production<br />

appears to be more efficient when<br />

managed by men than by women, probably<br />

due to underlying differentials in access to<br />

resources. Access to credit increases efficiency<br />

in the Central Region, whereas rent<br />

<strong>and</strong> remittances improve efficiency in Masaka<br />

<strong>and</strong> the southwest.<br />

Policies to improve production efficiency<br />

include investments in education,<br />

extension, <strong>and</strong> infrastructure (roads), <strong>and</strong><br />

improving access to production credit for<br />

commercially oriented producers in the<br />

southwest <strong>and</strong> Masaka areas. Clearly, policies<br />

will need to be tailored to the local<br />

conditions, as demonstrated by the different<br />

production <strong>and</strong> efficiency pr<strong>of</strong>iles <strong>of</strong> the<br />

three regions analyzed here.<br />

The analysis <strong>of</strong> banana production efficiency<br />

reveals the presence <strong>of</strong> surplus<br />

labor in the highl<strong>and</strong>s, whereas access to<br />

farm labor is a constraint in the lowl<strong>and</strong>s.<br />

Wages are higher for casual labor in the<br />

lowl<strong>and</strong>s, where there is a more developed<br />

market for unskilled labor. Investment in<br />

technology development could raise banana<br />

productivity in the highl<strong>and</strong>s. In the<br />

lowl<strong>and</strong>s, both technology development<br />

<strong>and</strong> extension education have positive effects<br />

on productivity. Investment in human<br />

capital (especially women’s education) <strong>and</strong><br />

enabling better access to input <strong>and</strong> credit<br />

markets could improve banana production;<br />

investments in the paved road network<br />

would improve the comparative advantage<br />

<strong>of</strong> the region in banana production. Intercropping<br />

bananas could be interfering with<br />

the implementation <strong>of</strong> certain practices

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