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An Economic Assessment of Banana Genetic Improvement and ...

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SOCIAL CAPITAL AND SOIL FERTILITY MANAGEMENT IN UGANDA 99<br />

operation <strong>and</strong> willingness to share information<br />

by encouraging networking (Barr 2000;<br />

Isham 2000; Yli Renko, Autio, <strong>and</strong> Tontti<br />

2002). Social capital variables included here<br />

are household density <strong>of</strong> membership in associations,<br />

norms <strong>of</strong> decisionmaking, <strong>and</strong><br />

leader heterogeneity in associations. Household<br />

membership density is defined as the<br />

number <strong>of</strong> household members that belong<br />

to at least one association. Household<br />

membership density reflects the household’s<br />

capacity to acquire information from the<br />

social network. However, the number <strong>of</strong><br />

household members that join an association<br />

can also influence the opportunity cost <strong>of</strong><br />

time used in banana production. Hence<br />

the nature <strong>of</strong> effect cannot be determined<br />

a priori.<br />

Norms <strong>of</strong> decisionmaking <strong>and</strong> heterogeneity<br />

<strong>of</strong> leaders (in terms <strong>of</strong> livelihood<br />

<strong>and</strong> education) in associations were used as<br />

proxies for characteristics <strong>of</strong> associations.<br />

These proxies measure the group’s ability<br />

to cooperate, share information, <strong>and</strong> network<br />

with other people beyond the village<br />

community.<br />

Both norms <strong>of</strong> decisionmaking <strong>and</strong><br />

leader heterogeneity are constructed at the<br />

village level. Norms <strong>of</strong> decisionmaking are<br />

defined as the degree to which members in<br />

an association participate in important issues<br />

<strong>of</strong> the association, computed as an additive<br />

index from responses to two questions<br />

regarding selection <strong>of</strong> leaders <strong>and</strong> decisionmaking<br />

<strong>of</strong> the associations. Respondents<br />

were asked about how important decisions<br />

are made. Responses were: 1 (only leaders<br />

participate), 2 (few members participate),<br />

<strong>and</strong> 3 (all members participate). They were<br />

also asked about how the leaders <strong>of</strong> each<br />

association to which they belong are selected.<br />

The responses were: 1 (by outside<br />

agents), 2 (each leader chooses a successor),<br />

3 (by small groups <strong>of</strong> members), <strong>and</strong> 4 (by<br />

all members). The village index was computed<br />

by averaging over the number <strong>of</strong> responses<br />

in the village.<br />

Leader heterogeneity is defined as the<br />

degree to which leaders in associations<br />

within a village differ from the rest <strong>of</strong> the<br />

people, computed as an additive index from<br />

responses to two questions concerning the<br />

wealth <strong>and</strong> educational status <strong>of</strong> each association<br />

leader. The responses were coded as:<br />

1 (lower status than most members), 2<br />

(same as most members), <strong>and</strong> 3 (higher than<br />

most members). The village index was computed<br />

by averaging over the number <strong>of</strong> responses<br />

in the village.<br />

Results<br />

Two sets <strong>of</strong> regressions results are presented<br />

in Table 7.3. The first set <strong>of</strong> regressions<br />

(probit models) estimate the effect <strong>of</strong> hypothesized<br />

factors on the decision to use or<br />

not to use mulch or manure. The second set<br />

<strong>of</strong> regressions predicts effect <strong>of</strong> the same<br />

hypothesized factors on the conditional dem<strong>and</strong><br />

for mulch <strong>and</strong> manure technologies<br />

while correcting for selection bias. here> 7.3near

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