An Economic Assessment of Banana Genetic Improvement and ...

TABLES
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6.5 Characteristics of households with high predicted demand for the potential
host cultivar Nakitembe, before and after effective insertion of resistance
to black Sigatoka and weevils, with supporting public investments 86
7.1 Results of the likelihood ratio test for the null hypothesis that the coefficients
on the two management decisions are equal 92
7.2 Definition of variables, hypothesized effects, and the summary statistics 96
7.3 Factors influencing the probability and extent of use of soil fertility
management practices 100
8.1 Variable definitions and summary statistics for cooking bananas, productivity
and technical efficiency analysis 116
8.2 Results of the frontier function 117
8.3 Cobb-Douglas production estimates for the overall sample (location dummies
excluded) 119
8.4 Production elasticities 120
8.5 Test for the null hypothesis that σ u = 0 120
8.6 Factors influencing technical efficiency 121
8.7 Incorporating soil factors in the production frontier function (n = 154) 123
8A.1 Labor demand estimates (first stage of the production function estimation) 124
8A.2 Two-stage least squares estimates of the production function for cooking
bananas (endogeneity test) 125
8A.3 Production function estimates, three-stage least squares estimate 126
9.1 Five-year average areas under crop production by district in Kagera Region,
1996/97–2000/01 (ha) 131
9.2 Summary statistics and hypothesized effects of variables used in the analysis 134
9.3 Coefficient estimates for the treatment effects model 136
9.4 Mean comparisons between likely nonadopters and adopters in exposed areas 138
9.5 Mean vulnerability comparisons between farmers in exposed and nonexposed
areas (percent) 139
10.1 Ugandan cooking banana production, by production system, 2000 142
10.2 Estimated yield losses caused by priority banana production constraints in
each of the six production systems 143
10.3 Annualized banana production costs and returns in each of the six production
systems 145
10.4 Predominant management practices, by production system category 146
10.5 Targeting of technologies relevant to industry-scale scenarios 146
10.6 Definition of technology scenarios and selected research parameters 147