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An Economic Assessment of Banana Genetic Improvement and ...

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BANANA PRODUCTIVITY AND TECHNICAL EFFICIENCY IN UGANDA 117<br />

Table 8.2 Results <strong>of</strong> the frontier function<br />

Overall sample Low elevation High elevation<br />

Variable Eq1 Eq2 Eq3 Eq1 Eq2 Eq3 Eq1 Eq2 Eq3<br />

N 512 512 512 374 374 374 138 138 138<br />

Constant 5.79***<br />

(18.99)<br />

ln(A) 0.332***<br />

(8.04)<br />

ln(L) 0.384***<br />

(8.87)<br />

5.158***<br />

(13.73)<br />

0.207***<br />

(3.44)<br />

0.489***<br />

(8.64)<br />

4.262***<br />

(5.27)<br />

–0.211<br />

(–0.77)<br />

0.864***<br />

(3.49)<br />

ln(A) 2 –0.065**<br />

(–2.47)<br />

ln(L) 2 –0.038*<br />

(–1.85)<br />

ln(L) × ln(A) 0.065***<br />

L/A –0.0001***<br />

M 3 × 10 –5 *<br />

(1.84)<br />

G 1 × 10 –5<br />

(0.47)<br />

C 2 × 10 –5<br />

(1.15)<br />

farm size 0.008*<br />

(1.68)<br />

Ext 0.026<br />

(1.2)<br />

plotage 0.017***<br />

(3.2)<br />

plotage 2 –0.0001<br />

(–1.56)<br />

Sigatoka –0.21<br />

(–1.59)<br />

weevils –0.035<br />

(–0.34)<br />

High elevation 0.54***<br />

(5.12)<br />

(–2.82)<br />

3 × 10 –5 *<br />

(1.86)<br />

1 × 10 –5<br />

(0.48)<br />

2 × 10 –5<br />

(1.14)<br />

0.008*<br />

(1.70)<br />

0.024<br />

(1.14)<br />

0.017***<br />

(3.21)<br />

–9 × 10 –5<br />

(1.54)<br />

–0.204<br />

(–1.56)<br />

–0.063<br />

(–0.60)<br />

0.52***<br />

(4.98)<br />

(1.71)<br />

3 × 10 –5 **<br />

(1.99)<br />

2 × 10 –5<br />

(0.75)<br />

3 × 10 –5<br />

(1.38)<br />

0.01*<br />

(1.95)<br />

0.025<br />

(1.18)<br />

0.018***<br />

(3.38)<br />

–9 × 10 –5 *<br />

(–1.66)<br />

–0.214<br />

(–1.64)<br />

–0.088<br />

(–0.83)<br />

0.523***<br />

(5.23)<br />

5.694***<br />

(15.75)<br />

0.332***<br />

(6.45)<br />

0.395***<br />

(7.87)<br />

8 × 10 –5 **<br />

(2.00)<br />

–1 × 10 –5<br />

(–0.16)<br />

2 × 10 –5<br />

(0.40)<br />

0.002<br />

(0.36)<br />

–0.009<br />

(–0.35)<br />

0.028***<br />

(3.00)<br />

–0.0003**<br />

(–2.03)<br />

–0.183<br />

(–1.18)<br />

0.049<br />

(0.36)<br />

5.064***<br />

(11.32)<br />

0.206***<br />

(2.81)<br />

0.5***<br />

(7.55)<br />

–7 × 10 –5 **<br />

(–2.39)<br />

8 × 10 –5 **<br />

(2.08)<br />

–1 × 10 –5<br />

(–0.2)<br />

1 × 10 –5<br />

(0.3)<br />

0.002<br />

(0.36)<br />

–0.01<br />

(–0.36)<br />

0.027***<br />

(2.82)<br />

–0.0002*<br />

(–1.71)<br />

–0.167<br />

(–1.08)<br />

0.012<br />

(0.09)<br />

4.279***<br />

(4.45)<br />

–0.233<br />

(–0.68)<br />

0.812***<br />

(2.69)<br />

–0.064*<br />

(–1.93)<br />

–0.031<br />

(–1.19)<br />

0.069<br />

(1.45)<br />

8 × 10 –5 **<br />

(2.06)<br />

–1 × 10 –5<br />

(–0.17)<br />

2 × 10 –5<br />

(0.42)<br />

0.003<br />

(0.55)<br />

–0.01<br />

(–0.38)<br />

0.028***<br />

(2.87)<br />

–0.002*<br />

(1.69)<br />

–0.17<br />

(–1.09)<br />

–0.0009<br />

(–0.01)<br />

6.637***<br />

(14.52)<br />

0.264***<br />

(5.79)<br />

0.282***<br />

(4.24)<br />

2 × 10 –5<br />

(2.77)<br />

2 × 10 –6 *<br />

(1.66)<br />

3 × 10 –5 **<br />

(2.58)<br />

0.014**<br />

(2.21)<br />

0.134***<br />

(4.83)<br />

0.0153***<br />

(3.68)<br />

–7 × 10 –5 **<br />

(–1.77)<br />

–0.737<br />

(–1.59)<br />

–0.161<br />

(–1.53)<br />

6.259***<br />

(9.68)<br />

0.199**<br />

(2.19)<br />

0.343***<br />

(3.43)<br />

–3 × 10 –5<br />

(–0.82)<br />

2 × 10 –5 ***<br />

(2.82)<br />

2 × 10 –5 *<br />

(1.74)<br />

3 × 10 –5 ***<br />

(2.6)<br />

0.014**<br />

(2.22)<br />

0.135***<br />

(4.82)<br />

0.0148***<br />

(3.55)<br />

–7 × 10 –5 *<br />

(–1.72)<br />

–0.742<br />

(1.6)<br />

3.526<br />

(0.78)<br />

0.065<br />

(0.10)<br />

1.189<br />

(0.93)<br />

–0.096**<br />

(–2.06)<br />

–0.065<br />

(–0.72)<br />

0.013<br />

(0.13)<br />

2 × 10 –5 ***<br />

(3.18)<br />

3 × 10 –5 **<br />

(2.26)<br />

3 × 10 –5 ***<br />

Log likelihood –624.9 –621.2 –620.6 –500.1 –497.4 –497.7 –51.4 –51.1 –48.2<br />

TE 0.475 0.478 0.474 0.437 0.442 0.44 0.705 0.703 0.706<br />

–0.153<br />

(1.46)<br />

(3.00)<br />

0.016***<br />

(2.61)<br />

0.134***<br />

(4.68)<br />

0.016***<br />

(3.79)<br />

–0.0001*<br />

(–1.86)<br />

–0.744<br />

(–1.61)<br />

–0.172*<br />

Notes: ***, **, * indicate statistical significance at the 1, 5, <strong>and</strong> 10 percent levels, respectively. Eq1 is the Cobb-Douglas technology, Eq2<br />

is the transcendental production function, <strong>and</strong> Eq3 the transcendental logarithmic function (translog). See Table 8.1 for definitions <strong>of</strong> the<br />

variables.<br />

(–1.68)

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