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Table 7 SFA estimates of Models 1 and 2

From: Effects of climate adaptation on technical efficiency of maize production in Northern Ghana

Variable Model 1 Model 2
Coef. Std. Err. P>z Coef. Std. Err. P>z
Output model
 Farm size 0.650*** 0.062 0.000 0.665*** 0.063 0.000
 Hired labor − 0.109*** 0.026 0.000 − 0.099*** 0.026 0.000
 Family labor 0.095** 0.045 0.035 0.106** 0.045 0.019
 Seed 0.443*** 0.055 0.000 0.451*** 0.055 0.000
 Chemical 0.189*** 0.036 0.000 0.180*** 0.035 0.000
 Fertilizer − 0.004 0.032 0.901 0.006 0.031 0.837
 Adaptation    0.195*** 0.057 0.001
 Constant 3.841*** 0.111 0.000 3.705*** 0.115 0.000
Inefficiency model
 Planting date 26.722 1094.03 0.981 26.694 1023.44 0.979
 Early maturing variety 0.578 0.596 0.332 0.281 0.73 0.7
 Drought resistant variety 0.657 0.565 0.245 0.793 0.83 0.34
 Crop rotation − 1.514** 0.705 0.032 − 4.781** 2.458 0.052
 Land rotation 0.457 0.56 0.414 0.244 0.813 0.764
 Mixed farming 0.459 0.618 0.458 0.5 0.753 0.507
 Intercropping 1.305** 0.572 0.023 1.015 0.692 0.142
 Refilling − 1.213** 0.562 0.031 − 1.913*** 0.759 0.012
 CA 1.298** 0.576 0.024 0.687 0.77 0.372
 ISFM 1.366** 0.65 0.036 1.192 0.911 0.191
 Mulching 1.195** 0.614 0.052 1.641 0.792 0.038
 Row planting − 1.489** 0.633 0.019 − 3.037*** 0.977 0.002
 IPM − 0.426 0.642 0.507 − 1.798* 1.099 0.102
 Contour farming 0.12 0.664 0.856 − 0.433 0.804 0.59
 Constant − 30.56 1094.04 0.978 − 28.92 1023.45 0.977
 sigma_v 0.592 0.018   0.593 0.018  
 RTS 1.263    1.503   
  1. *, ** and *** indicates significance at 1%, 5% and 10%, respectively