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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