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Table 4 The maximum likelihood estimation of the binary logit model

From: Factors affecting adoption of upland rice in Tselemti district, northern Ethiopia

No.

Variable

B value

SE

Wald

Sig.

Odds ratio

1

Age of the household head

0.035

0.027

1.632

0.201

1.035

2

Sex of the household head

− 0.513

1.029

0.249

0.618

0.599

3

Level of education

0.814

0.333

5.980

0.014**

2.256

4

Farm size

0.166

0.602

0.076

0.783

1.181

5

Livestock holding

0.032

0.069

0.211

0.646

1.032

6

Perception on rice yield

2.468

0.750

10.822

0.001***

11.797

7

Off-farm income

1.113

0.643

2.997

0.083*

3.044

8

Access to credit

0.981

0.515

3.627

0.057*

2.666

9

Market distance

− 0.084

0.050

2.838

0.092*

0.919

10

Contact with extension agent

0.407

1.313

0.096

0.757

1.502

11

Participation on field days

1.755

0.585

8.996

0.003***

5.784

12

Participation on training

1.287

0.569

5.127

0.024**

3.624

13

Annual farm income

0.000

0.0001

1.580

0.209

1.000

14

Labor availability

0.087

0.201

0.189

0.664

1.091

15

Constant

− 8.035

2.397

11.239

0.001***

0.000

χ2 value

 

100.541***

   

− 2 log likelihood

 

102.873

   

Overall model predictions

 

88%

   
  1. ***, ** and * significant at 1%, 5% and 10% significant level, respectively