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Table 2 Characteristics of the sample according to adoption status

From: Predictors of inoculant-based technology adoption by smallholder soybean farmers in northern Ghana: implications for soil fertility management

Variable

Adopters

n = 86

Non-adopters

n = 114

Mean difference/chi-square

Mean

S. D

Freq

%

Mean

S. D

Freq

%

Farmer/household factors

 Sex

57

66.28

67

58.77

1.17a

 Age

38.81

11.14

37.61

10.24

1.209

 Educational status

12

13.95

17

14.91

0.04a

 Household size

13.22

6.338

12.27

5.941

0.949

 Herd ownership

  

44

51.16

  

59

51.75

0.007

Farm-level factors

Degree of specialization

0.356

0.228

0.403

0.249

−0.047

Soil fertility status

27

31.40

31

27.19

0.42a

Input variables

 Cost of ploughing

103.8

56.76

110.5

54.79

6.747

 Fertilizer dummy

38

44.19

71

62.28

6.47a**

 Pesticides & herbicides

2.012

0.804

  

1.421

0.677

  

0.590

Institutional factors

 Off-farm employment

25

29.07

35

30.70

0.06a

 Extension visits

60

69.77

41

35.96

22.41a***

 Member of farmer group

45

52.33

24

21.05

21.22a***

 Access to credit

  

22

25.58

  

18

15.79

2.938*

 Distance to market

2.575

1.246

3.174

1.435

0.598***

  1. **p < 0.05, ***p < 0.001; a = chi-square value. Frequencies if dummy variable is 1 as in Table 1