Skip to main content

Table 1 Description and summary statistics of variables used in this study

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

Variable

Description/measurement

Mean

S. D

Freq

%

Dependent variables

     

Inoculant adoption (L)

Equals 1 for adopters, 0 otherwise

–

–

86

0.43

Intensity of adoption (y)

Expenditure per hectare on inoculants in Ghana cedi

19.87

24.91

–

–

Farmer/household factors

     

Sex (SEX)

1 if male, 0 otherwise

–

–

124

62.0

Age (AGE)

Age of farmer in years

38.13

10.63

–

–

Educational status (EDUC)

1 if formally educated, 0 otherwise

–

–

29

14.5

Household size (HHS)

Number of household members

12.68

6.118

–

–

Herd ownership (HERD)

Equals 1 if yes, 0 otherwise

–

–

97

48.5

Farm-level characteristics

     

Degree of specialization (DSP)

Proportion of land allocated to soybean

0.383

0.240

–

–

Soil fertility status (SF)

Equals 1 if fertile, 0 otherwise

–

–

58

29.0

Input variables

     

Cost of ploughing (PCOST)

Cost of tractor ploughing in Ghana cedi

107.6

55.60

–

–

Fertilizer dummy (FERT)

1 for fertilizer adoption, 0 otherwise

–

–

109

54.5

Pesticide and herbicide (PEST)

Quantity of pesticides and herbicides in litres

1.675

0.789

–

–

Institutional factors

     

Off-farm employment (OFW)

Equals 1 for participants, 0 otherwise

–

–

60

30.0

Extension visits (EXT)

Equals 1 if farmer was visited, 0 otherwise

–

–

101

50.5

Farmer group member (FBO)

Equals 1 if member, 0 otherwise

–

–

69

34.5

Access to credit (CRE)

1 for access, 0 otherwise

–

–

40

20

Distance to market (DIST)

Distance to market in kilometres

2.916

1.386

–

–

  1. Frequencies if dummy variable is 1. GH¢ means Ghana cedi; GH¢ 5.4 is approximately US$ 1.0. S.D