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Table 4 Double-hurdle estimates of factors influencing inoculant technology adoption

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

Variable

Adoption decision

Intensity of adoption

Coefficient

Std. error

Coefficient

Std. error

Farmer/household factors

 

 Sex

3.326**

1.637

3.184

6.423

 Age

1.157***

0.422

0.646

1.355

 Age squared

0.012***

0.004

0.009

0.015

 Educational status

1.154***

0.406

1.556

1.005

 Household size

0.151*

0.079

1.179***

0.382

 Cattle ownership

0.106

1.098

14.10**

5.542

Farm-level characteristics

 Degree of specialization

3.658

2.657

21.38*

12.201

 Soil fertility status

2.249*

1.215

1.661

5.343

Input variables

 Cost of ploughing

0.015

0.012

0.166***

0.048

 Fertilizer dummy

14.82***

4.773

32.21***

6.978

 Pesticides and herbicides

12.19***

3.901

16.60***

4.645

Institutional factors

 Off-farm employment

4.014**

1.613

8.815*

5.048

 Extension visits

12.94***

4.054

4.398

5.793

 Member of farmer group

7.409***

2.515

2.190

4.779

 Access to credit

1.988

1.745

1.549

6.220

 Distance to market

 

0.293

0.824

2.067

 Constant

15.07**

7.550

17.89

32.999

 Sigma

  

21.54***

1.787

  1. ***, ** and * indicate statistical significance at 1%, 5% and 10% respectively
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Agriculture & Food Security

ISSN: 2048-7010