Table 3.
Drivers of adoption via binary logit model.
| Variables | Coefficients | SE | Marginal effect |
|---|---|---|---|
| Age (Years) | 0.011** | 0.005 | 0.001 |
| Education (Years) | 0.019 | 0.016 | 0.002 |
| Gender (dummy) | 0.066 | 0.197 | 0.007 |
| Spouse education (Years) | −0.002 | 0.009 | 0.000 |
| Working member (Number) | 0.066* | 0.038 | 0.007 |
| Mobile phone (dummy) | 0.416** | 0.190 | 0.052 |
| Television (dummy) | 0.345** | 0.149 | 0.038 |
| Annual income (USD) | 0.000 | 0.000 | 0.000 |
| Electricity (dummy) | 0.327** | 0.160 | 0.039 |
| Crop farm size (ha.) | −0.273** | 0.120 | −0.030 |
| Extension contacts (dummy) | 1.418*** | 0.283 | 0.108 |
| No. Of livestock (Number) | 0.220*** | 0.042 | 0.024 |
| Livestock raised for marketing (dummy) | 0.015 | 0.405 | 0.002 |
| Livestock raised for marketing and consumption (dummy) | 0.497 | 0.398 | 0.060 |
| Distance from market (Kms.) | −0.004** | 0.002 | 0.000 |
| Constant | −0.809 | 0.554 | 0.001 |
| Log pseudolikelihood | −912 | ||
| Wald chi-square | 111*** | ||
| Pseudo R2 | 0.08 | ||
| No. Of observations | 2317 | ||