| Explanatory variables | Binary Logistic Regression | LPM | |
|
|
| Marginal Effects |
|
| Gender | 0.388 | 0.036 | 0.053 |
| (0.415) | (0.039) | (0.044) | |
| Farmer’s Age | 0.227** | 0.021** | 0.024** |
| (0.108) | (0.010) | (0.009) | |
| Age squared | −0.002* | −0.000* | 0.000** |
| (0.001) | (0.000) | (0.000) | |
| Education level | 0.224*** | 0.021*** | 0.03*** |
| (0.056) | (0.004) | (0.006) | |
| Farming experience | −0.165** | −0.016** | −0.01 |
| (0.075) | (0.007) | (0.007) | |
| Household size | 0.387 *** | 0.036*** | 0.03*** |
| (0.117) | (0.010) | (0.009) | |
| Total household income | 1.607*** | 0.151*** | 0.181*** |
| (0.277) | (0.019) | (0.025) | |
| Credit | −1.75* | −0.164* | −0.106* |
| (0.901) | (0.083) | (0.098) | |
| Extension support | 1.913** | 0.179** | 0.101 |
| (0.93) | (0.085) | (0.098) | |
| Access to forest | −0.068 | 0.036 | −0.005 |
| (0.066) | (0.006) | (0.006) | |
| Constant | −18.956*** |
| 0.000*** |
| (3.443) |
| (0.282) | |