Model estimation of the impact of aging, off-farm employment and social network on farmers’ adoption behavior of soil and water conservation technology
| Model 1 | Model 2 | Model 3 | ||||
|---|---|---|---|---|---|---|
| Variable | Coefficient | Standard error | Coefficient | Standard error | Coefficient | Standard error |
| Aging | −0.613*** | 0.163 | −1.706*** | 0.414 | −0.619*** | 0.164 |
| Off-farm employment | −0.775** | 0.259 | −0.771** | 0.261 | −1.195*** | 0.297 |
| Social network | 0.279*** | 0.075 | 0.271*** | 0.075 | 0.262** | 0.076 |
| Aging × social network | – | – | 0.344** | 0.118 | – | – |
| Off-farm employment × social network | – | – | – | – | 0.077** | 0.026 |
| Educational level | −0.021 | 0.021 | −0.018 | 0.021 | −0.020 | 0.021 |
| Gender | −0.032 | 0.389 | −0.066 | 0.393 | −0.026 | 0.393 |
| Agricultural machinery quantity | 0.186 | 0.143 | 0.154 | 0.144 | 0.132 | 0.145 |
| Cultivated land area | 0.109*** | 0.012 | 0.106*** | 0.012 | 0.109*** | 0.012 |
| Village cadres | −0.055 | 0.197 | −0.034 | 0.198 | −0.043 | 0.198 |
| Government investment | 1.053*** | 0.145 | 1.079*** | 0.146 | 1.089*** | 0.146 |
| Severity of soil erosion | 0.201** | 0.069 | 0.209** | 0.069 | 0.203*** | 0.069 |
| Constant | −1.801** | 0.563 | −1.747** | 0.568 | 0.077** | 0.026 |
| LR chi2 | 351.54 | 360.02 | 359.91 | |||
| Prob > chi2 | 0.0000 | 0.0000 | 0.0000 | |||
| Pseudo R2 | 0.2328 | 0.2385 | 0.2384 | |||
| Log likelihood | −579.3948 | −574.70385 | −574.75934 | |||
| Model 1 | Model 2 | Model 3 | ||||
|---|---|---|---|---|---|---|
| Variable | Coefficient | Standard error | Coefficient | Standard error | Coefficient | Standard error |
| Aging | −0.613 | 0.163 | −1.706 | 0.414 | −0.619 | 0.164 |
| Off-farm employment | −0.775 | 0.259 | −0.771 | 0.261 | −1.195 | 0.297 |
| Social network | 0.279 | 0.075 | 0.271 | 0.075 | 0.262 | 0.076 |
| Aging × social network | – | – | 0.344 | 0.118 | – | – |
| Off-farm employment × social network | – | – | – | – | 0.077 | 0.026 |
| Educational level | −0.021 | 0.021 | −0.018 | 0.021 | −0.020 | 0.021 |
| Gender | −0.032 | 0.389 | −0.066 | 0.393 | −0.026 | 0.393 |
| Agricultural machinery quantity | 0.186 | 0.143 | 0.154 | 0.144 | 0.132 | 0.145 |
| Cultivated land area | 0.109 | 0.012 | 0.106 | 0.012 | 0.109 | 0.012 |
| Village cadres | −0.055 | 0.197 | −0.034 | 0.198 | −0.043 | 0.198 |
| Government investment | 1.053 | 0.145 | 1.079 | 0.146 | 1.089 | 0.146 |
| Severity of soil erosion | 0.201 | 0.069 | 0.209 | 0.069 | 0.203 | 0.069 |
| Constant | −1.801 | 0.563 | −1.747 | 0.568 | 0.077 | 0.026 |
| LR chi2 | 351.54 | 360.02 | 359.91 | |||
| Prob > chi2 | 0.0000 | 0.0000 | 0.0000 | |||
| Pseudo | 0.2328 | 0.2385 | 0.2384 | |||
| Log likelihood | −579.3948 | −574.70385 | −574.75934 | |||
Notes:
** and *** respectively represented significant tests at 5 and 1% levels