Table 2.
Benchmark regression model.
| Variable | Pure technical efficiency of agricultural production | |
|---|---|---|
| Agricultural land confirmation | 0.082∗∗∗ (0.011) | 0.083∗∗∗ (0.010) |
| Average age | −0.002∗∗∗ (0.000) | −0.001 (0.000) |
| Proportion of highly educated population | −0.016 (0.022) | −0.001 (0.020) |
| The proportion of women | 0.004 (0.028) | 0.029 (0.026) |
| Population | −0.014∗∗∗ (0.003) | −0.008∗∗∗ (0.003) |
| Intergenerational work | −0.003 (0.007) | 0.004 (0.006) |
| Per capita income | 0.006 (0.005) | 0.006 (0.004) |
| Number of plots | 0.017∗∗∗ (0.002) | 0.001 (0.002) |
| Willingness to transfer land | −0.001 (0.002) | 0.001 (0.002) |
| Grain sowing proportion | −0.268∗∗∗ (0.021) | 0.013 (0.025) |
| Proportion of agricultural training | 0.039∗ (0.024) | 0.043∗∗ (0.021) |
| Agricultural machinery usage | −0.030 (0.030) | 0.017 (0.028) |
| Irrigation conditions | −0.027∗∗∗ (0.005) | 0.010∗∗ (0.005) |
| Soil fertility | −0.019∗∗∗ (0.006) | −0.005 (0.005) |
| Village terrain | 0.021 (0.027) | 0.006 (0.015) |
| Distance | 0.007∗∗∗ (0.002) | 0.002 (0.001) |
| Traffic conditions | 0.003 (0.005) | 0.006 (0.005) |
| Intercept term | 0.392∗∗∗ (0.101) | 0.191∗∗∗ (0.071) |
| County dummy variable | No | Yes |
| Observation | 2081 | 2081 |
| R 2 | 0.249 | 0.395 |
Note. ∗, ∗∗, and ∗∗∗ represent significant statistical levels at 10%, 5%, and 1%, respectively; robust standard errors are in brackets.