Table 4.
Dynamic influence of university agricultural technology extension on efficient and sustainable agriculture.
| Coefficient | Standard errors | |
|---|---|---|
| policy−5 | − 0.005 | (0.005) |
| policy−4 | − 0.007 | (0.005) |
| policy−3 | − 0.009 | (0.010) |
| policy−2 | 0.001 | (0.015) |
| policy−1 | 0.019 | (0.014) |
| policy+1 | 0.019* | (0.010) |
| policy+2 | 0.025** | (0.010) |
| policy+3 | 0.027 | (0.017) |
| policy+4 | 0.043*** | (0.013) |
| policy+5 | 0.074*** | (0.027) |
| policy+6 | 0.052*** | (0.011) |
| lnincome | − 0.000 | (0.018) |
| fis | − 0.035 | (0.075) |
| dis | − 0.019* | (0.010) |
| power | − 0.001 | (0.001) |
| urban | − 0.015 | (0.057) |
| indu | 0.004 | (0.051) |
| emp | − 0.233*** | (0.023) |
| Constant | 0.540*** | (0.147) |
| Year dummy | Yes | |
| Region dummy | Yes | |
| Observations | 878 | |
| R2 | 0.236 | |
***, **, and * denote significance at 1%, 5%, and 10%, respectively.