Table 3 Estimation results of the impact of rural AIS integration on residents’ income.
Variables | System GMM (1) | 25% quantile (2) | 50% quantile (3) | 75% quantile (4) |
|---|---|---|---|---|
\({{\rm{lnrurdi}}}_{-1}\) | 0.874*** (0.023) | |||
aisin | 0.260*** (0.100) | 0.781** (0.332) | 0.856*** (0.176) | 0.909*** (0.172) |
urban | 0.441*** (0.122) | 4.504*** (0.263) | 4.436*** (0.139) | 4.388*** (0.136) |
inter | −0.087** (0.041) | −0.224 (0.036) | −0.233* (0.122) | −0.239** (0.119) |
rpcap | 0.164*** (0.054) | 0.298* (0.179) | 0.256*** (0.095) | 0.226** (0.093) |
hucap | −0.061*** (0.017) | 0.091* (0.054) | 0.091*** (0.029) | 0.092*** (0.028) |
polic | −0.001 (0.010) | 0.139*** (0.036) | 0.118*** (0.019) | 0.103*** (0.019) |
fiser | −0.117*** (0.044) | 0.090 (0.119) | 0.040 (0.063) | 0.004 (0.062) |
constant | 1.439*** (0.182) | |||
AR(1) z value (P value) | −4.23 (0.000) | |||
AR(2) z value (P value) | 0.95 (0.344) | |||
Hansen test statistic (P value) | 15.67 (0.267) | |||
Instruments | 22 | |||
Observations | 420 | 420 | 420 | 420 |
