Table 4.
Effect decomposition of Spatial Durbin Model (SDM) under different weight matrices.
| Weight matrix | Spatial adjacency matrix | Geographic distance matrix | ||||
|---|---|---|---|---|---|---|
| Variables | Total effect | Direct effect | Indirect effect | Total effect | Direct effect | Indirect effect |
| RTI | −0.045** (0.019) | −0.033** (0.014) | −0.012* (0.007) | −0.057*** (0.015) | −0.032*** (0.008) | −0.015** (0.006) |
| PS | −0.019** (0.008) | −0.024** (0.010) | 0.005 (0.004) | −0.033* (0.020) | −0.047** (0.019) | 0.014* (0.008) |
| RH | 0.097* (0.058) | 0.063*** (0.017) | 0.034*** (0.009) | 0.085 (0.103) | 0.061*** (0.014) | 0.024** (0.010) |
| PEF | −0.180 (0.221) | −0.157 (0.196) | −0.023 (0.029) | −0.156 (0.194) | −0.183 (0.230) | 0.027 (0.034) |
| RMI | −0.121* (0.074) | −0.096** (0.041) | −0.025** (0.010) | −0.132** (0.056) | −0.159** (0.065) | 0.027 (0.023) |
| RLG | 0.023** (0.010) | 0.029*** (0.008) | −0.006 (0.005) | 0.031*** (0.008) | 0.023** (0.010) | 0.008*** (0.002) |
| RPC | 0.027*** (0.007) | 0.055*** (0.015) | −0.028** (0.012) | 0.041** (0.017) | 0.028*** (0.007) | −0.013* (0.008) |
*,** and ***
represent the significance level of 10, 5, and 1%, respectively, and the data in brackets is standard deviation.