Table 9 QAP regression results of the driving factors of the Spatial correlation network of cultivated land use carbon emissions in the YRB.
Variables | Non-standardized Coefficients | Standardized Coefficients | P-Value | Probability1 | Probability2 |
|---|---|---|---|---|---|
Geographical proximity matrix | 0.419 | 0.394*** | 0.006 | 0.006 | 0.994 |
Agricultural economic level | −0.092 | −0.504*** | 0.009 | 0.992 | 0.009 |
Farmer income level | −0.147 | −0.302*** | 0.001 | 0.999 | 0.001 |
Agricultural land transfer | −0.007 | −0.125 | 0.151 | 0.849 | 0.151 |
Urbanization level | 0.035 | 0.580*** | 0.000 | 0.000 | 1.000 |
Farm operating scale | −0.355 | −0.484*** | 0.003 | 0.997 | 0.003 |
Agricultural machinery input intensity | 0.018 | 0.107** | 0.033 | 0.033 | 0.967 |
Environmental regulation | −0.016 | −1.025*** | 0.000 | 1.000 | 0.000 |
R2 | 0.335 | Â | 0.000 | Â | Â |
Adj-R2 | 0.251 |