Table 5 Results of QAP correlation analysis between spatial correlation matrix and influencing factors.

From: Study on spatial correlation and driving factors of industrial carbon emission in the Hefei metropolitan area based on SNA-QAP method

Variable

Obs value

Significance

Average

Std Dev

Minimum

Maximum

Prop ≥ 0

Prop ≤ 0

X1

0.669***

0.003

− 0.001

0.222

− 0.551

0.711

0.003

0.998

X2

− 0.123

0.315

0.005

0.225

− 0.557

0.792

0.687

0.315

X3

0.179

0.207

0.001

0.232

− 0.513

0.618

0.207

0.796

X4

0.278*

0.087

− 0.003

0.230

− 0.485

0.658

0.087

0.914

X5

0.619***

0.003

− 0.003

0.228

− 0.556

0.679

0.003

0.998

X6

− 0.045

0.594

− 0.001

0.223

− 0.809

0.527

0.744

0.594

X7

0.383**

0.030

− 0.001

0.234

− 0.540

0.528

0.030

0.971

X8

0.315*

0.073

− 0.001

0.237

− 0.493

0.435

0.073

0.929

X9

0.443**

0.032

0.003

0.222

− 0.574

0.760

0.032

0.969

X10

0.276*

0.081

0.000

0.235

− 0.487

0.417

0.081

0.922

  1. *Significant at the 10% level.
  2. **Significant at the 5% level.
  3. ***Significant at the 1% level.
  4. Significant values are in bold.