Table 2 The regression results and marginal effects of the impact factors.

From: Evaluation of industrial ecology in the π-shaped curve area of China’s Yellow River based on the grey Lotka–Volterra model

Marginal effect

X

Coef.

Std. Err

Z

1

2

3

4

5

PAT*R&D

0.003*

0.002

1.78

 − 0.0002

 − 0.0001

 − 0.0001

0.0003

0.0001

URB

 − 0.180**

0.082

 − 2.21

0.0132

0.0067

0.0037

 − 0.0177

 − 0.0059

ln_GDP

4.305**

1.855

2.32

 − 0.3163

 − 0.1604

 − 0.0880

0.4231

0.1416

DEN

 − 0.011

0.009

 − 1.20

0.0008

0.0004

0.0002

 − 0.0011

 − 0.0004

ln_RES

 − 5.900**

2.718

 − 2.17

0.4336

0.2199

0.1207

 − 0.5799

 − 0.1941

ln_POR

0.749*

0.433

1.73

 − 0.0549

 − 0.0279

 − 0.0153

0.0735

0.0246

Mar*GOV

 − 3.069*

1.728

 − 1.78

0.2256

0.1144

0.0628

 − 0.3017

 − 0.1010

ln_POL

4.358**

1.902

2.29

 − 0.3203

 − 0.1624

 − 0.0891

0.4284

0.1434

STR

6.219**

2.593

2.40

 − 0.4568

 − 0.2316

 − 0.1271

0.6110

0.2045

  1. *Correlation is significant at 10% level.
  2. **Correlation is significant at 5% level.
  3. ***Correlation is significant at 1% level.
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