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Table 3 Estimated results of regulated effects based on SYS-GMM

From: Export fluctuation and overcapacity in China’s manufacturing industry—the inspection of the causes of excess capacity from the perspective of external demand

 

Scal as regulated variable

Stat as regulated variable

(1)

(2)

(3)

(4)

(5)

(6)

(7)

(8)

Exd

0.3536***

(2.51)

0.1788

(1.61)

0.1133

(0.99)

0.0655

(0.86)

0.2694***

(2.85)

−0.0433

(−0.86)

0.1336

(1.25)

0.0832

(0.68)

Scal

0.1625***

(2.72)

0.1553**

(2.19)

0.1281*

(1.99)

0.1659

(1.56)

    

Stat

    

0.3727***

(2.95)

0.1863**

(2.03)

0.2120*

(1.81)

0.1768

(1.21)

Exd × Scal

 

0.2869***

(5.10)

 

0.2009**

(2.15)

    

Exd × Stat

     

0.4619***

(3.37)

 

0.3997***

(2.62)

InpK

  

0.3435***

(3.66)

0.3060***

(3.13)

  

0.3245***

(3.09)

0.3007***

(2.75)

InpL

  

0.2031***

(2.56)

0.1989**

(2.12)

  

0.1998***

(2.39)

0.1990**

(2.28)

Up

  

−0.3120

(−1.23)

−0.1063

(−1.44)

  

0.2869

(1.27)

−0.1423

(−1.62)

Down

  

−0.1066***

(−3.44)

−0.1386**

(−2.16)

  

−0.1697**

(−2.16)

−0.1066**

(−2.26)

AR(1)

0.0070

0.0210

0.0080

0.0110

0.0300

0.0320

0.0390

0.0120

AR(2)

0.1240

0.1080

0.1260

0.1290

0.3330

0.2930

0.1860

0.2610

Sargan test

0.4500

0.3750

0.4720

0.3990

0.1620

0.2770

0.4310

0.3670

Hansen test

1.0000

1.0000

0.9880

1.0000

1.0000

1.0000

1.0000

1.0000

  1. Note: Figures in brackets are z statistics; *, **, and *** represent the significance above 0.1, 0.05, and 0.01; estimates are made by using two-step estimation, and factors like industry and year are controlled; constant terms and the lagged variables of explained variables are included in estimates but their results have not been listed; all four test values are all the value of p