Table 3 Baseline regression.

From: Can internet use promote farmers’ diversity in green production technology adoption? Empirical evidence from rural China

 

Model (1)

Model (2)

Model (3)

Model (4)

Model (5)

Model (6)

Internet use

1.341*** (4.089)

1.867*** (5.941)

1.144*** (3.346)

0.933*** (2.720)

0.939*** (2.738)

0.531*** (2.737)

Head age

  

−0.128*** (−7.353)

−0.090*** (−4.637)

−0.090*** (−4.612)

−0.051*** (−4.608)

Head gender

  

1.564*** (3.651)

1.158*** (2.719)

1.150*** (2.700)

0.650*** (2.699)

Head education

  

−0.973** (−2.363)

−0.617 (−1.278)

−0.597 (−1.236)

−0.338 (−1.236)

Head health

  

1.257*** (3.487)

0.788* (1.956)

0.771* (1.914)

0.436* (1.914)

Head job

  

1.867*** (5.293)

0.387 (0.986)

0.367 (0.935)

0.207 (0.935)

Family education

   

−0.015* (−1.817)

−0.015* (−1.817)

−0.009* (−1.817)

Family income

   

0.006*** (4.352)

0.006*** (4.294)

0.003*** (4.293)

Family burden

   

−0.018*** (−2.938)

−0.018*** (−2.935)

−0.010*** (−2.934)

Family farm labor

   

0.043*** (7.541)

0.043*** (7.507)

0.024*** (7.493)

Family health

   

0.010 (1.240)

0.009 (1.211)

0.005 (1.211)

Family land size

   

0.039*** (5.941)

0.039*** (5.955)

0.022*** (5.958)

Family party

   

0.279 (0.802)

0.308 (0.885)

0.174 (0.885)

Village terrain

    

0.551 (0.887)

0.311 (0.887)

Distance

    

−0.074** (−2.305)

−0.042** (−2.304)

Constant

8.566*** (38.400)

2.193*** (3.843)

6.986*** (5.529)

5.096*** (3.693)

5.090*** (3.689)

 

City dummies

No

Yes

Yes

Yes

Yes

Yes

Year dummies

No

Yes

Yes

Yes

Yes

Yes

ll

−24,641.161

−24,275.869

−24,232.780

−24,167.757

−24,164.892

−24,164.892

chi2

16.695***

747.279***

833.456***

963.502***

969.233***

969.233***

N

6200

6200

6200

6200

6200

6200

  1. t statistics in parentheses; *p < 0.10, **p < 0.05, ***p < 0.01.