Table 4 Re-estimation based on different dependent variables.

From: Does digitalization improve firm-level energy efficiency? Evidence from a quasi-natural experiment in China

Variables

Revenue/energy consumption

Energy consumption/number of workers

Electricity

Coal

Oil

Electricity

Coal

Oil

(1)

(2)

(3)

(4)

(5)

(6)

BCP

−0.188*** (0.017)

0.174*** (0.031)

0.049** (0.021)

0.188*** (0.015)

−0.119*** (0.027)

−0.045** (0.018)

C

6.383*** (0.004)

−5.804*** (0.008)

7.485*** (0.005)

−0.376*** (0.004)

−0.077*** (0.007)

−1.431*** (0.005)

Firm FE

Yes

Yes

Yes

Yes

Yes

Yes

Industry FE

Yes

Yes

Yes

Yes

Yes

Yes

Year FE

Yes

Yes

Yes

Yes

Yes

Yes

City FE

Yes

Yes

Yes

Yes

Yes

Yes

Observations

316175

147323

213428

364589

170952

245529

R2

0.232

0.259

0.188

0.176

0.260

0.188

Adj-R2

0.231

0.257

0.186

0.175

0.258

0.186

F

116.191

31.995

5.393

154.516

19.854

6.474

  1. (1) *** and ** signify significance at the 1% and 5% levels, respectively. (2) High-dimensional fixed effects methods are employed to concurrently control for firm characteristics, year characteristics, industry characteristics, and city characteristics. (3) Firm-level cluster robust standard errors are presented in parentheses. (4) The new dependent variables are in natural logarithms.
Back to article page