Skip to main content

Table 3 The regression results regarding the direct effectiveness of the relevant variables with respect to industrial energy consumption in China

From: The impact of relative energy prices on industrial energy consumption in China: a consideration of inflation costs

Variables C1 C2
C −8.351 (−4.834***) −12.283 (−6.91***)
Y −1.148 (−1.780*) 0.892 (11.644***) −0.870 (−3.856***)
S 3.423 (6.083***) 1.649 (11.526***) −0.128 (−0.410) −0.857 (−3.18***)
E 3.058 (9.122***) 3.869 (10.63***)
T 1.045 (3.118***) 0.355 (−3.117***)
P −0.761 (−2.523**) −0.337 (−5.159***) −0.108 (−0.934) −0.250 (−6.04***)
  R2 = 0.953
DW = 0.582
R2 = 0.996
DW = 1.903
R2 = 0.990
DW = 1.878
R2 = 0.981
DW = 1.969
  1. *, **, *** Rejection of the null hypothesis at the 10, 5 and 1 % confidence levels, respectively. For the regression model C1, which includes Y, S and P, the iterative estimation method is used because the regression results that use OLS are not sound
  2. The values in parentheses are t value