Skip to main content

Table 6 The regression results regarding the effectiveness of relative prices in rising and falling periods 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

  c AP DP Y S E T  
C1 −3.9126 (−2.130**) −0.1207 (−0.972) −0.1278 (−0.966) 0.1430 (0.6107) −0.1421 (−0.441) 3.0930 (8.6167***) 0.3542 (3.0364***) R2 = 0.9960
DW = 1.8515
−0.3520 (−4.334***) −0.3564 (−3.991***) 0.9063 (10.055***) 1.6272 (10.005***) R2 = 0.9966
DW = 1.8975
C2 −8.5171 (−4.638***) −0.1207 (−0.972) −0.1278 (−0.966) −0.8569 (−3.660***) −0.1422 (−0.442) 3.0929 (8.6190***) 0.3542 (3.0373***) R2 = 0.9904
DW = 1.8514
12.2223 (−6.963***) −0.2353 (−5.545***) −0.2657 (−6.204***) −0.9136 (−3.381***) 3.9045 (10.8265***) R2 = 0.9824
DW = 1.7998
  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 statistics