Evaluating the Effect of China’s Carbon Emission Trading Policy on Energy Efficiency of the Construction Industry Based on a Difference-in-Differences Method
Table 4
Excluding outliers and changes of time.
(1) lnee Winsor
(2) lnee Winsor
(3) lnee 2010
(4) lnee 2010
(5) lnee 2011
(6) lnee 2011
(7) lnee 2012
(8) lnee 2012
(9) lnee 2013
(10) lnee 2013
Treatipostt
0.210∗
0.189∗∗
0.010
0.031
0.094
0.102
0.135
0.124
0.175
0.168∗∗
(1.85)
(2.69)
(0.05)
(0.24)
(0.59)
(1.11)
(0.99)
(1.45)
(1.40)
(2.14)
Productivity
0.012∗
0.007∗∗
0.006∗∗
0.005∗
0.006∗∗
(2.03)
(2.57)
(2.25)
(1.82)
(2.34)
Machinery
−0.018∗
−0.019∗∗
−0.019∗∗
−0.019∗∗
−0.018∗∗
(−1.97)
(−2.49)
(−2.45)
(−2.45)
(−2.39)
Urbanratio
3.582∗∗
2.529
2.730
2.961
3.294∗
(2.14)
(1.31)
(1.50)
(1.68)
(1.97)
Lnesratio
0.525∗∗∗
0.470∗∗∗
0.476∗∗∗
0.472∗∗∗
0.470∗∗∗
(6.74)
(6.01)
(5.83)
(5.74)
(5.59)
Rdratio
33.329∗∗
36.771∗∗
32.578∗∗
31.589∗∗
29.904∗∗
(2.36)
(2.52)
(2.29)
(2.26)
(2.14)
_Cons
3.155∗∗∗
1.416
3.168∗∗∗
1.998
3.157∗∗∗
1.968∗
3.154∗∗∗
1.871
3.154∗∗∗
1.689
(415.36)
(1.44)
(94.12)
(1.65)
(147.88)
(1.70)
(208.44)
(1.68)
(284.18)
(1.60)
Province FE
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Year FE
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Adj. R2
0.892
0.944
0.888
0.938
0.888
0.939
0.889
0.939
0.890
0.940
N
270
270
270
270
270
270
270
270
270
270
Standard errors are clustered at the provincial level.t statistics in parentheses. ∗p < 0.10, ∗∗p < 0.05, ∗∗∗p < 0.01.
