The Green Credit Policy Impact on the Financial Performance of Commercial Banks: A Quasi-Natural Experiment from China
Table 5
Green credit policy effects on the profit of different banks.
Variables
(1)
(2)
(3)
(4)
Large national banks
City and rural banks
Higher NPLR
Lower NPLR
TREAT∗POST
0.159
0.170
0.151
0.163
(1.97)
(1.91)
(1.74)
(2.03)
SIZE
1.114
1.132
1.099
1.125
(6.76)
(6.55)
(6.52)
(6.95)
NPLR
−0.233
−0.222
−0.229
−0.226
(−6.36)
(−5.91)
(−6.14)
(−6.18)
CIR
−1.868
−1.949
−1.838
−2.018
(−3.73)
(−3.86)
(−3.58)
(−4.12)
CAR
0.0115
0.0141
0.0107
0.0143
(0.66)
(0.78)
(0.60)
(0.82)
LDR
0.416
0.188
0.403
0.203
(1.63)
(0.74)
(1.63)
(0.79)
NIIR
0.100
0.131
0.0800
0.148
(0.67)
(0.87)
(0.52)
(1.00)
GRGDP
−0.00938
−0.00640
−0.00992
−0.0107
(−0.30)
(−0.19)
(−0.31)
(−0.34)
MP
−14.75
−15.02
−14.60
−14.93
(−7.62)
(−7.26)
(−7.37)
(−7.67)
CONSTANT
−3.306
−4.031
−3.209
−3.420
(−0.72)
(−0.81)
(−0.68)
(−0.73)
Time fixed effect
YES
YES
YES
YES
Observation
416
392
408
408
Adj R2
0.542
0.575
0.535
0.585
Notes: ,, and indicate that the estimated coefficients are significant at the 10%, 5%, and 1% levels, respectively. The numbers in parentheses are t statistics. The results are based on STATA 16.0 estimation.
