Effect of Industrial Robots on Employment in China: An Industry Level Analysis
Table 4
Effects of robots on employment of the four group.
Group A
Group B
Group C
Group D
(1) OLS
(2) FE
(3) RE
(1) OLS
(2) FE
(3) RE
(1) OLS
(2) FE
(3) RE
(1) OLS
(2) FE
(3) RE
lnRobot
0.258
0.108
0.258
−0.177
−0.194
−0.177
0.039
0.047
0.045
0.121
0.137
0.121
(3.76)
(13.28)
(7.66)
(−4.54)
(−8.55)
(−6.46)
(1.53)
(6.49)
(2.62)
(0.69)
(2.63)
(2.35)
lnFDI
−0.402
−0.032
−0.402
−0.047
0.021
−0.047
0.311
−0.018
−0.072
−0.006
0.190
−0.006
(−4.78)
(−1.38)
(−9.75)
(−0.95)
(0.49)
(−1.04)
(−7.39)
(−0.99)
(−1.79)
(−0.03)
(1.12)
(−0.08)
lnRD
0.057
0.029
0.057
−0.065
0.172
−0.065
0.641
0.018
0.084
−0.014
−0.004
−0.014
(1.72)
(0.92)
(1.54)
(−2.17)
(2.21)
(−3.07)
(5.19)
(1.14)
(2.24)
(−0.15)
(−0.10)
(−0.35)
_Cons
4.331
2.717
4.331
2.979
1.401
2.979
1.460
2.592
2.572
3.579
2.368
3.579
(8.02)
(12.12)
(17.28)
(50.32))
(2.64)
(14.54)
(2.90)
(27.49)
(11.36)
(2.29)
(2.22)
(7.28)
N
40
40
40
20
20
20
49
49
49
20
20
20
R2
0.73
0.901
0.890
0.792
0.793
0.427
0.782
0.276
F
.
119.941
25.39
51.884
14.268
.
3.752
Notes. This table reports the impact of industrial robots on employment of the four groups. The dependent variable is employment at the industrial level. All other variables are defined in Section 3.2. OLS is the pooled regression and FE, RE are the fixed and random effect model, respectively. t statistics are reported in parentheses. ,, and indicate significance at the 1%, 5%, and 10% levels, respectively.
