A Novel Approach towards Assessing the Impact of Air Quality and Major Public Health Emergencies on Light Industry: A Multiscale Investigation towards Improving the Risk Prevention System
Table 3
Regression results for the effects of major public health emergencies on enterprises.
Model 1
Model 2
Model 3
Model 4
Model 5
-0.008 (0.039)
-0.012 (0.039)
-0.011 (0.039)
-0.015 (0.039)
0.008 (0.001)
0.009 (0.002)
0.010 (0.003)
0.013 (0.002)
0.007 (0.002)
Scale
-0.011 (0.002)
Nature
-0.006 (0.002)
Overseas
-0.009 (0.023)
Industry
0.005 (0.001)
Age
-0.009 (0.002)
-0.009 (0.002)
-0.009 (0.002)
-0.009 (0.002)
-0.009 (0.002)
Labor
0.014 (0.006)
0.016 (0.001)
0.014 (0.001)
0.014 (0.001)
0.014 (0.006)
Capital
-0.003 (0.009)
-0.003 (0.001)
-0.003 (0.001)
-0.002 (0.001)
-0.003 (0.009)
ITR
-0.013(0.014)
-0.009(0.013)
-0.015(0.014)
-0.009(0.013)
-0.003(0.001)
ROA
-0.157 (0.003)
-0.157 (0.003)
-0.156 (0.003)
-0.157 (0.003)
-0.155 (0.003)
Asset
0.003 (0.006)
0.003 (0.006)
0.003 (0.001)
0.n(0.001)
0.003 (0.006)
DTL
-0.001 (0.007)
-0.002 (0.001)
-0.002 (0.001)
-0.018 (0.007)
-0.002 (0.007)
Constants
0.072 (0.005)
0.065 (0.006)
0.072 (0.006)
0.075 (0.005)
0.068 (0.005)
Observations
13936
13936
13936
13936
13936
0.1794
0.1814
0.1807
0.1821
0.1836
Note: ,, and denote 10%, 5%, and 1% levels of significance, respectively.
