Table 8

Regional heterogeneity

Variable(1)(2)(3)
Eastern regionsCentral regionsWestern regions
lnCOGSlnCOGSlnCOGS
lnREV0.969***0.992***0.948***
(131.186)(86.918)(43.588)
Dec×lnREV−0.052−0.102−0.108
(−1.106)(−1.639)(−1.067)
DT0.002***0.003*0.004**
(2.937)(1.883)(1.984)
Dec×lnREV×DT0.016**0.0120.018
(2.045)(0.799)(1.122)
EInt−0.003***−0.0020.005*
(−2.682)(−0.790)(1.828)
Dec×lnREV×EInt−0.057***−0.045***−0.002
(−5.539)(−2.819)(−0.164)
AInt−0.002**0.0020.001
(−2.247)(1.303)(0.867)
Dec×lnREV×AInt−0.006−0.003−0.002
(−1.590)(−0.457)(−0.333)
Sdec−0.0010.009−0.016
(−0.341)(1.243)(−1.534)
Dec×lnREV×Sdec−0.0050.061−0.052
(−0.217)(1.326)(−1.008)
GDPgrow0.106−0.1140.085
(1.318)(−1.149)(0.478)
Dec×lnREV×GDPgrow1.426***0.864*1.293*
(3.026)(1.653)(1.862)
Independ0.0050.012−0.003
(0.318)(0.426)(−0.068)
Top1−0.0070.001−0.002
(−1.257)(0.104)(−0.149)
Mshare0.016***0.0110.0020
(2.625)(0.761)(0.802)
Dual0.0010.0060.005
(0.609)(1.401)(0.790)
Age−0.008***−0.008**−0.012***
(−4.358)(−2.145)(−2.597)
Soe0.0010.0050.007
(0.292)(1.281)(1.340)
Lev0.013**0.0070.037**
(2.365)(0.699)(2.361)
Size0.0010.0020.000
(0.834)(0.919)(0.195)
_cons−0.006−0.014−0.009
(−0.244)(−0.363)(−0.153)
Industry and year FEYesYesYes
N17,0454,3103,288
adj. R20.8670.8740.842
F1214.924380.333202.978
Chin25.53**

Note(s): Table 8 examines the impact of digital transformation of enterprises on cost stickiness across different regions. The total sample is divided into three subsamples: Eastern, Central and Western regions. The regressions are repeated following Model 2. Definitions of all variables are provided in Appendix Table 1. All models are controlled for industry and year effects

t-values are in parentheses. ***p < 0.01, **p < 0.05 and *p < 0.1

Source(s): Table created by authors

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