Table 1

Descriptive statistics of the variables used in this study

TypeVariablesObs.MeanStd. devMinimumMaximum
Dependentperformance19,7338.4963.3852.16217.88
Independentdt19,7330.3570.09880.2320.631
Controlstate19,7330.2620.44001
lnage19,7331.9240.91603.466
lnboard19,7332.1120.1911.3862.890
indep19,7330.3760.05520.1430.800
top1019,7330.5890.1480.2360.893
dual19,7330.3280.47001
capital19,7335.1240.6773.5856.905
growth19,7330.1950.426−0.5332.599
subsidy19,7330.01370.017000.100
tax19,7330.1410.161−0.6310.783
asset19,7339.22927.880.0459919.4
Mechanismrdspend18,7640.2110.895073.84
lnsupply19,733−1.3090.579−3.103−0.249
strategy19,7330.4570.2040.1870.999
innovation19,7331.9241.56905.961
turnover19,7336.7636.0940.00017368.39
HHI19,6370.1320.1260.0231
opticalcable19,733180.5115.15.064415.9
broadband17,5620.4190.33402.380
application19,7332.2557.7320369
finance19,7333.6081.3391.5188.131
fintech18,1684.5951.60407.491
recognition19,7334.7721.763011
manage19,7330.9150.05780.6500.989
labor18,92114.420.86612.6717.03
Instrumenttelecom16,8850.7471.0010.004077.352

Note(s): Std. dev. refers to standard deviation

Source(s): Authors’ own work

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