Table 9

Impact mechanism: enhancing management efficiency

Variables(1)(2)(3)
manageperformanceperformance
dt0.015**0.886***7.356**
(0.007)(0.326)(3.138)
manage 7.015***9.652***
 (0.569)(1.486)
dt✕manage  −7.109**
  (3.408)
state−0.004*0.341***0.338***
(0.002)(0.114)(0.114)
lnage0.004***0.968***0.958***
(0.001)(0.047)(0.047)
lnboard0.012***0.468***0.465***
(0.004)(0.156)(0.156)
indep−0.0010.3320.320
(0.010)(0.442)(0.442)
top100.018***−2.539***−2.557***
(0.005)(0.234)(0.233)
dual0.0020.0260.025
(0.001)(0.044)(0.044)
capital−0.000−0.444***−0.443***
(0.001)(0.060)(0.060)
growth0.011***0.431***0.430***
(0.001)(0.038)(0.038)
subsidy−0.589***−7.166***−7.262***
(0.040)(1.229)(1.225)
tax0.015***−0.347***−0.353***
(0.002)(0.083)(0.083)
asset0.000***0.002**0.003**
(0.000)(0.001)(0.001)
Constant0.871***2.502***0.135
(0.012)(0.771)(1.479)
Year FEYesYesYes
Firm FEYesYesYes
Industry FEYesYesYes
Obs.19,69219,69219,692
R-squared0.7340.8320.832

Note(s): This regression controls for year, firm and industry fixed effects, and the standard errors are heteroskedasticity-robust. ***, ** and * refer to statistical significance at the 1, 5 and 10% levels, respectively

Source(s): Authors’ own work

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