Table 8

Impact mechanism: enhancing labor productivity

Variables(1)(2)(3)
laborperformanceperformance
dt0.279***0.5017.638*
(0.070)(0.325)(3.969)
labor 1.188***1.371***
 (0.057)(0.119)
dt✕labor  −0.494*
  (0.275)
state−0.0380.412***0.415***
(0.024)(0.114)(0.113)
lnage−0.025***1.016***1.009***
(0.009)(0.047)(0.047)
lnboard0.117***0.329**0.333**
(0.033)(0.153)(0.153)
indep0.0540.1500.174
(0.091)(0.428)(0.427)
top10−0.030−2.477***−2.502***
(0.051)(0.238)(0.238)
dual−0.016*0.0670.067
(0.010)(0.044)(0.044)
capital0.678***−1.266***−1.270***
(0.016)(0.075)(0.075)
growth0.082***0.440***0.439***
(0.010)(0.038)(0.038)
subsidy−4.319***−7.049***−7.041***
(0.285)(1.273)(1.273)
tax0.086***−0.337***−0.335***
(0.019)(0.083)(0.083)
asset−0.001***0.003***0.004***
(0.000)(0.001)(0.001)
Constant10.703***−3.695***−6.303***
(0.125)(0.845)(1.716)
Year FEYesYesYes
Firm FEYesYesYes
Industry FEYesYesYes
Obs.18,87918,87918,879
R-squared0.8990.8430.843

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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