Table 10

Impact mechanism: reducing supply chain concentration

Variables(1)(2)(3)
lnsupplyperformanceperformance
dt−0.363***0.948***4.262***
(0.073)(0.332)(0.601)
lnsupply −0.130***−0.976***
 (0.046)(0.132)
dt✕lnsupply  2.473***
  (0.355)
state−0.0090.309***0.283**
(0.021)(0.116)(0.115)
lnage−0.125***0.977***0.953***
(0.010)(0.047)(0.047)
lnboard−0.0270.547***0.541***
(0.035)(0.158)(0.157)
indep0.0220.3300.320
(0.096)(0.448)(0.447)
top100.028−2.411***−2.329***
(0.048)(0.238)(0.238)
dual0.0150.0380.038
(0.009)(0.045)(0.045)
capital0.102***−0.431***−0.442***
(0.011)(0.061)(0.061)
growth0.022***0.512***0.505***
(0.007)(0.039)(0.038)
subsidy−0.565**−11.372***−11.119***
(0.248)(1.245)(1.240)
tax−0.006−0.240***−0.243***
(0.017)(0.086)(0.085)
asset0.0000.003***0.003***
(0.000)(0.001)(0.001)
Constant−1.428***8.427***7.364***
(0.120)(0.587)(0.612)
Year FEYesYesYes
Firm FEYesYesYes
Industry FEYesYesYes
Obs.19,69219,69219,692
R-squared0.7400.8280.829

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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