Table A1

Robustness checks for endogeneity issues with PLS-SEM and Gaussian copula method

Model IModel IIModel IIIModel IVModel V
Independent variablesβL.C.I.U.C.I.βL.C.I.U.C.I.βL.C.I.U.C.I.βL.C.I.U.C.I.βL.C.I.U.C.I.
Digital selling platforms−0.004−0.0840.077−0.098−0.2650.041−0.003−0.0810.064−0.101−0.2710.040−0.091−0.2400.060
Public procurement−0.046−0.057−0.007−0.047−0.058−0.006−0.035−0.066−0.013−0.036−0.069−0.016−0.067−0.123−0.051
Interaction term            0.0320.0020.114
Control variables
Revenue0.3930.3410.4380.3930.3420.4420.3930.3470.4450.3940.3430.4430.3930.3390.441
Employees−0.000−0.0460.0460.000−0.0490.046−0.002−0.0480.047−0.001−0.0500.047−0.000−0.0470.049
Employees trend0.023−0.0100.0460.023−0.0110.0460.023−0.0100.0440.024−0.0100.0460.023−0.0090.046
Local units−0.061−0.080−0.039−0.061−0.079−0.040−0.061−0.082−0.042−0.061−0.083−0.042−0.061−0.081−0.040
Innovation score−0.112−0.146−0.081−0.117−0.150−0.083−0.112−0.145−0.082−0.117−0.148−0.082−0.117−0.151−0.084
Accredia certification0.1400.0390.2490.1370.0330.2520.1390.0220.2480.1360.0290.2480.1370.0260.246
Gaussian copula for public procurement   −0.051−0.2660.080−0.052−0.2630.085   
Gaussian copula for digital selling platforms0.046−0.0150.117   0.048−0.0150.1150.043−0.0190.112
R squared0.235 0.2350.2350.2360.236

Note(s): L.C.I. and U.C.I. stand for lower and upper confidence intervals

2,186 observations. Bootstrapping parameters include 2,000 samples, one-tailed test type, randomized seed, C.I. method Bias-corrected and accelerated bootstrap and C.I. at 90. The software used is SmartPLS 4. All the models have as D.V. "Export intensity" since the software does not allow calculating a single latent factor with both dummy and percentage items. Model I represents the PLS-SEM model with no interaction; Models II, III and IV are PLS-SEM models testing for endogeneity issues adopting the Gaussian copula (G.C.) method; all confirm no endogeneity issues. Model V tests with PLS-SEM the full model with the interaction term, keeping the G.C. just for digital selling platforms since the software in use does not allow measuring a G.C. in a relationship under moderation effect. The robustness checks confirm H2 and H3 but provide non-significant results for H1

Source(s): Authors’ own work

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