Figure 1

Estimation of the impact of ESIF on labour productivity_
| Variable | Coefficients |
|---|---|
| log (EAFRDEMFFpc) | 7.3573*** |
| log (ERDFpc) | 3.2260*** |
| log (GFCF) | 9.5602** |
| EduLow | −1.0459*** |
| PrimGVA | 1.4592* |
| CONS | 49.6282** |
| N of observations | 104 |
| N of groups | 8 |
| F(5,91) | 25.68 |
| Prob > F | 0.0000 |
| F (FE are jointly zero) | 38.71 |
| Prob > F | 0.0000 |
Empirical results of dynamic Dif-GMM estimation_
| Variable | Coefficients |
|---|---|
| LP(−1) | 0.5863*** |
| log (EAFRDEMFFpc) | 3.1287*** |
| log (GFCF) | 7.6210** |
| EduLow | −0.0400** |
| PrimGVA | 1.1370** |
| CONS | 13.3223* |
| N of observations | 96 |
| N of groups | 8 |
| Wald χ 2 (5) | 5725.69 |
| Prob > χ 2 | 0.0000 |
Estimated variable coefficients for modelling labour productivity_
| Region | Intercept | log (EAFRDpc) | EduLow | log (GFCF) | PrimGVA | LP(−1) |
|---|---|---|---|---|---|---|
| RO11 | −9.614 | 3.826 | −0.215 | 12.690 | 0.484 | 0.657 |
| RO12 | −15.345 | 9.533 | 0.337 | −6.408 | 1.164 | 0.644 |
| RO21 | −18.865 | −0.723 | 0.337 | −6.408 | 1.164 | 0.826 |
| RO22 | −20.162 | 8.677 | 0.619 | −5.458 | 0.212 | 0.660 |
| RO31 | 55.856 | 2.299 | 0.067 | 1.976 | 0.009 | 0.272 |
| RO32 | −26.214 | 2.647 | 0.578 | 33.340 | 4.731 | 0.386 |
| RO41 | 77.121 | 5.999 | −1.500 | 11.051 | −2.604 | 0.446 |
| RO42 | 45.884 | 2.392 | −0.925 | 6.661 | 3.807 | 0.143 |
Data sources_
Testing the hypothesis on random effects in modelling labour productivity_
| FE test | ||
| Statistic | p-value | Alternative |
| 2.9508 | 0.0078 | Significant effects |
| Hausman endogeneity test | ||
| Statistic | p-value | Alternative |
| 24.7177 | 0.0001 | One model is inconsistent |
LASSO’s results regarding the most important determinants_
| Variable | LASSO | Post-estimation OLS |
|---|---|---|
| log (EAFRDEMFFpc) | 10.0348 | 10.3199** |
| log (ERDFpc) | 2.9831 | 3.0211** |
| log (GFCF) | 29.2896 | 29.4165** |
| log (GERD) | 4.9112 | 4.9793** |
| EQI | −15.7593 | −16.1696** |
| EduLow | −0.5370 | −0.5364** |
| PrimGVA | −0.8517 | −0.8623** |
| CONS | 0.4388006 | 1.846910** |
Empirical results of the LASSO method for the labour productivity indicator_
| Lambda | L1-Norm | EBIC | R-square |
|---|---|---|---|
| 5241.22405 | 0.00000 | 705.66556 | 0.0000 |
| 4775.60815 | 3.48932 | 696.13488 | 0.1274 |
| 2268.80077 | 21.77004 | 616.51606 | 0.6119 |
| 1883.59826 | 23.47559 | 607.44592 | 0.6599 |
| 1563.79637 | 24.66088 | 601.04308 | 0.6941 |
| 742.92997 | 27.86920 | 582.66685 | 0.7549 |
| 561.99928 | 29.55684 | 582.16015 | 0.7667 |
| 425.131884 | 33.10793 | 580.57758 | 0.7803 |